[
  {
    "path": ".gitignore",
    "content": "# Byte-compiled / optimized / DLL files\n__pycache__/\n*.py[cod]\n*$py.class\n\n# C extensions\n*.so\n\n# Distribution / packaging\n.Python\nbuild/\ndevelop-eggs/\ndist/\ndownloads/\neggs/\n.eggs/\nlib/\nlib64/\nparts/\nsdist/\nvar/\nwheels/\n*.egg-info/\n.installed.cfg\n*.egg\nMANIFEST\n\n# PyInstaller\n#  Usually these files are written by a python script from a template\n#  before PyInstaller builds the exe, so as to inject date/other infos into it.\n*.manifest\n*.spec\n\n# Installer logs\npip-log.txt\npip-delete-this-directory.txt\n\n# Unit test / coverage reports\nhtmlcov/\n.tox/\n.coverage\n.coverage.*\n.cache\nnosetests.xml\ncoverage.xml\n*.cover\n.hypothesis/\n.pytest_cache/\n\n# Translations\n*.mo\n*.pot\n\n# Django stuff:\n*.log\nlocal_settings.py\ndb.sqlite3\n\n# Flask stuff:\ninstance/\n.webassets-cache\n\n# Scrapy stuff:\n.scrapy\n\n# Sphinx documentation\ndocs/_build/\n\n# PyBuilder\ntarget/\n\n# Jupyter Notebook\n.ipynb_checkpoints\n\n# pyenv\n.python-version\n\n# celery beat schedule file\ncelerybeat-schedule\n\n# SageMath parsed files\n*.sage.py\n\n# Environments\n.env\n.venv\nenv/\nvenv/\nENV/\nenv.bak/\nvenv.bak/\n\n# Spyder project settings\n.spyderproject\n.spyproject\n\n# Rope project settings\n.ropeproject\n\n# mkdocs documentation\n/site\n\n# mypy\n.mypy_cache/\n"
  },
  {
    "path": "LICENSE",
    "content": "MIT License\n\nCopyright (c) 2018 Daniel Chen\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n"
  },
  {
    "path": "README.md",
    "content": "# PyData 2018: Cleaning and Tidying Data in Pandas\n\nhttps://github.com/chendaniely/pydatadc_2018-tidy/\n\n# Setup\n\nThe easiest way to get everything you need to the tutorial is to install `anaconda`\n\nYou can download and install it here: https://www.anaconda.com/download/\n\nTo get the data, the easiest way is to click the \"Clone or Download\" link above and clicking [Download Zip](https://github.com/chendaniely/pydatadc_2018-tidy/archive/master.zip)\n\n# Resources\n\n- Tidy Data Paper: http://vita.had.co.nz/papers/tidy-data.pdf\n- Pandas pivot: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.pivot.html\n- Pandas pivot table: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.pivot_table.html\n- Pandas DataFrame documentation: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html\n- Pandas API: https://pandas.pydata.org/pandas-docs/stable/api.html\n"
  },
  {
    "path": "data/billboard.csv",
    "content": "\"year\",\"artist\",\"track\",\"time\",\"date.entered\",\"wk1\",\"wk2\",\"wk3\",\"wk4\",\"wk5\",\"wk6\",\"wk7\",\"wk8\",\"wk9\",\"wk10\",\"wk11\",\"wk12\",\"wk13\",\"wk14\",\"wk15\",\"wk16\",\"wk17\",\"wk18\",\"wk19\",\"wk20\",\"wk21\",\"wk22\",\"wk23\",\"wk24\",\"wk25\",\"wk26\",\"wk27\",\"wk28\",\"wk29\",\"wk30\",\"wk31\",\"wk32\",\"wk33\",\"wk34\",\"wk35\",\"wk36\",\"wk37\",\"wk38\",\"wk39\",\"wk40\",\"wk41\",\"wk42\",\"wk43\",\"wk44\",\"wk45\",\"wk46\",\"wk47\",\"wk48\",\"wk49\",\"wk50\",\"wk51\",\"wk52\",\"wk53\",\"wk54\",\"wk55\",\"wk56\",\"wk57\",\"wk58\",\"wk59\",\"wk60\",\"wk61\",\"wk62\",\"wk63\",\"wk64\",\"wk65\",\"wk66\",\"wk67\",\"wk68\",\"wk69\",\"wk70\",\"wk71\",\"wk72\",\"wk73\",\"wk74\",\"wk75\",\"wk76\"\n2000,\"2 Pac\",\"Baby Don't Cry (Keep...\",\"4:22\",\"2000-02-26\",87,82,72,77,87,94,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"2Ge+her\",\"The Hardest Part Of ...\",\"3:15\",\"2000-09-02\",91,87,92,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"3 Doors Down\",\"Kryptonite\",\"3:53\",\"2000-04-08\",81,70,68,67,66,57,54,53,51,51,51,51,47,44,38,28,22,18,18,14,12,7,6,6,6,5,5,4,4,4,4,3,3,3,4,5,5,9,9,15,14,13,14,16,17,21,22,24,28,33,42,42,49,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"3 Doors Down\",\"Loser\",\"4:24\",\"2000-10-21\",76,76,72,69,67,65,55,59,62,61,61,59,61,66,72,76,75,67,73,70,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"504 Boyz\",\"Wobble Wobble\",\"3:35\",\"2000-04-15\",57,34,25,17,17,31,36,49,53,57,64,70,75,76,78,85,92,96,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"98^0\",\"Give Me Just One Nig...\",\"3:24\",\"2000-08-19\",51,39,34,26,26,19,2,2,3,6,7,22,29,36,47,67,66,84,93,94,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"A*Teens\",\"Dancing Queen\",\"3:44\",\"2000-07-08\",97,97,96,95,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Aaliyah\",\"I Don't Wanna\",\"4:15\",\"2000-01-29\",84,62,51,41,38,35,35,38,38,36,37,37,38,49,61,63,62,67,83,86,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Aaliyah\",\"Try Again\",\"4:03\",\"2000-03-18\",59,53,38,28,21,18,16,14,12,10,9,8,6,1,2,2,2,2,3,4,5,5,6,9,13,14,16,23,22,33,36,43,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Adams, Yolanda\",\"Open My Heart\",\"5:30\",\"2000-08-26\",76,76,74,69,68,67,61,58,57,59,66,68,61,67,59,63,67,71,79,89,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Adkins, Trace\",\"More\",\"3:05\",\"2000-04-29\",84,84,75,73,73,69,68,65,73,83,92,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Aguilera, Christina\",\"Come On Over Baby (A...\",\"3:38\",\"2000-08-05\",57,47,45,29,23,18,11,9,9,11,1,1,1,1,4,8,12,22,23,43,44,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Aguilera, Christina\",\"I Turn To You\",\"4:00\",\"2000-04-15\",50,39,30,28,21,19,20,17,17,17,17,3,3,7,10,17,25,29,29,40,43,50,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Aguilera, Christina\",\"What A Girl Wants\",\"3:18\",\"1999-11-27\",71,51,28,18,13,13,11,1,1,2,2,3,3,4,12,11,13,15,18,20,30,40,39,44,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Alice Deejay\",\"Better Off Alone\",\"6:50\",\"2000-04-08\",79,65,53,48,45,36,34,29,27,30,36,37,39,49,57,63,65,68,79,86,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Allan, Gary\",\"Smoke Rings In The D...\",\"4:18\",\"2000-01-22\",80,78,76,77,92,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Amber\",\"Sexual\",\"4:38\",\"1999-07-17\",99,99,96,96,100,93,93,96,NA,NA,99,NA,96,96,99,98,98,NA,95,88,88,79,76,69,69,59,58,58,49,44,42,46,50,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Anastacia\",\"I'm Outta Love\",\"4:01\",\"2000-04-01\",92,NA,NA,95,NA,NA,NA,NA,NA,NA,NA,97,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Anthony, Marc\",\"My Baby You\",\"3:59\",\"2000-09-16\",82,76,76,70,82,81,74,80,76,76,73,74,87,83,89,93,94,94,91,90,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Anthony, Marc\",\"You Sang To Me\",\"3:50\",\"2000-02-26\",77,54,50,43,30,27,21,18,15,13,13,13,13,5,2,2,5,7,9,12,12,16,20,20,22,25,26,29,35,33,40,44,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Avant\",\"My First Love\",\"4:28\",\"2000-11-04\",70,62,56,43,39,33,26,26,26,31,32,31,38,38,52,57,64,73,81,79,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Avant\",\"Separated\",\"4:13\",\"2000-04-29\",62,32,30,23,26,30,35,32,32,25,23,28,27,29,27,31,31,33,40,51,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"BBMak\",\"Back Here\",\"3:35\",\"2000-04-29\",99,86,60,52,38,34,28,21,18,18,19,15,18,13,16,15,16,16,17,15,18,17,16,22,24,30,36,37,42,45,49,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Backstreet Boys, The\",\"Shape Of My Heart\",\"3:49\",\"2000-10-14\",39,25,24,15,12,12,10,9,10,12,17,19,29,26,24,31,52,63,62,70,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Backstreet Boys, The\",\"Show Me The Meaning ...\",\"3:54\",\"2000-01-01\",74,62,55,25,16,14,12,10,12,9,7,6,6,6,8,9,13,19,23,26,32,34,45,47,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Backstreet Boys, The\",\"The One\",\"3:46\",\"2000-05-27\",58,50,43,37,31,30,39,47,55,61,76,90,93,93,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Badu, Erkyah\",\"Bag Lady\",\"5:03\",\"2000-08-19\",67,53,42,41,48,42,34,6,9,9,8,11,15,21,26,29,26,38,56,66,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Baha Men\",\"Who Let The Dogs Out\",\"3:17\",\"2000-07-22\",99,92,85,76,65,54,61,58,54,54,53,53,43,40,44,41,51,65,78,84,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Barenaked Ladies\",\"Pinch Me\",\"3:46\",\"2000-09-09\",77,76,69,45,51,37,33,29,26,25,16,15,15,19,19,20,22,20,21,34,44,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Beenie Man\",\"Girls Dem Sugar\",\"4:17\",\"2000-10-21\",72,72,63,56,62,63,54,60,69,75,84,92,85,84,95,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Before Dark\",\"Monica\",\"4:04\",\"2000-05-20\",95,87,80,80,77,87,91,91,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Bega, Lou\",\"Tricky Tricky \",\"3:23\",\"2000-01-29\",75,74,87,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Big Punisher\",\"It's So Hard\",\"3:25\",\"2000-04-22\",96,87,75,79,81,81,76,76,78,84,90,88,94,98,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Black Rob\",\"Whoa!\",\"4:04\",\"2000-03-04\",78,59,53,52,47,46,43,47,47,58,54,57,70,85,84,93,97,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Black, Clint\",\"Been There\",\"5:28\",\"2000-02-19\",87,73,62,58,58,57,51,47,44,44,44,55,53,53,63,84,85,87,95,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Blaque\",\"Bring It All To Me\",\"3:46\",\"1999-10-23\",73,63,50,42,24,19,17,14,11,9,9,9,10,5,5,6,8,9,15,15,18,17,18,19,19,22,26,32,42,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Blige, Mary J.\",\"Deep Inside\",\"5:26\",\"1999-11-13\",83,80,80,75,75,73,64,64,65,67,63,67,75,85,94,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Blige, Mary J.\",\"Give Me You\",\"5:00\",\"2000-04-15\",97,94,77,76,68,77,89,90,NA,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Blink-182\",\"All The Small Things\",\"2:52\",\"1999-12-04\",89,76,69,59,59,51,50,35,26,15,7,6,8,8,9,11,14,16,18,23,33,41,43,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Bloodhound Gang\",\"The Bad Touch\",\"4:20\",\"2000-03-18\",70,62,55,55,52,57,72,80,82,92,96,98,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Bon Jovi\",\"It's My Life\",\"3:44\",\"2000-08-12\",64,58,51,51,48,45,36,33,34,34,35,34,39,44,51,58,61,84,85,87,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Braxton, Toni\",\"He Wasn't Man Enough\",\"4:21\",\"2000-03-18\",63,55,48,39,35,24,3,2,2,4,4,5,11,12,16,15,14,14,12,10,11,13,13,13,15,16,14,13,17,19,23,29,37,33,34,41,48,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Braxton, Toni\",\"Just Be A Man About ...\",\"4:10\",\"2000-07-29\",76,69,51,42,37,32,32,34,34,38,50,53,53,63,65,72,79,84,89,90,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Braxton, Toni\",\"Spanish Guitar\",\"4:24\",\"2000-12-02\",98,98,98,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Brock, Chad\",\"A Country Boy Can Su...\",\"3:54\",\"2000-01-01\",93,75,92,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Brock, Chad\",\"Yes!\",\"3:22\",\"2000-04-08\",90,77,66,61,59,47,39,33,32,31,28,27,22,27,31,39,45,50,53,59,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Brooks & Dunn\",\"You'll Always Be Lov...\",\"2:58\",\"2000-06-10\",95,85,85,85,83,83,82,74,74,68,62,56,56,55,62,71,86,100,98,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Brooks, Garth\",\"Do What You Gotta Do\",\"2:56\",\"2000-02-19\",86,81,72,70,69,77,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Byrd, Tracy\",\"Put Your Hand In Min...\",\"4:30\",\"2000-01-29\",81,77,76,76,86,88,92,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Cagle, Chris\",\"My Love Goes On And ...\",\"3:02\",\"2000-10-21\",99,94,94,87,84,83,76,76,79,83,91,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Cam'ron\",\"What Means The World...\",\"4:38\",\"2000-10-14\",94,94,96,91,84,83,88,87,95,92,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Carey, Mariah\",\"Crybaby\",\"5:19\",\"2000-06-24\",28,34,48,62,77,90,95,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Carey, Mariah\",\"Thank God I Found Yo...\",\"4:14\",\"1999-12-11\",82,68,50,50,41,37,26,22,22,2,1,2,4,13,21,28,43,57,82,89,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Carter, Aaron\",\"Aaron's Party (Come ...\",\"3:23\",\"2000-08-26\",99,75,57,35,35,37,43,79,51,55,67,83,86,92,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Carter, Torrey\",\"Take That\",\"3:43\",\"2000-06-24\",94,88,86,91,89,87,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Changing Faces\",\"That Other Woman\",\"4:00\",\"2000-09-30\",80,72,66,66,64,76,65,66,75,85,97,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Chesney, Kenny\",\"I Lost It\",\"3:54\",\"2000-10-21\",75,67,61,58,58,53,47,47,40,34,36,45,42,45,60,70,82,88,89,92,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Chesney, Kenny\",\"What I Need To Do\",\"4:05\",\"2000-04-01\",79,74,68,72,69,69,62,58,57,57,56,56,56,72,80,93,95,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Clark Family Experience\",\"Meanwhile Back At Th...\",\"2:56\",\"2000-11-18\",87,86,81,92,80,80,82,84,82,81,85,91,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Clark, Terri\",\"A Little Gasoline\",\"3:07\",\"2000-12-16\",75,82,88,96,99,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Common\",\"The Light\",\"3:55\",\"2000-08-05\",75,55,53,49,46,44,49,51,51,56,52,56,70,82,86,89,93,93,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Counting Crows\",\"Hanginaround\",\"4:07\",\"1999-11-06\",84,70,66,60,46,37,35,35,35,32,29,29,28,32,38,48,56,59,61,66,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Creed\",\"Higher\",\"5:16\",\"1999-09-11\",81,77,73,63,61,58,56,52,56,57,57,57,57,57,60,61,61,57,60,61,NA,NA,NA,NA,NA,NA,NA,NA,43,41,34,28,25,23,22,16,16,18,14,13,13,11,11,9,9,7,7,9,9,12,14,16,17,17,21,26,29,32,39,39,43,47,50,50,49,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Creed\",\"With Arms Wide Open\",\"3:52\",\"2000-05-13\",84,78,76,74,70,68,74,75,69,74,70,79,84,86,76,62,45,29,19,11,10,7,5,3,3,3,1,2,2,3,3,3,4,5,5,5,5,9,12,13,13,17,22,26,28,37,41,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Cyrus, Billy Ray\",\"You Won't Be Lonely ...\",\"3:45\",\"2000-09-23\",97,97,97,92,91,88,85,80,82,80,80,89,95,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"D'Angelo\",\"Left & Right\",\"4:35\",\"1999-12-11\",93,77,75,70,91,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"D'Angelo\",\"Untitled (How Does I...\",\"7:10\",\"2000-01-22\",77,56,35,26,25,25,28,28,31,35,39,44,51,60,73,79,94,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"DMX\",\"Party Up (Up In Here...\",\"3:45\",\"2000-02-26\",88,74,62,56,49,44,38,32,27,27,27,27,27,28,28,33,35,42,44,46,43,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"DMX\",\"What You Want\",\"4:05\",\"2000-07-01\",98,95,95,87,86,79,62,60,58,57,52,55,49,57,62,65,87,89,99,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"DMX\",\"What's My Name\",\"3:50\",\"2000-01-15\",98,76,69,69,67,73,76,90,90,94,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Da Brat\",\"That's What I'm Look...\",\"3:44\",\"2000-02-26\",93,73,60,60,60,60,63,56,58,70,71,72,90,94,94,94,94,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Da Brat\",\"What'Chu Like\",\"3:57\",\"2000-06-03\",71,65,54,54,51,41,41,33,28,31,26,28,36,39,49,58,62,65,68,68,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Davidson, Clay\",\"Unconditional\",\"3:56\",\"2000-03-25\",97,97,97,90,83,78,74,69,60,56,54,50,49,55,52,51,51,62,63,83,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"De La Soul\",\"All Good?\",\"5:02\",\"2000-12-23\",96,96,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Destiny's Child\",\"Independent Women Pa...\",\"3:38\",\"2000-09-23\",78,63,49,33,23,15,7,5,1,1,1,1,1,1,1,1,1,1,1,2,3,7,10,12,15,22,29,31,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Destiny's Child\",\"Jumpin' Jumpin'\",\"3:48\",\"2000-05-13\",74,71,65,62,57,50,40,37,22,18,13,8,6,4,3,4,3,3,3,3,4,4,6,7,6,8,10,15,24,30,35,39,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Destiny's Child\",\"Say My Name\",\"4:31\",\"1999-12-25\",83,83,44,38,16,13,16,16,16,18,17,14,1,1,1,2,2,3,5,5,5,7,10,13,14,18,23,23,34,37,43,47,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Diffie, Joe\",\"It's Always Somethin...\",\"2:55\",\"2000-08-12\",81,78,67,63,60,57,63,69,78,85,92,92,NA,99,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Diffie, Joe\",\"The Quittin' Kind\",\"3:23\",\"2000-01-01\",98,100,100,90,93,94,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Dion, Celine\",\"That's The Way It Is\",\"4:03\",\"1999-11-13\",74,68,65,49,44,34,30,30,17,14,11,8,9,10,11,11,6,8,7,7,9,10,14,16,26,31,35,42,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Dixie Chicks, The\",\"Cold Day In July\",\"5:12\",\"2000-06-24\",80,79,76,72,68,68,65,70,84,91,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Dixie Chicks, The\",\"Cowboy Take Me Away\",\"4:51\",\"1999-11-27\",79,72,70,61,52,52,52,39,31,27,27,27,31,37,40,47,51,56,59,59,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Dixie Chicks, The\",\"Goodbye Earl\",\"4:19\",\"2000-03-18\",40,29,24,24,20,20,20,19,38,61,86,88,96,96,98,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Dixie Chicks, The\",\"Without You\",\"3:32\",\"2000-10-07\",80,70,63,56,50,49,48,46,41,40,35,31,33,44,36,35,37,43,51,54,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Dr. Dre\",\"Forgot About Dre\",\"3:42\",\"2000-01-22\",75,55,47,36,36,30,30,31,26,25,25,26,26,28,34,47,58,68,80,82,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Dr. Dre\",\"The Next Episode\",\"2:38\",\"2000-05-27\",78,67,58,53,46,41,32,27,26,23,26,27,32,32,44,46,47,50,52,58,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Drama\",\"Left, Right, Left\",\"3:37\",\"2000-02-12\",100,98,89,80,75,73,80,86,91,96,100,98,96,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Dream\",\"He Loves U Not\",\"3:43\",\"2000-09-30\",99,92,81,59,47,42,32,27,18,18,11,8,5,2,2,3,3,3,7,9,10,11,10,19,23,28,38,46,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Eastsidaz, The\",\"G'D Up\",\"4:27\",\"2000-01-08\",77,77,89,64,57,47,47,55,65,69,83,82,90,94,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Eastsidaz, The\",\"Got Beef\",\"3:58\",\"2000-07-01\",99,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Eiffel 65\",\"Blue\",\"3:29\",\"1999-12-11\",67,29,16,16,13,11,9,6,7,9,13,19,21,24,32,42,56,60,76,88,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Elliott, Missy \"\"Misdemeanor\"\"\",\"Hot Boyz\",\"3:51\",\"1999-11-27\",36,21,13,9,7,7,5,7,7,7,8,11,7,10,11,12,15,17,23,30,38,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Eminem\",\"Stan\",\"5:26\",\"2000-11-04\",78,67,57,57,51,51,51,57,55,70,69,77,88,93,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Eminem\",\"The Real Slim Shady\",\"4:42\",\"2000-05-06\",70,32,20,16,11,7,6,4,5,4,8,9,16,30,49,68,83,88,98,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Eminem\",\"The Way I Am\",\"4:40\",\"2000-08-26\",87,74,59,65,59,58,59,62,89,86,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"En Vogue\",\"Riddle\",\"5:10\",\"2000-06-17\",92,92,97,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Estefan, Gloria\",\"No Me Dejes De Quere...\",\"3:25\",\"2000-06-10\",77,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Evans, Sara\",\"Born To Fly\",\"5:36\",\"2000-10-21\",77,71,64,57,55,51,46,44,36,39,34,46,44,36,42,53,58,74,81,86,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Eve\",\"Got It All\",\"3:48\",\"2000-07-15\",89,88,88,91,95,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Eve\",\"Love Is Blind\",\"3:51\",\"2000-01-08\",94,91,57,46,46,40,34,39,42,46,50,59,66,78,87,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Everclear\",\"Wonderful\",\"4:30\",\"2000-07-08\",77,69,53,37,33,25,24,23,22,25,28,25,11,13,13,11,18,28,36,39,45,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Fabian, Lara\",\"I Will Love Again\",\"3:43\",\"2000-06-10\",91,80,75,61,60,52,45,40,36,32,37,45,68,80,80,89,96,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Fatboy Slim\",\"The Rockafeller Skan...\",\"4:00\",\"1999-11-13\",94,94,94,87,77,77,83,82,82,92,76,95,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Filter\",\"Take A Picture\",\"4:23\",\"1999-11-27\",91,74,64,52,38,38,34,31,21,19,12,13,15,20,19,22,23,24,31,42,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Foo Fighters\",\"Learn To Fly\",\"3:55\",\"1999-10-16\",80,69,68,63,60,52,42,32,30,25,22,22,26,20,19,20,26,30,35,42,50,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Fragma\",\"Toca's Miracle\",\"3:22\",\"2000-10-28\",99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Funkmaster Flex\",\"Do You\",\"4:14\",\"2000-11-11\",92,92,95,91,91,94,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Ghostface Killah\",\"Cherchez LaGhost\",\"3:04\",\"2000-08-05\",98,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Gill, Vince\",\"Feels Like Love\",\"4:13\",\"2000-09-02\",82,76,74,73,73,65,59,58,54,54,53,52,55,52,57,76,91,99,NA,91,89,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Gilman, Billy\",\"One Voice\",\"4:07\",\"2000-06-17\",86,86,82,72,65,56,56,55,44,44,43,38,40,44,61,77,85,95,97,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Ginuwine\",\"None Of Ur Friends B...\",\"4:12\",\"1999-12-11\",94,84,71,71,60,63,48,48,48,55,64,71,85,85,92,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Ginuwine\",\"The Best Man I Can B...\",\"4:06\",\"2000-01-08\",97,97,83,94,84,88,85,82,77,77,85,89,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Goo Goo Dolls\",\"Broadway\",\"3:54\",\"2000-04-22\",74,58,53,42,35,31,29,25,29,26,24,33,46,48,57,62,74,82,85,87,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Gray, Macy\",\"I Try\",\"3:52\",\"2000-02-19\",68,51,47,36,30,20,15,12,8,7,7,7,6,5,6,9,10,11,14,16,16,16,21,27,34,40,46,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Griggs, Andy\",\"She's More\",\"3:19\",\"2000-03-11\",81,76,69,67,62,55,52,51,51,48,47,43,42,37,41,50,69,73,77,85,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Guy\",\"Dancin'\",\"4:08\",\"1999-12-18\",46,29,19,22,36,44,58,58,68,75,94,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Hanson\",\"This Time Around\",\"4:14\",\"2000-04-22\",22,22,20,45,87,71,95,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Hart, Beth\",\"L.A. Song\",\"3:47\",\"1999-11-27\",99,100,98,99,99,99,98,90,99,97,91,97,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Heatherly, Eric\",\"Flowers On The Wall\",\"3:16\",\"2000-04-29\",95,88,88,82,82,77,72,67,65,65,65,60,60,53,51,50,57,77,83,89,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Henley, Don\",\"Taking You Home\",\"4:08\",\"2000-06-24\",79,77,74,73,66,62,58,58,61,68,71,71,79,83,85,87,83,90,87,87,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Herndon, Ty\",\"No Mercy\",\"4:43\",\"2000-03-18\",100,99,99,NA,NA,98,94,92,95,96,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Hill, Faith\",\"Breathe\",\"4:04\",\"1999-11-06\",81,68,62,51,42,35,28,28,28,43,30,23,23,21,21,21,5,3,3,4,4,3,3,3,2,2,3,3,2,2,3,4,2,5,8,11,13,14,18,22,23,22,24,30,31,31,38,39,42,49,49,48,47,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Hill, Faith\",\"Let's Make Love\",\"4:11\",\"2000-08-12\",83,83,73,73,67,60,60,60,57,55,54,69,88,91,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Hoku\",\"Another Dumb Blonde\",\"3:47\",\"2000-02-19\",69,49,49,34,34,34,30,27,36,41,53,56,80,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Hollister, Dave\",\"Can't Stay\",\"6:17\",\"2000-03-25\",84,84,93,98,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Hot Boys\",\"I Need A Hot Girl\",\"4:16\",\"2000-02-19\",77,75,71,65,65,70,69,77,79,90,92,95,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Houston, Whitney\",\"Could I Have This Ki...\",\"3:54\",\"2000-06-17\",74,68,68,67,59,59,60,52,54,56,59,70,69,81,87,95,98,100,NA,97,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Houston, Whitney\",\"I Learned From The B...\",\"4:18\",\"2000-02-19\",83,83,83,40,28,27,28,36,53,73,82,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Houston, Whitney\",\"My Love Is Your Love\",\"4:16\",\"1999-09-04\",81,68,44,16,11,9,8,7,8,7,8,8,6,6,5,5,5,5,4,6,10,10,11,20,22,27,34,49,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Houston, Whitney\",\"Same Script, Differe...\",\"4:45\",\"2000-06-17\",71,71,71,71,70,75,77,88,91,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"IMx\",\"Stay The Night\",\"3:37\",\"1999-10-09\",84,61,45,43,40,38,36,31,34,34,40,36,36,23,41,62,70,71,79,78,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Ice Cube\",\"You Can Do It\",\"4:20\",\"1999-12-04\",86,66,50,42,42,40,35,46,45,54,73,89,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Ideal\",\"Whatever\",\"3:48\",\"2000-06-10\",75,75,67,73,64,56,54,54,54,48,47,50,60,68,73,81,92,90,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Iglesias, Enrique\",\"Be With You\",\"3:36\",\"2000-04-01\",63,45,34,23,17,12,9,8,8,6,5,4,1,1,1,3,11,14,24,28,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Iglesias, Enrique\",\"Rhythm Divine\",\"7:35\",\"1999-12-04\",90,84,79,67,67,39,33,32,38,38,49,51,61,61,66,88,96,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"J-Shin\",\"One Night Stand\",\"4:34\",\"1999-12-25\",96,96,69,74,72,62,49,45,38,34,38,45,47,58,68,88,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Ja Rule\",\"Between Me And You\",\"4:05\",\"2000-09-16\",85,74,61,37,27,22,22,16,14,11,11,14,17,18,18,21,30,30,42,53,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Jackson, Alan\",\"It Must Be Love\",\"2:53\",\"2000-06-24\",76,74,68,63,57,49,44,39,39,38,37,37,40,47,62,64,75,80,84,89,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Jackson, Alan\",\"Pop A Top\",\"3:04\",\"1999-11-13\",79,73,70,64,63,57,55,55,63,52,43,47,55,78,95,100,NA,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Jackson, Alan\",\"www.memory\",\"2:36\",\"2000-11-04\",75,59,59,54,50,49,47,45,49,69,63,67,77,89,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Jagged Edge\",\"He Can't Love U\",\"3:30\",\"1999-12-11\",54,32,17,17,15,18,18,18,18,25,24,24,26,33,44,51,53,65,69,77,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Jagged Edge\",\"Let's Get Married\",\"4:23\",\"2000-05-06\",77,66,55,45,38,42,33,29,28,26,23,15,11,14,14,17,20,20,21,23,24,29,36,47,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Janet\",\"Doesn't Really Matte...\",\"4:17\",\"2000-06-17\",59,52,43,30,29,22,15,10,10,5,1,1,1,2,2,3,3,7,8,20,25,37,40,41,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Jay-Z\",\"Anything\",\"3:41\",\"2000-02-26\",72,58,55,55,63,74,86,92,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Jay-Z\",\"Big Pimpin'\",\"3:55\",\"2000-04-22\",69,52,39,33,28,25,25,23,20,19,21,18,20,20,26,29,35,33,41,50,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Jay-Z\",\"Do It Again (Put Ya ...\",\"3:47\",\"2000-01-15\",95,68,65,65,74,84,92,96,95,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Jay-Z\",\"Hey Papi\",\"3:40\",\"2000-08-12\",98,100,98,94,83,83,80,78,76,77,85,91,93,88,94,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Jay-Z\",\"I Just Wanna Love U ...\",\"3:50\",\"2000-10-28\",58,45,35,26,23,19,14,14,13,11,12,12,12,15,15,19,24,28,29,30,40,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Jean, Wyclef\",\"911\",\"4:00\",\"2000-10-07\",77,74,64,61,53,48,43,38,42,38,44,49,53,61,66,68,80,85,96,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Joe\",\"I Wanna Know\",\"4:57\",\"2000-01-01\",94,86,69,50,41,33,32,28,28,27,27,25,23,20,17,15,14,11,11,14,11,11,10,12,10,6,4,5,4,5,5,7,6,8,5,6,9,9,8,14,16,20,32,45,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Joe\",\"Treat Her Like A Lad...\",\"4:12\",\"2000-08-05\",77,75,63,63,69,64,68,67,72,79,78,84,85,90,89,99,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"John, Elton\",\"Someday Out Of The B...\",\"4:41\",\"2000-04-22\",56,56,49,59,67,60,64,73,81,90,93,89,98,94,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Jones, Donell\",\"Where I Wanna Be\",\"6:22\",\"2000-04-22\",81,71,65,50,41,41,36,41,38,35,33,29,36,34,34,40,42,49,55,62,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Jordan, Montell\",\"Get It On.. Tonite\",\"4:34\",\"1999-10-23\",92,80,72,69,67,61,54,43,38,24,24,20,19,15,15,5,4,4,7,10,5,9,9,7,9,10,10,15,18,23,30,42,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Juvenile\",\"U Understand\",\"3:51\",\"2000-02-05\",85,83,100,98,97,96,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Kandi\",\"Don't Think I'm Not\",\"3:50\",\"2000-08-05\",66,66,66,61,49,42,36,33,28,24,26,26,28,29,27,31,31,26,25,25,30,40,36,41,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Keith, Toby\",\"Country Comes To Tow...\",\"3:39\",\"2000-08-05\",82,78,75,69,66,62,59,58,55,55,54,62,81,95,93,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Keith, Toby\",\"How Do You Like Me N...\",\"3:29\",\"2000-01-29\",77,72,59,53,45,43,41,36,36,32,31,31,35,35,38,43,45,51,52,54,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Kelis\",\"Caught Out There\",\"4:09\",\"1999-12-04\",84,68,67,63,63,54,56,59,68,67,75,90,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Kenny G\",\"Auld Lang Syne (The ...\",\"7:50\",\"1999-12-25\",89,89,7,8,66,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Kid Rock\",\"Only God Knows Why\",\"5:27\",\"2000-02-19\",63,47,46,39,35,26,26,23,19,19,21,25,25,29,32,44,52,62,69,78,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Kravitz, Lenny\",\"I Belong To You\",\"4:17\",\"2000-03-25\",78,77,71,71,71,83,90,90,93,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Kumbia Kings\",\"U Don't Love Me\",\"3:50\",\"2000-03-04\",81,64,62,67,70,70,75,87,89,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"LFO\",\"I Don't Wanna Kiss Y...\",\"5:00\",\"2000-04-15\",63,61,68,73,91,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"LFO\",\"West Side Story\",\"3:27\",\"2000-08-05\",96,84,88,96,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"LL Cool J\",\"Imagine That\",\"4:00\",\"2000-08-12\",99,98,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Larrieux, Amel\",\"Get Up\",\"4:02\",\"2000-03-04\",100,97,97,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Lawrence, Tracy\",\"Lessons Learned\",\"2:55\",\"2000-01-29\",80,73,61,61,48,48,48,48,44,42,40,40,50,66,81,93,94,99,99,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Levert, Gerald\",\"Baby U Are\",\"4:10\",\"2000-08-19\",96,89,92,96,96,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Levert, Gerald\",\"Mr. Too Damn Good\",\"4:06\",\"2000-03-18\",84,83,83,76,86,86,88,97,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Lil Bow Wow\",\"Bounce With Me\",\"3:22\",\"2000-08-19\",48,35,24,24,20,20,20,20,22,27,27,36,40,53,61,69,80,90,99,NA,NA,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Lil Wayne\",\"Tha Block Is Hot\",\"4:13\",\"1999-12-04\",99,89,92,84,84,72,81,81,86,87,95,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Lil' Kim\",\"How Many Licks?\",\"3:50\",\"2000-11-25\",79,75,77,86,86,89,NA,NA,96,96,96,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Lil' Kim\",\"No Matter What They ...\",\"4:12\",\"2000-07-15\",80,72,67,60,65,73,81,86,90,97,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Lil' Mo\",\"Ta Da\",\"4:17\",\"2000-08-12\",100,99,97,97,100,95,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Lil' Zane\",\"Callin' Me\",\"3:43\",\"2000-07-29\",83,89,57,40,34,21,33,46,45,59,67,84,95,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Limp Bizkit\",\"N 2 Gether Now\",\"3:55\",\"1999-12-04\",94,88,85,78,78,73,84,86,90,97,96,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Limp Bizkit\",\"Re-Arranged\",\"4:08\",\"1999-12-04\",91,91,90,95,95,99,96,96,92,88,89,93,91,91,89,90,93,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Limp Bizkit\",\"Rollin'\",\"4:04\",\"2000-11-11\",77,73,72,66,65,65,67,73,74,78,80,86,86,91,93,96,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Lonestar\",\"Amazed\",\"4:25\",\"1999-06-05\",81,54,44,39,38,33,29,29,32,27,26,24,27,32,33,35,35,40,43,50,NA,NA,NA,NA,NA,NA,NA,NA,NA,45,45,45,23,17,14,17,18,18,3,1,1,2,3,4,4,5,6,8,9,10,12,15,20,22,22,25,26,31,32,37,42,42,45,50,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Lonestar\",\"Smile\",\"3:33\",\"1999-12-18\",89,80,80,80,65,47,44,42,39,39,43,41,43,45,50,58,67,78,85,91,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Lonestar\",\"What About Now\",\"3:30\",\"2000-06-10\",78,72,66,64,56,50,47,39,37,34,30,30,35,36,37,43,54,60,61,69,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Lopez, Jennifer\",\"Feelin' Good\",\"4:28\",\"2000-02-19\",79,79,66,54,54,54,54,51,61,79,96,NA,NA,64,74,73,79,82,96,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Loveless, Patty\",\"That's The Kind Of M...\",\"3:27\",\"2000-09-16\",98,93,93,93,88,88,82,81,73,71,71,72,85,91,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Lox\",\"Ryde or Die, Chick\",\"3:56\",\"2000-03-18\",86,73,80,84,91,97,97,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Lucy Pearl\",\"Dance Tonight\",\"3:45\",\"2000-05-20\",80,75,63,59,55,49,42,42,40,40,36,43,46,54,72,84,84,86,92,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Ludacris\",\"What's Your Fantasy\",\"4:16\",\"2000-09-30\",89,83,63,55,49,40,33,32,30,25,22,21,24,24,24,27,25,34,32,35,41,47,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"M2M\",\"Don't Say You Love M...\",\"3:41\",\"1999-11-20\",72,53,62,46,54,44,44,21,64,92,98,98,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"M2M\",\"Mirror Mirror\",\"3:19\",\"2000-04-01\",87,87,94,91,75,68,65,86,62,70,74,70,70,80,82,87,90,96,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Madison Avenue\",\"Don't Call Me Baby\",\"3:44\",\"2000-07-08\",98,96,93,93,93,92,92,92,90,92,88,88,88,95,93,98,93,92,90,97,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Madonna\",\"American Pie\",\"4:30\",\"2000-02-19\",43,35,29,29,33,32,40,58,88,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Madonna\",\"Music\",\"3:45\",\"2000-08-12\",41,23,18,14,2,1,1,1,1,2,2,2,2,2,4,8,11,16,20,25,27,27,29,44,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Martin, Ricky\",\"Private Emotion\",\"4:02\",\"2000-03-11\",76,67,71,78,89,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Martin, Ricky\",\"Shake Your Bon-Bon\",\"3:08\",\"1999-11-20\",74,66,52,39,39,39,39,46,47,54,91,28,22,33,46,70,87,93,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Martin, Ricky\",\"She Bangs\",\"4:02\",\"2000-10-07\",38,28,21,21,18,16,13,13,12,20,22,29,43,54,55,73,92,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Mary Mary\",\"Shackles (Praise You...\",\"3:12\",\"2000-03-25\",90,76,72,54,43,37,34,28,33,30,31,39,43,53,60,70,71,76,84,94,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Master P\",\"Souljas\",\"3:33\",\"2000-11-18\",98,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"McBride, Martina\",\"Love's The Only Hous...\",\"5:13\",\"2000-02-05\",79,69,65,58,53,52,52,48,45,43,42,42,50,60,64,75,91,93,92,90,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"McBride, Martina\",\"There You Are\",\"3:26\",\"2000-09-09\",79,75,75,75,73,64,60,60,60,63,63,82,92,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"McEntire, Reba\",\"I'll Be\",\"4:23\",\"2000-05-13\",89,79,79,72,69,64,61,57,55,55,52,51,53,60,81,84,93,91,94,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"McEntire, Reba\",\"What Do You Say\",\"3:26\",\"1999-10-30\",88,76,71,71,69,63,56,51,46,46,53,43,33,31,34,41,50,60,68,71,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"McGraw, Tim\",\"My Best Friend\",\"4:33\",\"1999-11-27\",85,76,71,64,54,54,55,46,38,29,29,33,32,31,36,38,39,41,46,49,48,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"McGraw, Tim\",\"My Next Thirty Years\",\"3:37\",\"2000-10-21\",73,62,56,52,46,40,36,31,27,27,28,40,33,33,39,40,48,53,58,62,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"McGraw, Tim\",\"Some Things Never Ch...\",\"3:56\",\"2000-05-13\",76,66,66,65,63,60,60,58,58,58,58,59,70,93,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"McKnight, Brian\",\"Stay Or Let It Go\",\"4:32\",\"2000-02-26\",95,92,82,78,76,88,100,93,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Messina, Jo Dee\",\"Because You Love Me\",\"3:50\",\"2000-01-29\",83,78,71,71,66,55,53,57,61,61,61,72,93,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Messina, Jo Dee\",\"That's The Way\",\"3:17\",\"2000-06-24\",78,67,63,54,50,44,38,30,27,25,31,28,30,28,32,35,48,46,51,59,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Metallica\",\"I Disappear\",\"4:26\",\"2000-05-13\",86,84,88,81,81,76,81,81,78,84,83,82,87,88,91,94,98,95,89,95,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Metallica\",\"No Leaf Clover (Live...\",\"5:43\",\"2000-02-12\",86,81,78,76,74,80,86,93,95,95,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Montgomery Gentry\",\"Daddy Won't Sell The...\",\"4:18\",\"2000-03-04\",87,83,81,79,81,96,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Montgomery, John Michael\",\"The Little Girl\",\"3:52\",\"2000-09-09\",81,67,64,56,45,41,41,35,35,38,37,42,45,50,57,63,62,83,74,74,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Moore, Chante\",\"Straight Up\",\"3:40\",\"2000-10-28\",98,98,97,90,85,83,83,97,98,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Moore, Mandy\",\"I Wanna Be With You\",\"4:12\",\"2000-06-17\",69,63,54,50,45,42,31,28,24,34,42,53,65,66,77,94,99,NA,NA,NA,NA,93,91,91,90,89,86,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Mumba, Samantha\",\"Gotta Tell You\",\"3:19\",\"2000-09-09\",85,72,65,49,39,25,20,10,9,8,6,5,7,4,6,7,13,17,17,23,29,36,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Musiq\",\"Just Friends\",\"4:02\",\"2000-10-14\",89,83,65,55,54,54,52,44,41,34,32,31,35,34,41,41,48,54,58,68,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Mya\",\"Case Of The Ex (What...\",\"3:50\",\"2000-08-19\",72,57,52,47,42,31,24,18,17,17,17,10,9,9,7,2,2,2,3,4,4,4,4,8,11,15,19,24,23,35,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Mya\",\"The Best Of Me\",\"4:12\",\"2000-04-15\",85,70,65,62,55,50,50,56,61,61,72,84,81,86,86,94,97,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Mystikal\",\"Shake Ya Ass\",\"4:46\",\"2000-08-12\",97,90,65,41,34,25,22,15,15,14,14,13,13,13,17,19,24,30,42,58,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"N'Sync\",\"Bye Bye Bye\",\"3:15\",\"2000-01-29\",42,20,19,14,13,7,6,5,5,5,5,4,4,6,6,7,9,12,18,20,27,34,40,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"N'Sync\",\"It's Gonna Be Me\",\"3:10\",\"2000-05-06\",82,70,51,39,26,19,15,9,7,7,5,4,1,1,3,4,6,10,13,15,18,23,28,38,48,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"N'Sync\",\"This I Promise You\",\"4:23\",\"2000-09-30\",68,31,19,15,11,6,7,7,6,5,6,7,10,12,11,9,11,12,20,22,26,30,30,39,41,49,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Nas\",\"You Owe Me\",\"3:51\",\"2000-03-25\",74,72,68,59,59,59,67,67,63,69,75,82,79,88,95,96,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Nelly\",\"(Hot S**t) Country G...\",\"4:17\",\"2000-04-29\",100,99,96,76,55,37,24,24,30,36,37,30,23,21,17,17,15,11,11,10,7,7,8,10,11,12,12,17,19,23,33,37,36,49,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Next\",\"Wifey\",\"4:03\",\"2000-05-27\",85,61,46,40,36,31,25,22,25,24,21,20,19,19,8,7,10,12,21,25,35,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Nine Days\",\"Absolutely (Story Of...\",\"3:09\",\"2000-05-06\",85,71,59,52,39,34,26,20,17,13,11,6,6,8,8,7,8,9,11,12,14,18,26,30,36,41,48,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Nine Days\",\"If I Am\",\"4:18\",\"2000-12-02\",68,68,81,94,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"No Doubt\",\"Simple Kind Of Life\",\"4:11\",\"2000-07-01\",50,40,39,38,38,48,52,55,80,85,88,100,98,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Nu Flavor\",\"3 Little Words\",\"3:54\",\"2000-06-03\",97,97,89,89,94,90,99,97,98,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Offspring, The\",\"Original Prankster\",\"3:42\",\"2000-11-25\",74,71,70,70,77,78,91,89,92,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Paisley, Brad\",\"Me Neither\",\"3:19\",\"2000-05-13\",87,85,90,92,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Paisley, Brad\",\"We Danced\",\"3:45\",\"2000-10-14\",71,68,52,52,45,42,39,34,34,29,36,42,55,53,57,64,72,84,83,86,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Papa Roach\",\"Last Resort\",\"3:19\",\"2000-07-29\",75,71,69,69,66,64,61,61,66,64,63,60,65,66,62,66,64,64,57,72,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Pearl Jam\",\"Nothing As It Seems\",\"5:20\",\"2000-05-13\",49,70,84,89,93,91,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Pink\",\"Most Girls\",\"4:06\",\"2000-08-12\",85,70,52,36,27,21,15,13,12,8,5,5,5,6,5,4,6,8,11,14,14,16,18,21,26,39,46,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Pink\",\"There U Go\",\"3:23\",\"2000-03-04\",25,15,12,11,11,7,7,12,14,15,15,17,19,16,15,14,12,10,10,10,8,9,12,16,20,22,33,39,39,41,46,44,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Price, Kelly\",\"As We Lay\",\"6:20\",\"2000-07-15\",82,69,69,64,71,79,82,89,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Price, Kelly\",\"Love Sets You Free\",\"3:46\",\"2000-05-13\",92,91,98,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Price, Kelly\",\"You Should've Told M...\",\"3:12\",\"2000-09-23\",91,91,91,87,86,79,79,75,70,68,64,64,68,70,74,90,86,85,93,92,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Profyle\",\"Liar\",\"3:57\",\"2000-09-16\",52,32,25,17,16,16,14,19,24,33,35,43,54,61,69,75,86,81,94,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Puff Daddy\",\"Best Friend\",\"5:33\",\"2000-02-12\",65,59,62,79,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Q-Tip\",\"Breathe And Stop\",\"4:06\",\"2000-01-22\",71,71,81,82,96,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"R.E.M.\",\"The Great Beyond\",\"4:10\",\"1999-12-25\",79,79,70,62,60,57,61,66,60,59,60,63,79,91,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Rascal Flatts\",\"Prayin' For Daylight\",\"3:36\",\"2000-05-06\",87,78,72,68,66,64,58,58,56,54,49,46,46,41,38,38,47,65,72,77,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Raye, Collin\",\"Couldn't Last A Mome...\",\"3:40\",\"2000-03-18\",91,85,75,73,67,63,63,63,56,49,48,46,44,44,43,45,53,66,73,89,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Red Hot Chili Peppers\",\"Californication\",\"5:21\",\"2000-07-29\",72,72,72,77,79,77,75,84,85,79,74,69,74,75,77,71,78,89,97,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Red Hot Chili Peppers\",\"Otherside\",\"4:13\",\"2000-02-12\",80,72,65,52,51,49,40,37,32,29,29,29,29,24,18,14,15,16,19,22,29,45,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Rimes, LeAnn\",\"Big Deal\",\"3:03\",\"1999-10-16\",71,52,51,51,51,48,41,37,29,26,26,23,30,28,27,25,31,43,56,70,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Rimes, LeAnn\",\"Can't Fight The Moon...\",\"3:33\",\"2000-09-09\",82,71,79,83,96,99,78,78,83,79,77,76,79,81,88,85,86,79,87,93,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Rimes, LeAnn\",\"I Need You\",\"3:42\",\"2000-05-27\",77,68,67,63,59,59,59,53,51,50,13,11,11,15,12,12,13,16,19,21,21,24,25,30,41,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Rogers, Kenny\",\"Buy Me A Rose\",\"3:46\",\"2000-03-11\",79,72,65,65,54,46,46,43,40,40,46,54,58,66,73,82,86,84,88,91,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Ruff Endz\",\"No More\",\"3:56\",\"2000-07-01\",76,38,19,17,12,15,12,10,7,5,8,8,10,12,14,15,19,23,21,18,19,22,23,24,33,38,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Sammie\",\"I Like It\",\"4:09\",\"2000-01-29\",85,68,58,44,40,33,30,29,37,29,29,24,36,46,52,61,83,93,91,89,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Santana\",\"Maria, Maria\",\"4:18\",\"2000-02-12\",15,8,6,5,2,3,2,2,1,1,1,1,1,1,1,1,1,1,8,15,19,21,26,36,48,47,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Savage Garden\",\"Crash And Burn\",\"4:41\",\"2000-04-08\",75,58,51,36,33,31,26,24,24,29,34,39,46,47,48,49,58,63,73,87,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Savage Garden\",\"I Knew I Loved You\",\"4:07\",\"1999-10-23\",71,48,43,31,20,13,7,6,4,4,4,6,4,2,1,1,1,2,1,2,4,8,8,12,14,17,21,24,30,34,37,46,47,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"SheDaisy\",\"Deck The Halls\",\"3:46\",\"1999-12-25\",97,61,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"SheDaisy\",\"I Will.. But\",\"3:40\",\"2000-07-15\",78,74,70,61,59,52,48,47,45,43,44,43,52,56,70,80,86,81,85,87,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"SheDaisy\",\"This Woman Needs\",\"3:20\",\"2000-02-05\",82,70,70,67,57,57,61,68,82,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Sheist, Shade\",\"Where I Wanna Be\",\"4:16\",\"2000-11-11\",96,95,99,99,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Shyne\",\"Bad Boyz\",\"4:22\",\"2000-09-09\",94,87,90,90,82,67,61,57,71,78,74,81,88,96,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Simpson, Jessica\",\"I Think I'm In Love ...\",\"3:32\",\"2000-07-01\",63,52,44,29,25,23,21,21,21,27,38,38,57,74,89,96,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Simpson, Jessica\",\"Where You Are\",\"3:51\",\"2000-04-01\",73,66,62,62,76,93,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Sisqo\",\"Got To Get It\",\"3:52\",\"1999-11-20\",92,76,73,58,48,48,48,48,49,40,43,51,50,57,63,64,68,82,88,95,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Sisqo\",\"Incomplete\",\"3:52\",\"2000-06-24\",77,66,61,61,61,55,2,1,1,2,2,4,5,5,7,8,10,10,9,14,17,20,25,31,32,46,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Sisqo\",\"Thong Song\",\"4:05\",\"2000-01-29\",74,63,35,26,26,23,20,16,13,10,6,6,5,4,4,4,3,3,4,3,7,8,13,17,24,31,43,46,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Sister Hazel\",\"Change Your Mind\",\"4:02\",\"2000-07-15\",75,67,66,59,63,71,78,81,78,78,84,87,94,91,93,95,100,98,96,98,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Smash Mouth\",\"Then The Morning Com...\",\"3:04\",\"1999-10-30\",83,59,56,46,27,23,19,16,14,14,16,15,12,11,13,17,20,23,24,25,27,31,33,35,41,48,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Smith, Will\",\"Freakin' It\",\"3:58\",\"2000-02-12\",99,99,99,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Son By Four\",\"A Puro Dolor (Purest...\",\"3:30\",\"2000-04-08\",80,80,80,79,72,73,65,64,60,60,48,48,48,43,35,32,30,32,37,26,31,28,30,32,39,35,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Sonique\",\"It Feels So Good\",\"3:48\",\"2000-01-22\",67,52,30,23,19,17,16,16,14,12,13,13,11,8,10,10,11,14,17,19,21,31,38,49,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"SoulDecision\",\"Faded\",\"3:25\",\"2000-07-08\",94,90,81,64,56,43,35,27,25,22,22,27,27,27,31,31,30,34,31,34,34,38,45,50,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Spears, Britney\",\"From The Bottom Of M...\",\"4:30\",\"2000-01-29\",76,59,52,52,14,14,17,24,33,35,41,45,54,64,64,81,97,92,86,90,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Spears, Britney\",\"Lucky\",\"3:23\",\"2000-08-12\",61,41,28,26,23,29,30,40,66,86,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Spears, Britney\",\"Oops!.. I Did It Aga...\",\"3:30\",\"2000-04-22\",67,38,26,19,15,13,12,9,9,10,14,15,17,24,35,49,77,85,90,96,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Spencer, Tracie\",\"Still In My Heart\",\"4:11\",\"2000-03-04\",95,88,98,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Splender\",\"I Think God Can Expl...\",\"3:55\",\"2000-06-10\",71,66,62,62,62,64,65,71,81,89,95,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Sting\",\"Desert Rose\",\"3:52\",\"2000-05-13\",98,88,72,59,55,52,45,35,24,21,19,19,19,19,18,17,19,19,24,26,30,32,42,45,42,49,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Stone Temple Pilots\",\"Sour Girl\",\"4:16\",\"2000-07-08\",79,79,79,78,78,87,89,88,95,93,91,94,98,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Stone, Angie\",\"No More Rain (In Thi...\",\"4:42\",\"1999-12-25\",86,86,74,66,56,60,56,60,67,69,63,73,71,81,89,98,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Strait, George\",\"Go On\",\"3:48\",\"2000-08-26\",71,67,63,56,53,48,46,46,44,40,44,46,49,56,56,71,78,88,95,NA,97,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Strait, George\",\"The Best Day\",\"3:24\",\"2000-01-29\",73,64,54,45,44,44,44,41,39,34,33,33,31,33,36,39,43,49,53,62,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Sugar Ray\",\"Falls Apart\",\"4:15\",\"2000-01-15\",70,64,54,40,34,29,29,32,32,37,47,49,52,60,76,80,89,97,98,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"TLC\",\"Dear Lie\",\"4:36\",\"2000-02-12\",63,55,52,51,56,74,92,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Tamar\",\"If You Don't Wanna L...\",\"4:02\",\"2000-03-25\",98,98,92,89,92,93,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Tamia\",\"Can't Go For That\",\"3:38\",\"2000-09-16\",90,86,84,88,97,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Third Eye Blind\",\"Deep Inside Of You\",\"4:10\",\"2000-09-02\",80,73,70,70,70,69,72,79,90,97,95,93,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Third Eye Blind\",\"Never Let You Go\",\"3:57\",\"2000-01-22\",65,32,25,24,23,22,22,21,19,16,14,16,16,17,18,21,22,25,27,33,45,46,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Thomas, Carl\",\"Emotional\",\"4:31\",\"2000-11-25\",77,63,61,58,54,47,53,52,49,52,60,62,69,69,63,76,87,82,91,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Thomas, Carl\",\"I Wish\",\"3:50\",\"2000-03-25\",75,64,48,39,32,28,24,20,22,21,22,26,23,24,27,28,42,44,52,67,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Thomas, Carl\",\"Summer Rain\",\"4:57\",\"2000-09-23\",82,82,86,80,82,83,84,82,88,94,95,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Tippin, Aaron\",\"Kiss This\",\"2:53\",\"2000-08-26\",74,72,66,53,52,47,47,45,42,46,51,60,68,69,78,94,87,92,97,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Train\",\"Meet Virginia\",\"3:55\",\"1999-10-09\",76,67,59,54,48,45,40,32,26,24,22,21,21,24,21,20,21,24,28,30,32,37,37,42,46,50,50,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Trick Daddy\",\"Shut Up\",\"4:17\",\"2000-05-20\",99,95,87,87,83,83,89,87,92,92,97,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Trina\",\"Pull Over\",\"2:58\",\"2000-09-09\",97,93,96,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Tritt, Travis\",\"Best Of Intentions\",\"4:15\",\"2000-08-19\",97,86,79,70,63,56,50,48,51,38,33,31,28,28,28,27,29,31,37,45,49,48,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Tuesday\",\"I Know\",\"4:06\",\"2000-12-30\",98,98,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Urban, Keith\",\"Your Everything\",\"4:10\",\"2000-07-15\",81,80,73,73,67,64,60,59,53,51,55,66,84,90,96,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Usher\",\"Pop Ya Collar\",\"3:36\",\"2000-11-04\",68,64,60,60,62,79,93,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Vassar, Phil\",\"Carlene\",\"4:07\",\"2000-03-04\",75,67,64,64,57,53,47,45,45,50,52,56,59,78,83,84,91,96,93,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Vassar, Phil\",\"Just Another Day In ...\",\"3:54\",\"2000-09-30\",81,81,76,67,53,46,43,38,36,35,43,41,46,51,62,58,63,70,74,79,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Vertical Horizon\",\"Everything You Want\",\"4:01\",\"2000-01-22\",70,61,53,46,40,33,31,26,22,19,17,15,13,9,9,8,8,6,7,7,8,3,3,6,6,1,2,3,4,7,9,10,18,20,27,29,36,40,50,47,50,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Vertical Horizon\",\"You're A God\",\"3:45\",\"2000-08-26\",64,55,43,41,37,31,30,29,28,26,23,23,25,32,32,37,37,41,46,48,49,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Vitamin C\",\"Graduation (Friends ...\",\"4:23\",\"2000-04-15\",81,64,54,54,46,40,40,40,38,42,57,87,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Vitamin C\",\"The Itch\",\"3:30\",\"2000-12-02\",86,48,45,52,57,58,76,95,100,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Walker, Clay\",\"Live, Laugh, Love\",\"4:06\",\"1999-12-04\",95,95,94,94,94,95,82,74,79,92,98,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Walker, Clay\",\"The Chain Of Love\",\"5:03\",\"2000-04-15\",73,65,57,57,51,48,44,43,40,45,44,53,57,68,71,81,90,94,94,95,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Wallflowers, The\",\"Sleepwalker\",\"3:29\",\"2000-10-28\",73,73,74,80,90,96,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Westlife\",\"Swear It Again\",\"4:07\",\"2000-04-01\",96,82,66,55,55,46,44,44,37,35,32,25,21,20,20,25,30,33,45,56,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Williams, Robbie\",\"Angels\",\"3:56\",\"1999-11-20\",85,77,69,69,62,56,56,64,54,53,72,83,81,88,96,93,91,89,95,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Wills, Mark\",\"Back At One\",\"4:00\",\"2000-01-15\",89,55,51,43,37,37,36,39,42,46,45,52,64,74,84,90,94,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Worley, Darryl\",\"When You Need My Lov...\",\"3:35\",\"2000-06-17\",98,88,93,92,85,85,84,80,80,80,80,75,78,86,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Wright, Chely\",\"It Was\",\"3:51\",\"2000-03-04\",86,78,75,72,71,69,64,75,85,98,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Yankee Grey\",\"Another Nine Minutes\",\"3:10\",\"2000-04-29\",86,83,77,74,83,79,88,95,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Yearwood, Trisha\",\"Real Live Woman\",\"3:55\",\"2000-04-01\",85,83,83,82,81,91,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Ying Yang Twins\",\"Whistle While You Tw...\",\"4:19\",\"2000-03-18\",95,94,91,85,84,78,74,78,85,89,97,96,99,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"Zombie Nation\",\"Kernkraft 400\",\"3:30\",\"2000-09-02\",99,99,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n2000,\"matchbox twenty\",\"Bent\",\"4:12\",\"2000-04-29\",60,37,29,24,22,21,18,16,13,12,8,6,1,2,3,2,2,3,4,5,4,4,6,9,12,13,19,20,20,24,29,28,27,30,33,37,38,38,48,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n"
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    "path": "data/concat_1.csv",
    "content": "A,B,C,D\na0,b0,c0,d0\na1,b1,c1,d1\na2,b2,c2,d2\na3,b3,c3,d3\n"
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  {
    "path": "data/concat_2.csv",
    "content": "A,B,C,D\na4,b4,c4,d4\na5,b5,c5,d5\na6,b6,c6,d6\na7,b7,c7,d7\n"
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    "path": "data/concat_3.csv",
    "content": "A,B,C,D\na8,b8,c8,d8\na9,b9,c9,d9\na10,b10,c10,d10\na11,b11,c11,d11\n"
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    "path": "data/country_timeseries.csv",
    "content": "Date,Day,Cases_Guinea,Cases_Liberia,Cases_SierraLeone,Cases_Nigeria,Cases_Senegal,Cases_UnitedStates,Cases_Spain,Cases_Mali,Deaths_Guinea,Deaths_Liberia,Deaths_SierraLeone,Deaths_Nigeria,Deaths_Senegal,Deaths_UnitedStates,Deaths_Spain,Deaths_Mali\n1/5/2015,289,2776,,10030,,,,,,1786,,2977,,,,,\n1/4/2015,288,2775,,9780,,,,,,1781,,2943,,,,,\n1/3/2015,287,2769,8166,9722,,,,,,1767,3496,2915,,,,,\n1/2/2015,286,,8157,,,,,,,,3496,,,,,,\n12/31/2014,284,2730,8115,9633,,,,,,1739,3471,2827,,,,,\n12/28/2014,281,2706,8018,9446,,,,,,1708,3423,2758,,,,,\n12/27/2014,280,2695,,9409,,,,,,1697,,2732,,,,,\n12/24/2014,277,2630,7977,9203,,,,,,,3413,2655,,,,,\n12/21/2014,273,2597,,9004,,,,,,1607,,2582,,,,,\n12/20/2014,272,2571,7862,8939,,,,,,1586,3384,2556,,,,,\n12/18/2014,271,,7830,,,,,,,,3376,,,,,,\n12/14/2014,267,2416,,8356,,,,,,1525,,2085,,,,,\n12/9/2014,262,,7797,,,,,,,,3290,,,,,,\n12/7/2014,260,2292,,7897,20,1,4,1,7,1428,,1768,8,0,1,0,6\n12/3/2014,256,,7719,,,,,,,,3177,,,,,,\n11/30/2014,253,2164,,7312,20,1,4,1,7,1327,,1583,8,0,1,0,6\n11/28/2014,251,,7635,,,,,,,,3145,,,,,,\n11/23/2014,246,2134,,6599,20,1,4,1,7,1260,,1398,8,0,1,0,6\n11/22/2014,245,,7168,,,,,,,,3016,,,,,,\n11/18/2014,241,2047,7082,6190,20,1,4,1,6,1214,2963,1267,8,0,1,0,6\n11/16/2014,239,1971,,6073,20,1,4,1,5,1192,,1250,8,0,1,0,5\n11/15/2014,238,,7069,,,,,,,,2964,,,,,,\n11/11/2014,234,1919,,5586,20,1,4,1,4,1166,,1187,8,0,1,0,3\n11/10/2014,233,,6878,,,,,,,,2812,,,,,,\n11/9/2014,232,1878,,5368,20,1,4,1,1,1142,,1169,8,0,1,0,1\n11/8/2014,231,,6822,,,,,,,,2836,,,,,,\n11/4/2014,227,,6619,4862,20,1,4,1,1,,2766,1130,8,0,1,0,1\n11/3/2014,226,1760,,,,,,,,1054,,,,,,,\n11/2/2014,225,1731,,4759,20,1,4,1,1,1041,,1070,8,0,1,0,1\n10/31/2014,222,,6525,,,,,,,,2697,,,,,,\n10/29/2014,220,1667,,5338,20,1,4,1,1,1018,,1510,8,0,1,0,1\n10/27/2014,218,1906,,5235,20,1,4,1,1,997,,1500,8,0,1,0,1\n10/25/2014,216,,6535,,,,,,,,2413,,,,,,\n10/22/2014,214,,,3896,,,4,1,1,,,1281,,,1,0,1\n10/21/2014,213,1553,,,,,,,,926,,,,,,,\n10/19/2014,211,1540,,3706,20,1,3,1,,904,,1259,8,0,1,0,\n10/18/2014,210,,4665,,,,,,,,2705,,,,,,\n10/14/2014,206,1519,,3410,20,1,3,1,,862,,1200,8,0,0,1,\n10/13/2014,205,,4262,,,,,,,,2484,,,,,,\n10/12/2014,204,1472,,3252,20,1,2,1,,843,,1183,8,0,1,1,\n10/11/2014,203,,4249,,,,,,,,2458,,,,,,\n10/8/2014,200,,,2950,20,1,1,1,,,,930,8,0,1,1,\n10/7/2014,199,1350,4076,,,,,,,778,2316,,,,,,\n10/5/2014,197,1298,,2789,20,1,1,,,768,,879,8,0,0,,\n10/4/2014,196,,3924,,,,,,,,2210,,,,,,\n10/1/2014,193,1199,3834,2437,20,1,1,,,739,2069,623,8,0,0,,\n9/28/2014,190,1157,3696,2304,20,1,,,,710,1998,622,8,0,,,\n9/23/2014,185,1074,3458,2021,20,1,,,,648,1830,605,8,0,,,\n9/21/2014,183,1022,3280,1940,20,1,,,,635,1677,597,8,0,,,\n9/20/2014,182,,,1813,,,,,,,,593,,,,,\n9/19/2014,181,1008,,,,,,,,632,,,,,,,\n9/17/2014,179,,3022,,,,,,,,1578,,,,,,\n9/14/2014,176,942,2710,1673,,,,,,601,1459,562,,,,,\n9/13/2014,175,936,,1620,21,1,,,,595,1296,562,8,0,,,\n9/10/2014,172,899,,1478,21,1,,,,568,,536,8,,,,\n9/9/2014,171,,2407,,,,,,,,,,,,,,\n9/7/2014,169,861,2081,1424,21,3,,,,557,1137,524,8,0,,,\n9/5/2014,167,812,1871,1261,22,1,,,,517,1089,491,8,,,,\n8/31/2014,162,771,1698,1216,21,1,,,,494,871,476,7,,,,\n8/26/2014,157,648,1378,1026,17,,,,,430,694,422,6,,,,\n8/20/2014,151,607,1082,910,16,,,,,406,624,392,5,,,,\n8/18/2014,149,579,972,907,15,,,,,396,576,374,4,,,,\n8/16/2014,147,543,834,848,15,,,,,394,466,365,4,,,,\n8/13/2014,144,519,786,810,12,,,,,380,413,348,4,,,,\n8/11/2014,142,510,670,783,12,,,,,377,355,334,3,,,,\n8/9/2014,140,506,599,730,13,,,,,373,323,315,2,,,,\n8/6/2014,137,495,554,717,13,,,,,367,294,298,2,,,,\n8/4/2014,135,495,516,691,9,,,,,363,282,286,1,,,,\n8/1/2014,132,485,468,646,4,,,,,358,255,273,1,,,,\n7/30/2014,129,472,391,574,3,,,,,346,227,252,1,,,,\n7/27/2014,126,460,329,533,1,,,,,339,156,233,1,,,,\n7/23/2014,123,427,249,525,0,,,,,319,129,224,0,,,,\n7/20/2014,120,415,224,454,,,,,,314,127,219,,,,,\n7/17/2014,117,410,196,442,,,,,,310,116,206,,,,,\n7/14/2014,114,411,174,397,,,,,,310,106,197,,,,,\n7/12/2014,112,406,172,386,,,,,,304,105,194,,,,,\n7/8/2014,108,409,142,337,,,,,,309,88,142,,,,,\n7/6/2014,106,408,131,305,,,,,,307,84,127,,,,,\n7/2/2014,102,412,115,252,,,,,,305,75,101,,,,,\n6/30/2014,100,413,107,239,,,,,,303,65,99,,,,,\n6/22/2014,92,,51,,,,,,,,34,,,,,,\n6/20/2014,90,390,,158,,,,,,270,,34,,,,,\n6/19/2014,89,,41,,,,,,,,25,,,,,,\n6/18/2014,88,390,,136,,,,,,267,,28,,,,,\n6/17/2014,87,,,97,,,,,,,,49,,,,,\n6/16/2014,86,398,33,,,,,,,264,24,,,,,,\n6/10/2014,80,351,13,89,,,,,,226,24,7,,,,,\n6/5/2014,75,,13,81,,,,,,,,6,,,,,\n6/3/2014,73,344,13,,,,,,,215,12,6,,,,,\n6/1/2014,71,328,13,79,,,,,,208,12,6,,,,,\n5/28/2014,67,291,13,50,,,,,,193,12,6,,,,,\n5/27/2014,66,281,12,16,,,,,,186,11,5,,,,,\n5/23/2014,62,258,12,0,,,,,,174,11,0,,,,,\n5/12/2014,51,248,12,0,,,,,,171,11,0,,,,,\n5/10/2014,49,233,12,0,,,,,,157,11,0,,,,,\n5/7/2014,46,236,13,0,,,,,,158,11,0,,,,,\n5/5/2014,44,235,13,0,,,,,,157,11,0,,,,,\n5/3/2014,42,231,13,0,,,,,,155,11,0,,,,,\n5/1/2014,40,226,13,0,,,,,,149,11,0,,,,,\n4/26/2014,35,224,,0,,,,,,143,,0,,,,,\n4/24/2014,33,,35,0,,,,,,,,0,,,,,\n4/23/2014,32,218,,0,,,,,,141,,0,,,,,\n4/22/2014,31,,,0,,,,,,,,0,,,,,\n4/21/2014,30,,34,,,,,,,,11,,,,,,\n4/20/2014,29,208,,,,,,,,136,6,,,,,,\n4/17/2014,26,203,27,,,,,,,129,,,,,,,\n4/16/2014,25,197,27,,,,,,,122,13,,,,,,\n4/15/2014,24,,,12,,,,,,,,,,,,,\n4/14/2014,23,168,,,,,,,,108,,,,,,,\n4/11/2014,20,159,26,2,,,,,,106,13,2,,,,,\n4/9/2014,18,158,25,2,,,,,,101,12,2,,,,,\n4/7/2014,16,151,21,2,,,,,,95,10,2,,,,,\n4/4/2014,13,143,18,2,,,,,,86,7,2,,,,,\n4/1/2014,10,127,8,2,,,,,,83,5,2,,,,,\n3/31/2014,9,122,8,2,,,,,,80,4,2,,,,,\n3/29/2014,7,112,7,,,,,,,70,2,,,,,,\n3/28/2014,6,112,3,2,,,,,,70,3,2,,,,,\n3/27/2014,5,103,8,6,,,,,,66,6,5,,,,,\n3/26/2014,4,86,,,,,,,,62,,,,,,,\n3/25/2014,3,86,,,,,,,,60,,,,,,,\n3/24/2014,2,86,,,,,,,,59,,,,,,,\n3/22/2014,0,49,,,,,,,,29,,,,,,,"
  },
  {
    "path": "data/gapminder.tsv",
    "content": "country\tcontinent\tyear\tlifeExp\tpop\tgdpPercap\nAfghanistan\tAsia\t1952\t28.801\t8425333\t779.4453145\nAfghanistan\tAsia\t1957\t30.332\t9240934\t820.8530296\nAfghanistan\tAsia\t1962\t31.997\t10267083\t853.10071\nAfghanistan\tAsia\t1967\t34.02\t11537966\t836.1971382\nAfghanistan\tAsia\t1972\t36.088\t13079460\t739.9811058\nAfghanistan\tAsia\t1977\t38.438\t14880372\t786.11336\nAfghanistan\tAsia\t1982\t39.854\t12881816\t978.0114388\nAfghanistan\tAsia\t1987\t40.822\t13867957\t852.3959448\nAfghanistan\tAsia\t1992\t41.674\t16317921\t649.3413952\nAfghanistan\tAsia\t1997\t41.763\t22227415\t635.341351\nAfghanistan\tAsia\t2002\t42.129\t25268405\t726.7340548\nAfghanistan\tAsia\t2007\t43.828\t31889923\t974.5803384\nAlbania\tEurope\t1952\t55.23\t1282697\t1601.056136\nAlbania\tEurope\t1957\t59.28\t1476505\t1942.284244\nAlbania\tEurope\t1962\t64.82\t1728137\t2312.888958\nAlbania\tEurope\t1967\t66.22\t1984060\t2760.196931\nAlbania\tEurope\t1972\t67.69\t2263554\t3313.422188\nAlbania\tEurope\t1977\t68.93\t2509048\t3533.00391\nAlbania\tEurope\t1982\t70.42\t2780097\t3630.880722\nAlbania\tEurope\t1987\t72\t3075321\t3738.932735\nAlbania\tEurope\t1992\t71.581\t3326498\t2497.437901\nAlbania\tEurope\t1997\t72.95\t3428038\t3193.054604\nAlbania\tEurope\t2002\t75.651\t3508512\t4604.211737\nAlbania\tEurope\t2007\t76.423\t3600523\t5937.029526\nAlgeria\tAfrica\t1952\t43.077\t9279525\t2449.008185\nAlgeria\tAfrica\t1957\t45.685\t10270856\t3013.976023\nAlgeria\tAfrica\t1962\t48.303\t11000948\t2550.81688\nAlgeria\tAfrica\t1967\t51.407\t12760499\t3246.991771\nAlgeria\tAfrica\t1972\t54.518\t14760787\t4182.663766\nAlgeria\tAfrica\t1977\t58.014\t17152804\t4910.416756\nAlgeria\tAfrica\t1982\t61.368\t20033753\t5745.160213\nAlgeria\tAfrica\t1987\t65.799\t23254956\t5681.358539\nAlgeria\tAfrica\t1992\t67.744\t26298373\t5023.216647\nAlgeria\tAfrica\t1997\t69.152\t29072015\t4797.295051\nAlgeria\tAfrica\t2002\t70.994\t31287142\t5288.040382\nAlgeria\tAfrica\t2007\t72.301\t33333216\t6223.367465\nAngola\tAfrica\t1952\t30.015\t4232095\t3520.610273\nAngola\tAfrica\t1957\t31.999\t4561361\t3827.940465\nAngola\tAfrica\t1962\t34\t4826015\t4269.276742\nAngola\tAfrica\t1967\t35.985\t5247469\t5522.776375\nAngola\tAfrica\t1972\t37.928\t5894858\t5473.288005\nAngola\tAfrica\t1977\t39.483\t6162675\t3008.647355\nAngola\tAfrica\t1982\t39.942\t7016384\t2756.953672\nAngola\tAfrica\t1987\t39.906\t7874230\t2430.208311\nAngola\tAfrica\t1992\t40.647\t8735988\t2627.845685\nAngola\tAfrica\t1997\t40.963\t9875024\t2277.140884\nAngola\tAfrica\t2002\t41.003\t10866106\t2773.287312\nAngola\tAfrica\t2007\t42.731\t12420476\t4797.231267\nArgentina\tAmericas\t1952\t62.485\t17876956\t5911.315053\nArgentina\tAmericas\t1957\t64.399\t19610538\t6856.856212\nArgentina\tAmericas\t1962\t65.142\t21283783\t7133.166023\nArgentina\tAmericas\t1967\t65.634\t22934225\t8052.953021\nArgentina\tAmericas\t1972\t67.065\t24779799\t9443.038526\nArgentina\tAmericas\t1977\t68.481\t26983828\t10079.02674\nArgentina\tAmericas\t1982\t69.942\t29341374\t8997.897412\nArgentina\tAmericas\t1987\t70.774\t31620918\t9139.671389\nArgentina\tAmericas\t1992\t71.868\t33958947\t9308.41871\nArgentina\tAmericas\t1997\t73.275\t36203463\t10967.28195\nArgentina\tAmericas\t2002\t74.34\t38331121\t8797.640716\nArgentina\tAmericas\t2007\t75.32\t40301927\t12779.37964\nAustralia\tOceania\t1952\t69.12\t8691212\t10039.59564\nAustralia\tOceania\t1957\t70.33\t9712569\t10949.64959\nAustralia\tOceania\t1962\t70.93\t10794968\t12217.22686\nAustralia\tOceania\t1967\t71.1\t11872264\t14526.12465\nAustralia\tOceania\t1972\t71.93\t13177000\t16788.62948\nAustralia\tOceania\t1977\t73.49\t14074100\t18334.19751\nAustralia\tOceania\t1982\t74.74\t15184200\t19477.00928\nAustralia\tOceania\t1987\t76.32\t16257249\t21888.88903\nAustralia\tOceania\t1992\t77.56\t17481977\t23424.76683\nAustralia\tOceania\t1997\t78.83\t18565243\t26997.93657\nAustralia\tOceania\t2002\t80.37\t19546792\t30687.75473\nAustralia\tOceania\t2007\t81.235\t20434176\t34435.36744\nAustria\tEurope\t1952\t66.8\t6927772\t6137.076492\nAustria\tEurope\t1957\t67.48\t6965860\t8842.59803\nAustria\tEurope\t1962\t69.54\t7129864\t10750.72111\nAustria\tEurope\t1967\t70.14\t7376998\t12834.6024\nAustria\tEurope\t1972\t70.63\t7544201\t16661.6256\nAustria\tEurope\t1977\t72.17\t7568430\t19749.4223\nAustria\tEurope\t1982\t73.18\t7574613\t21597.08362\nAustria\tEurope\t1987\t74.94\t7578903\t23687.82607\nAustria\tEurope\t1992\t76.04\t7914969\t27042.01868\nAustria\tEurope\t1997\t77.51\t8069876\t29095.92066\nAustria\tEurope\t2002\t78.98\t8148312\t32417.60769\nAustria\tEurope\t2007\t79.829\t8199783\t36126.4927\nBahrain\tAsia\t1952\t50.939\t120447\t9867.084765\nBahrain\tAsia\t1957\t53.832\t138655\t11635.79945\nBahrain\tAsia\t1962\t56.923\t171863\t12753.27514\nBahrain\tAsia\t1967\t59.923\t202182\t14804.6727\nBahrain\tAsia\t1972\t63.3\t230800\t18268.65839\nBahrain\tAsia\t1977\t65.593\t297410\t19340.10196\nBahrain\tAsia\t1982\t69.052\t377967\t19211.14731\nBahrain\tAsia\t1987\t70.75\t454612\t18524.02406\nBahrain\tAsia\t1992\t72.601\t529491\t19035.57917\nBahrain\tAsia\t1997\t73.925\t598561\t20292.01679\nBahrain\tAsia\t2002\t74.795\t656397\t23403.55927\nBahrain\tAsia\t2007\t75.635\t708573\t29796.04834\nBangladesh\tAsia\t1952\t37.484\t46886859\t684.2441716\nBangladesh\tAsia\t1957\t39.348\t51365468\t661.6374577\nBangladesh\tAsia\t1962\t41.216\t56839289\t686.3415538\nBangladesh\tAsia\t1967\t43.453\t62821884\t721.1860862\nBangladesh\tAsia\t1972\t45.252\t70759295\t630.2336265\nBangladesh\tAsia\t1977\t46.923\t80428306\t659.8772322\nBangladesh\tAsia\t1982\t50.009\t93074406\t676.9818656\nBangladesh\tAsia\t1987\t52.819\t103764241\t751.9794035\nBangladesh\tAsia\t1992\t56.018\t113704579\t837.8101643\nBangladesh\tAsia\t1997\t59.412\t123315288\t972.7700352\nBangladesh\tAsia\t2002\t62.013\t135656790\t1136.39043\nBangladesh\tAsia\t2007\t64.062\t150448339\t1391.253792\nBelgium\tEurope\t1952\t68\t8730405\t8343.105127\nBelgium\tEurope\t1957\t69.24\t8989111\t9714.960623\nBelgium\tEurope\t1962\t70.25\t9218400\t10991.20676\nBelgium\tEurope\t1967\t70.94\t9556500\t13149.04119\nBelgium\tEurope\t1972\t71.44\t9709100\t16672.14356\nBelgium\tEurope\t1977\t72.8\t9821800\t19117.97448\nBelgium\tEurope\t1982\t73.93\t9856303\t20979.84589\nBelgium\tEurope\t1987\t75.35\t9870200\t22525.56308\nBelgium\tEurope\t1992\t76.46\t10045622\t25575.57069\nBelgium\tEurope\t1997\t77.53\t10199787\t27561.19663\nBelgium\tEurope\t2002\t78.32\t10311970\t30485.88375\nBelgium\tEurope\t2007\t79.441\t10392226\t33692.60508\nBenin\tAfrica\t1952\t38.223\t1738315\t1062.7522\nBenin\tAfrica\t1957\t40.358\t1925173\t959.6010805\nBenin\tAfrica\t1962\t42.618\t2151895\t949.4990641\nBenin\tAfrica\t1967\t44.885\t2427334\t1035.831411\nBenin\tAfrica\t1972\t47.014\t2761407\t1085.796879\nBenin\tAfrica\t1977\t49.19\t3168267\t1029.161251\nBenin\tAfrica\t1982\t50.904\t3641603\t1277.897616\nBenin\tAfrica\t1987\t52.337\t4243788\t1225.85601\nBenin\tAfrica\t1992\t53.919\t4981671\t1191.207681\nBenin\tAfrica\t1997\t54.777\t6066080\t1232.975292\nBenin\tAfrica\t2002\t54.406\t7026113\t1372.877931\nBenin\tAfrica\t2007\t56.728\t8078314\t1441.284873\nBolivia\tAmericas\t1952\t40.414\t2883315\t2677.326347\nBolivia\tAmericas\t1957\t41.89\t3211738\t2127.686326\nBolivia\tAmericas\t1962\t43.428\t3593918\t2180.972546\nBolivia\tAmericas\t1967\t45.032\t4040665\t2586.886053\nBolivia\tAmericas\t1972\t46.714\t4565872\t2980.331339\nBolivia\tAmericas\t1977\t50.023\t5079716\t3548.097832\nBolivia\tAmericas\t1982\t53.859\t5642224\t3156.510452\nBolivia\tAmericas\t1987\t57.251\t6156369\t2753.69149\nBolivia\tAmericas\t1992\t59.957\t6893451\t2961.699694\nBolivia\tAmericas\t1997\t62.05\t7693188\t3326.143191\nBolivia\tAmericas\t2002\t63.883\t8445134\t3413.26269\nBolivia\tAmericas\t2007\t65.554\t9119152\t3822.137084\nBosnia and Herzegovina\tEurope\t1952\t53.82\t2791000\t973.5331948\nBosnia and Herzegovina\tEurope\t1957\t58.45\t3076000\t1353.989176\nBosnia and Herzegovina\tEurope\t1962\t61.93\t3349000\t1709.683679\nBosnia and Herzegovina\tEurope\t1967\t64.79\t3585000\t2172.352423\nBosnia and Herzegovina\tEurope\t1972\t67.45\t3819000\t2860.16975\nBosnia and Herzegovina\tEurope\t1977\t69.86\t4086000\t3528.481305\nBosnia and Herzegovina\tEurope\t1982\t70.69\t4172693\t4126.613157\nBosnia and Herzegovina\tEurope\t1987\t71.14\t4338977\t4314.114757\nBosnia and Herzegovina\tEurope\t1992\t72.178\t4256013\t2546.781445\nBosnia and Herzegovina\tEurope\t1997\t73.244\t3607000\t4766.355904\nBosnia and Herzegovina\tEurope\t2002\t74.09\t4165416\t6018.975239\nBosnia and Herzegovina\tEurope\t2007\t74.852\t4552198\t7446.298803\nBotswana\tAfrica\t1952\t47.622\t442308\t851.2411407\nBotswana\tAfrica\t1957\t49.618\t474639\t918.2325349\nBotswana\tAfrica\t1962\t51.52\t512764\t983.6539764\nBotswana\tAfrica\t1967\t53.298\t553541\t1214.709294\nBotswana\tAfrica\t1972\t56.024\t619351\t2263.611114\nBotswana\tAfrica\t1977\t59.319\t781472\t3214.857818\nBotswana\tAfrica\t1982\t61.484\t970347\t4551.14215\nBotswana\tAfrica\t1987\t63.622\t1151184\t6205.88385\nBotswana\tAfrica\t1992\t62.745\t1342614\t7954.111645\nBotswana\tAfrica\t1997\t52.556\t1536536\t8647.142313\nBotswana\tAfrica\t2002\t46.634\t1630347\t11003.60508\nBotswana\tAfrica\t2007\t50.728\t1639131\t12569.85177\nBrazil\tAmericas\t1952\t50.917\t56602560\t2108.944355\nBrazil\tAmericas\t1957\t53.285\t65551171\t2487.365989\nBrazil\tAmericas\t1962\t55.665\t76039390\t3336.585802\nBrazil\tAmericas\t1967\t57.632\t88049823\t3429.864357\nBrazil\tAmericas\t1972\t59.504\t100840058\t4985.711467\nBrazil\tAmericas\t1977\t61.489\t114313951\t6660.118654\nBrazil\tAmericas\t1982\t63.336\t128962939\t7030.835878\nBrazil\tAmericas\t1987\t65.205\t142938076\t7807.095818\nBrazil\tAmericas\t1992\t67.057\t155975974\t6950.283021\nBrazil\tAmericas\t1997\t69.388\t168546719\t7957.980824\nBrazil\tAmericas\t2002\t71.006\t179914212\t8131.212843\nBrazil\tAmericas\t2007\t72.39\t190010647\t9065.800825\nBulgaria\tEurope\t1952\t59.6\t7274900\t2444.286648\nBulgaria\tEurope\t1957\t66.61\t7651254\t3008.670727\nBulgaria\tEurope\t1962\t69.51\t8012946\t4254.337839\nBulgaria\tEurope\t1967\t70.42\t8310226\t5577.0028\nBulgaria\tEurope\t1972\t70.9\t8576200\t6597.494398\nBulgaria\tEurope\t1977\t70.81\t8797022\t7612.240438\nBulgaria\tEurope\t1982\t71.08\t8892098\t8224.191647\nBulgaria\tEurope\t1987\t71.34\t8971958\t8239.854824\nBulgaria\tEurope\t1992\t71.19\t8658506\t6302.623438\nBulgaria\tEurope\t1997\t70.32\t8066057\t5970.38876\nBulgaria\tEurope\t2002\t72.14\t7661799\t7696.777725\nBulgaria\tEurope\t2007\t73.005\t7322858\t10680.79282\nBurkina Faso\tAfrica\t1952\t31.975\t4469979\t543.2552413\nBurkina Faso\tAfrica\t1957\t34.906\t4713416\t617.1834648\nBurkina Faso\tAfrica\t1962\t37.814\t4919632\t722.5120206\nBurkina Faso\tAfrica\t1967\t40.697\t5127935\t794.8265597\nBurkina Faso\tAfrica\t1972\t43.591\t5433886\t854.7359763\nBurkina Faso\tAfrica\t1977\t46.137\t5889574\t743.3870368\nBurkina Faso\tAfrica\t1982\t48.122\t6634596\t807.1985855\nBurkina Faso\tAfrica\t1987\t49.557\t7586551\t912.0631417\nBurkina Faso\tAfrica\t1992\t50.26\t8878303\t931.7527731\nBurkina Faso\tAfrica\t1997\t50.324\t10352843\t946.2949618\nBurkina Faso\tAfrica\t2002\t50.65\t12251209\t1037.645221\nBurkina Faso\tAfrica\t2007\t52.295\t14326203\t1217.032994\nBurundi\tAfrica\t1952\t39.031\t2445618\t339.2964587\nBurundi\tAfrica\t1957\t40.533\t2667518\t379.5646281\nBurundi\tAfrica\t1962\t42.045\t2961915\t355.2032273\nBurundi\tAfrica\t1967\t43.548\t3330989\t412.9775136\nBurundi\tAfrica\t1972\t44.057\t3529983\t464.0995039\nBurundi\tAfrica\t1977\t45.91\t3834415\t556.1032651\nBurundi\tAfrica\t1982\t47.471\t4580410\t559.603231\nBurundi\tAfrica\t1987\t48.211\t5126023\t621.8188189\nBurundi\tAfrica\t1992\t44.736\t5809236\t631.6998778\nBurundi\tAfrica\t1997\t45.326\t6121610\t463.1151478\nBurundi\tAfrica\t2002\t47.36\t7021078\t446.4035126\nBurundi\tAfrica\t2007\t49.58\t8390505\t430.0706916\nCambodia\tAsia\t1952\t39.417\t4693836\t368.4692856\nCambodia\tAsia\t1957\t41.366\t5322536\t434.0383364\nCambodia\tAsia\t1962\t43.415\t6083619\t496.9136476\nCambodia\tAsia\t1967\t45.415\t6960067\t523.4323142\nCambodia\tAsia\t1972\t40.317\t7450606\t421.6240257\nCambodia\tAsia\t1977\t31.22\t6978607\t524.9721832\nCambodia\tAsia\t1982\t50.957\t7272485\t624.4754784\nCambodia\tAsia\t1987\t53.914\t8371791\t683.8955732\nCambodia\tAsia\t1992\t55.803\t10150094\t682.3031755\nCambodia\tAsia\t1997\t56.534\t11782962\t734.28517\nCambodia\tAsia\t2002\t56.752\t12926707\t896.2260153\nCambodia\tAsia\t2007\t59.723\t14131858\t1713.778686\nCameroon\tAfrica\t1952\t38.523\t5009067\t1172.667655\nCameroon\tAfrica\t1957\t40.428\t5359923\t1313.048099\nCameroon\tAfrica\t1962\t42.643\t5793633\t1399.607441\nCameroon\tAfrica\t1967\t44.799\t6335506\t1508.453148\nCameroon\tAfrica\t1972\t47.049\t7021028\t1684.146528\nCameroon\tAfrica\t1977\t49.355\t7959865\t1783.432873\nCameroon\tAfrica\t1982\t52.961\t9250831\t2367.983282\nCameroon\tAfrica\t1987\t54.985\t10780667\t2602.664206\nCameroon\tAfrica\t1992\t54.314\t12467171\t1793.163278\nCameroon\tAfrica\t1997\t52.199\t14195809\t1694.337469\nCameroon\tAfrica\t2002\t49.856\t15929988\t1934.011449\nCameroon\tAfrica\t2007\t50.43\t17696293\t2042.09524\nCanada\tAmericas\t1952\t68.75\t14785584\t11367.16112\nCanada\tAmericas\t1957\t69.96\t17010154\t12489.95006\nCanada\tAmericas\t1962\t71.3\t18985849\t13462.48555\nCanada\tAmericas\t1967\t72.13\t20819767\t16076.58803\nCanada\tAmericas\t1972\t72.88\t22284500\t18970.57086\nCanada\tAmericas\t1977\t74.21\t23796400\t22090.88306\nCanada\tAmericas\t1982\t75.76\t25201900\t22898.79214\nCanada\tAmericas\t1987\t76.86\t26549700\t26626.51503\nCanada\tAmericas\t1992\t77.95\t28523502\t26342.88426\nCanada\tAmericas\t1997\t78.61\t30305843\t28954.92589\nCanada\tAmericas\t2002\t79.77\t31902268\t33328.96507\nCanada\tAmericas\t2007\t80.653\t33390141\t36319.23501\nCentral African Republic\tAfrica\t1952\t35.463\t1291695\t1071.310713\nCentral African Republic\tAfrica\t1957\t37.464\t1392284\t1190.844328\nCentral African Republic\tAfrica\t1962\t39.475\t1523478\t1193.068753\nCentral African Republic\tAfrica\t1967\t41.478\t1733638\t1136.056615\nCentral African Republic\tAfrica\t1972\t43.457\t1927260\t1070.013275\nCentral African Republic\tAfrica\t1977\t46.775\t2167533\t1109.374338\nCentral African Republic\tAfrica\t1982\t48.295\t2476971\t956.7529907\nCentral African Republic\tAfrica\t1987\t50.485\t2840009\t844.8763504\nCentral African Republic\tAfrica\t1992\t49.396\t3265124\t747.9055252\nCentral African Republic\tAfrica\t1997\t46.066\t3696513\t740.5063317\nCentral African Republic\tAfrica\t2002\t43.308\t4048013\t738.6906068\nCentral African Republic\tAfrica\t2007\t44.741\t4369038\t706.016537\nChad\tAfrica\t1952\t38.092\t2682462\t1178.665927\nChad\tAfrica\t1957\t39.881\t2894855\t1308.495577\nChad\tAfrica\t1962\t41.716\t3150417\t1389.817618\nChad\tAfrica\t1967\t43.601\t3495967\t1196.810565\nChad\tAfrica\t1972\t45.569\t3899068\t1104.103987\nChad\tAfrica\t1977\t47.383\t4388260\t1133.98495\nChad\tAfrica\t1982\t49.517\t4875118\t797.9081006\nChad\tAfrica\t1987\t51.051\t5498955\t952.386129\nChad\tAfrica\t1992\t51.724\t6429417\t1058.0643\nChad\tAfrica\t1997\t51.573\t7562011\t1004.961353\nChad\tAfrica\t2002\t50.525\t8835739\t1156.18186\nChad\tAfrica\t2007\t50.651\t10238807\t1704.063724\nChile\tAmericas\t1952\t54.745\t6377619\t3939.978789\nChile\tAmericas\t1957\t56.074\t7048426\t4315.622723\nChile\tAmericas\t1962\t57.924\t7961258\t4519.094331\nChile\tAmericas\t1967\t60.523\t8858908\t5106.654313\nChile\tAmericas\t1972\t63.441\t9717524\t5494.024437\nChile\tAmericas\t1977\t67.052\t10599793\t4756.763836\nChile\tAmericas\t1982\t70.565\t11487112\t5095.665738\nChile\tAmericas\t1987\t72.492\t12463354\t5547.063754\nChile\tAmericas\t1992\t74.126\t13572994\t7596.125964\nChile\tAmericas\t1997\t75.816\t14599929\t10118.05318\nChile\tAmericas\t2002\t77.86\t15497046\t10778.78385\nChile\tAmericas\t2007\t78.553\t16284741\t13171.63885\nChina\tAsia\t1952\t44\t556263527\t400.448611\nChina\tAsia\t1957\t50.54896\t637408000\t575.9870009\nChina\tAsia\t1962\t44.50136\t665770000\t487.6740183\nChina\tAsia\t1967\t58.38112\t754550000\t612.7056934\nChina\tAsia\t1972\t63.11888\t862030000\t676.9000921\nChina\tAsia\t1977\t63.96736\t943455000\t741.2374699\nChina\tAsia\t1982\t65.525\t1000281000\t962.4213805\nChina\tAsia\t1987\t67.274\t1084035000\t1378.904018\nChina\tAsia\t1992\t68.69\t1164970000\t1655.784158\nChina\tAsia\t1997\t70.426\t1230075000\t2289.234136\nChina\tAsia\t2002\t72.028\t1280400000\t3119.280896\nChina\tAsia\t2007\t72.961\t1318683096\t4959.114854\nColombia\tAmericas\t1952\t50.643\t12350771\t2144.115096\nColombia\tAmericas\t1957\t55.118\t14485993\t2323.805581\nColombia\tAmericas\t1962\t57.863\t17009885\t2492.351109\nColombia\tAmericas\t1967\t59.963\t19764027\t2678.729839\nColombia\tAmericas\t1972\t61.623\t22542890\t3264.660041\nColombia\tAmericas\t1977\t63.837\t25094412\t3815.80787\nColombia\tAmericas\t1982\t66.653\t27764644\t4397.575659\nColombia\tAmericas\t1987\t67.768\t30964245\t4903.2191\nColombia\tAmericas\t1992\t68.421\t34202721\t5444.648617\nColombia\tAmericas\t1997\t70.313\t37657830\t6117.361746\nColombia\tAmericas\t2002\t71.682\t41008227\t5755.259962\nColombia\tAmericas\t2007\t72.889\t44227550\t7006.580419\nComoros\tAfrica\t1952\t40.715\t153936\t1102.990936\nComoros\tAfrica\t1957\t42.46\t170928\t1211.148548\nComoros\tAfrica\t1962\t44.467\t191689\t1406.648278\nComoros\tAfrica\t1967\t46.472\t217378\t1876.029643\nComoros\tAfrica\t1972\t48.944\t250027\t1937.577675\nComoros\tAfrica\t1977\t50.939\t304739\t1172.603047\nComoros\tAfrica\t1982\t52.933\t348643\t1267.100083\nComoros\tAfrica\t1987\t54.926\t395114\t1315.980812\nComoros\tAfrica\t1992\t57.939\t454429\t1246.90737\nComoros\tAfrica\t1997\t60.66\t527982\t1173.618235\nComoros\tAfrica\t2002\t62.974\t614382\t1075.811558\nComoros\tAfrica\t2007\t65.152\t710960\t986.1478792\nCongo, Dem. Rep.\tAfrica\t1952\t39.143\t14100005\t780.5423257\nCongo, Dem. Rep.\tAfrica\t1957\t40.652\t15577932\t905.8602303\nCongo, Dem. Rep.\tAfrica\t1962\t42.122\t17486434\t896.3146335\nCongo, Dem. Rep.\tAfrica\t1967\t44.056\t19941073\t861.5932424\nCongo, Dem. Rep.\tAfrica\t1972\t45.989\t23007669\t904.8960685\nCongo, Dem. Rep.\tAfrica\t1977\t47.804\t26480870\t795.757282\nCongo, Dem. Rep.\tAfrica\t1982\t47.784\t30646495\t673.7478181\nCongo, Dem. Rep.\tAfrica\t1987\t47.412\t35481645\t672.774812\nCongo, Dem. Rep.\tAfrica\t1992\t45.548\t41672143\t457.7191807\nCongo, Dem. Rep.\tAfrica\t1997\t42.587\t47798986\t312.188423\nCongo, Dem. Rep.\tAfrica\t2002\t44.966\t55379852\t241.1658765\nCongo, Dem. Rep.\tAfrica\t2007\t46.462\t64606759\t277.5518587\nCongo, Rep.\tAfrica\t1952\t42.111\t854885\t2125.621418\nCongo, Rep.\tAfrica\t1957\t45.053\t940458\t2315.056572\nCongo, Rep.\tAfrica\t1962\t48.435\t1047924\t2464.783157\nCongo, Rep.\tAfrica\t1967\t52.04\t1179760\t2677.939642\nCongo, Rep.\tAfrica\t1972\t54.907\t1340458\t3213.152683\nCongo, Rep.\tAfrica\t1977\t55.625\t1536769\t3259.178978\nCongo, Rep.\tAfrica\t1982\t56.695\t1774735\t4879.507522\nCongo, Rep.\tAfrica\t1987\t57.47\t2064095\t4201.194937\nCongo, Rep.\tAfrica\t1992\t56.433\t2409073\t4016.239529\nCongo, Rep.\tAfrica\t1997\t52.962\t2800947\t3484.164376\nCongo, Rep.\tAfrica\t2002\t52.97\t3328795\t3484.06197\nCongo, Rep.\tAfrica\t2007\t55.322\t3800610\t3632.557798\nCosta Rica\tAmericas\t1952\t57.206\t926317\t2627.009471\nCosta Rica\tAmericas\t1957\t60.026\t1112300\t2990.010802\nCosta Rica\tAmericas\t1962\t62.842\t1345187\t3460.937025\nCosta Rica\tAmericas\t1967\t65.424\t1588717\t4161.727834\nCosta Rica\tAmericas\t1972\t67.849\t1834796\t5118.146939\nCosta Rica\tAmericas\t1977\t70.75\t2108457\t5926.876967\nCosta Rica\tAmericas\t1982\t73.45\t2424367\t5262.734751\nCosta Rica\tAmericas\t1987\t74.752\t2799811\t5629.915318\nCosta Rica\tAmericas\t1992\t75.713\t3173216\t6160.416317\nCosta Rica\tAmericas\t1997\t77.26\t3518107\t6677.045314\nCosta Rica\tAmericas\t2002\t78.123\t3834934\t7723.447195\nCosta Rica\tAmericas\t2007\t78.782\t4133884\t9645.06142\nCote d'Ivoire\tAfrica\t1952\t40.477\t2977019\t1388.594732\nCote d'Ivoire\tAfrica\t1957\t42.469\t3300000\t1500.895925\nCote d'Ivoire\tAfrica\t1962\t44.93\t3832408\t1728.869428\nCote d'Ivoire\tAfrica\t1967\t47.35\t4744870\t2052.050473\nCote d'Ivoire\tAfrica\t1972\t49.801\t6071696\t2378.201111\nCote d'Ivoire\tAfrica\t1977\t52.374\t7459574\t2517.736547\nCote d'Ivoire\tAfrica\t1982\t53.983\t9025951\t2602.710169\nCote d'Ivoire\tAfrica\t1987\t54.655\t10761098\t2156.956069\nCote d'Ivoire\tAfrica\t1992\t52.044\t12772596\t1648.073791\nCote d'Ivoire\tAfrica\t1997\t47.991\t14625967\t1786.265407\nCote d'Ivoire\tAfrica\t2002\t46.832\t16252726\t1648.800823\nCote d'Ivoire\tAfrica\t2007\t48.328\t18013409\t1544.750112\nCroatia\tEurope\t1952\t61.21\t3882229\t3119.23652\nCroatia\tEurope\t1957\t64.77\t3991242\t4338.231617\nCroatia\tEurope\t1962\t67.13\t4076557\t5477.890018\nCroatia\tEurope\t1967\t68.5\t4174366\t6960.297861\nCroatia\tEurope\t1972\t69.61\t4225310\t9164.090127\nCroatia\tEurope\t1977\t70.64\t4318673\t11305.38517\nCroatia\tEurope\t1982\t70.46\t4413368\t13221.82184\nCroatia\tEurope\t1987\t71.52\t4484310\t13822.58394\nCroatia\tEurope\t1992\t72.527\t4494013\t8447.794873\nCroatia\tEurope\t1997\t73.68\t4444595\t9875.604515\nCroatia\tEurope\t2002\t74.876\t4481020\t11628.38895\nCroatia\tEurope\t2007\t75.748\t4493312\t14619.22272\nCuba\tAmericas\t1952\t59.421\t6007797\t5586.53878\nCuba\tAmericas\t1957\t62.325\t6640752\t6092.174359\nCuba\tAmericas\t1962\t65.246\t7254373\t5180.75591\nCuba\tAmericas\t1967\t68.29\t8139332\t5690.268015\nCuba\tAmericas\t1972\t70.723\t8831348\t5305.445256\nCuba\tAmericas\t1977\t72.649\t9537988\t6380.494966\nCuba\tAmericas\t1982\t73.717\t9789224\t7316.918107\nCuba\tAmericas\t1987\t74.174\t10239839\t7532.924763\nCuba\tAmericas\t1992\t74.414\t10723260\t5592.843963\nCuba\tAmericas\t1997\t76.151\t10983007\t5431.990415\nCuba\tAmericas\t2002\t77.158\t11226999\t6340.646683\nCuba\tAmericas\t2007\t78.273\t11416987\t8948.102923\nCzech Republic\tEurope\t1952\t66.87\t9125183\t6876.14025\nCzech Republic\tEurope\t1957\t69.03\t9513758\t8256.343918\nCzech Republic\tEurope\t1962\t69.9\t9620282\t10136.86713\nCzech Republic\tEurope\t1967\t70.38\t9835109\t11399.44489\nCzech Republic\tEurope\t1972\t70.29\t9862158\t13108.4536\nCzech Republic\tEurope\t1977\t70.71\t10161915\t14800.16062\nCzech Republic\tEurope\t1982\t70.96\t10303704\t15377.22855\nCzech Republic\tEurope\t1987\t71.58\t10311597\t16310.4434\nCzech Republic\tEurope\t1992\t72.4\t10315702\t14297.02122\nCzech Republic\tEurope\t1997\t74.01\t10300707\t16048.51424\nCzech Republic\tEurope\t2002\t75.51\t10256295\t17596.21022\nCzech Republic\tEurope\t2007\t76.486\t10228744\t22833.30851\nDenmark\tEurope\t1952\t70.78\t4334000\t9692.385245\nDenmark\tEurope\t1957\t71.81\t4487831\t11099.65935\nDenmark\tEurope\t1962\t72.35\t4646899\t13583.31351\nDenmark\tEurope\t1967\t72.96\t4838800\t15937.21123\nDenmark\tEurope\t1972\t73.47\t4991596\t18866.20721\nDenmark\tEurope\t1977\t74.69\t5088419\t20422.9015\nDenmark\tEurope\t1982\t74.63\t5117810\t21688.04048\nDenmark\tEurope\t1987\t74.8\t5127024\t25116.17581\nDenmark\tEurope\t1992\t75.33\t5171393\t26406.73985\nDenmark\tEurope\t1997\t76.11\t5283663\t29804.34567\nDenmark\tEurope\t2002\t77.18\t5374693\t32166.50006\nDenmark\tEurope\t2007\t78.332\t5468120\t35278.41874\nDjibouti\tAfrica\t1952\t34.812\t63149\t2669.529475\nDjibouti\tAfrica\t1957\t37.328\t71851\t2864.969076\nDjibouti\tAfrica\t1962\t39.693\t89898\t3020.989263\nDjibouti\tAfrica\t1967\t42.074\t127617\t3020.050513\nDjibouti\tAfrica\t1972\t44.366\t178848\t3694.212352\nDjibouti\tAfrica\t1977\t46.519\t228694\t3081.761022\nDjibouti\tAfrica\t1982\t48.812\t305991\t2879.468067\nDjibouti\tAfrica\t1987\t50.04\t311025\t2880.102568\nDjibouti\tAfrica\t1992\t51.604\t384156\t2377.156192\nDjibouti\tAfrica\t1997\t53.157\t417908\t1895.016984\nDjibouti\tAfrica\t2002\t53.373\t447416\t1908.260867\nDjibouti\tAfrica\t2007\t54.791\t496374\t2082.481567\nDominican Republic\tAmericas\t1952\t45.928\t2491346\t1397.717137\nDominican Republic\tAmericas\t1957\t49.828\t2923186\t1544.402995\nDominican Republic\tAmericas\t1962\t53.459\t3453434\t1662.137359\nDominican Republic\tAmericas\t1967\t56.751\t4049146\t1653.723003\nDominican Republic\tAmericas\t1972\t59.631\t4671329\t2189.874499\nDominican Republic\tAmericas\t1977\t61.788\t5302800\t2681.9889\nDominican Republic\tAmericas\t1982\t63.727\t5968349\t2861.092386\nDominican Republic\tAmericas\t1987\t66.046\t6655297\t2899.842175\nDominican Republic\tAmericas\t1992\t68.457\t7351181\t3044.214214\nDominican Republic\tAmericas\t1997\t69.957\t7992357\t3614.101285\nDominican Republic\tAmericas\t2002\t70.847\t8650322\t4563.808154\nDominican Republic\tAmericas\t2007\t72.235\t9319622\t6025.374752\nEcuador\tAmericas\t1952\t48.357\t3548753\t3522.110717\nEcuador\tAmericas\t1957\t51.356\t4058385\t3780.546651\nEcuador\tAmericas\t1962\t54.64\t4681707\t4086.114078\nEcuador\tAmericas\t1967\t56.678\t5432424\t4579.074215\nEcuador\tAmericas\t1972\t58.796\t6298651\t5280.99471\nEcuador\tAmericas\t1977\t61.31\t7278866\t6679.62326\nEcuador\tAmericas\t1982\t64.342\t8365850\t7213.791267\nEcuador\tAmericas\t1987\t67.231\t9545158\t6481.776993\nEcuador\tAmericas\t1992\t69.613\t10748394\t7103.702595\nEcuador\tAmericas\t1997\t72.312\t11911819\t7429.455877\nEcuador\tAmericas\t2002\t74.173\t12921234\t5773.044512\nEcuador\tAmericas\t2007\t74.994\t13755680\t6873.262326\nEgypt\tAfrica\t1952\t41.893\t22223309\t1418.822445\nEgypt\tAfrica\t1957\t44.444\t25009741\t1458.915272\nEgypt\tAfrica\t1962\t46.992\t28173309\t1693.335853\nEgypt\tAfrica\t1967\t49.293\t31681188\t1814.880728\nEgypt\tAfrica\t1972\t51.137\t34807417\t2024.008147\nEgypt\tAfrica\t1977\t53.319\t38783863\t2785.493582\nEgypt\tAfrica\t1982\t56.006\t45681811\t3503.729636\nEgypt\tAfrica\t1987\t59.797\t52799062\t3885.46071\nEgypt\tAfrica\t1992\t63.674\t59402198\t3794.755195\nEgypt\tAfrica\t1997\t67.217\t66134291\t4173.181797\nEgypt\tAfrica\t2002\t69.806\t73312559\t4754.604414\nEgypt\tAfrica\t2007\t71.338\t80264543\t5581.180998\nEl Salvador\tAmericas\t1952\t45.262\t2042865\t3048.3029\nEl Salvador\tAmericas\t1957\t48.57\t2355805\t3421.523218\nEl Salvador\tAmericas\t1962\t52.307\t2747687\t3776.803627\nEl Salvador\tAmericas\t1967\t55.855\t3232927\t4358.595393\nEl Salvador\tAmericas\t1972\t58.207\t3790903\t4520.246008\nEl Salvador\tAmericas\t1977\t56.696\t4282586\t5138.922374\nEl Salvador\tAmericas\t1982\t56.604\t4474873\t4098.344175\nEl Salvador\tAmericas\t1987\t63.154\t4842194\t4140.442097\nEl Salvador\tAmericas\t1992\t66.798\t5274649\t4444.2317\nEl Salvador\tAmericas\t1997\t69.535\t5783439\t5154.825496\nEl Salvador\tAmericas\t2002\t70.734\t6353681\t5351.568666\nEl Salvador\tAmericas\t2007\t71.878\t6939688\t5728.353514\nEquatorial Guinea\tAfrica\t1952\t34.482\t216964\t375.6431231\nEquatorial Guinea\tAfrica\t1957\t35.983\t232922\t426.0964081\nEquatorial Guinea\tAfrica\t1962\t37.485\t249220\t582.8419714\nEquatorial Guinea\tAfrica\t1967\t38.987\t259864\t915.5960025\nEquatorial Guinea\tAfrica\t1972\t40.516\t277603\t672.4122571\nEquatorial Guinea\tAfrica\t1977\t42.024\t192675\t958.5668124\nEquatorial Guinea\tAfrica\t1982\t43.662\t285483\t927.8253427\nEquatorial Guinea\tAfrica\t1987\t45.664\t341244\t966.8968149\nEquatorial Guinea\tAfrica\t1992\t47.545\t387838\t1132.055034\nEquatorial Guinea\tAfrica\t1997\t48.245\t439971\t2814.480755\nEquatorial Guinea\tAfrica\t2002\t49.348\t495627\t7703.4959\nEquatorial Guinea\tAfrica\t2007\t51.579\t551201\t12154.08975\nEritrea\tAfrica\t1952\t35.928\t1438760\t328.9405571\nEritrea\tAfrica\t1957\t38.047\t1542611\t344.1618859\nEritrea\tAfrica\t1962\t40.158\t1666618\t380.9958433\nEritrea\tAfrica\t1967\t42.189\t1820319\t468.7949699\nEritrea\tAfrica\t1972\t44.142\t2260187\t514.3242082\nEritrea\tAfrica\t1977\t44.535\t2512642\t505.7538077\nEritrea\tAfrica\t1982\t43.89\t2637297\t524.8758493\nEritrea\tAfrica\t1987\t46.453\t2915959\t521.1341333\nEritrea\tAfrica\t1992\t49.991\t3668440\t582.8585102\nEritrea\tAfrica\t1997\t53.378\t4058319\t913.47079\nEritrea\tAfrica\t2002\t55.24\t4414865\t765.3500015\nEritrea\tAfrica\t2007\t58.04\t4906585\t641.3695236\nEthiopia\tAfrica\t1952\t34.078\t20860941\t362.1462796\nEthiopia\tAfrica\t1957\t36.667\t22815614\t378.9041632\nEthiopia\tAfrica\t1962\t40.059\t25145372\t419.4564161\nEthiopia\tAfrica\t1967\t42.115\t27860297\t516.1186438\nEthiopia\tAfrica\t1972\t43.515\t30770372\t566.2439442\nEthiopia\tAfrica\t1977\t44.51\t34617799\t556.8083834\nEthiopia\tAfrica\t1982\t44.916\t38111756\t577.8607471\nEthiopia\tAfrica\t1987\t46.684\t42999530\t573.7413142\nEthiopia\tAfrica\t1992\t48.091\t52088559\t421.3534653\nEthiopia\tAfrica\t1997\t49.402\t59861301\t515.8894013\nEthiopia\tAfrica\t2002\t50.725\t67946797\t530.0535319\nEthiopia\tAfrica\t2007\t52.947\t76511887\t690.8055759\nFinland\tEurope\t1952\t66.55\t4090500\t6424.519071\nFinland\tEurope\t1957\t67.49\t4324000\t7545.415386\nFinland\tEurope\t1962\t68.75\t4491443\t9371.842561\nFinland\tEurope\t1967\t69.83\t4605744\t10921.63626\nFinland\tEurope\t1972\t70.87\t4639657\t14358.8759\nFinland\tEurope\t1977\t72.52\t4738902\t15605.42283\nFinland\tEurope\t1982\t74.55\t4826933\t18533.15761\nFinland\tEurope\t1987\t74.83\t4931729\t21141.01223\nFinland\tEurope\t1992\t75.7\t5041039\t20647.16499\nFinland\tEurope\t1997\t77.13\t5134406\t23723.9502\nFinland\tEurope\t2002\t78.37\t5193039\t28204.59057\nFinland\tEurope\t2007\t79.313\t5238460\t33207.0844\nFrance\tEurope\t1952\t67.41\t42459667\t7029.809327\nFrance\tEurope\t1957\t68.93\t44310863\t8662.834898\nFrance\tEurope\t1962\t70.51\t47124000\t10560.48553\nFrance\tEurope\t1967\t71.55\t49569000\t12999.91766\nFrance\tEurope\t1972\t72.38\t51732000\t16107.19171\nFrance\tEurope\t1977\t73.83\t53165019\t18292.63514\nFrance\tEurope\t1982\t74.89\t54433565\t20293.89746\nFrance\tEurope\t1987\t76.34\t55630100\t22066.44214\nFrance\tEurope\t1992\t77.46\t57374179\t24703.79615\nFrance\tEurope\t1997\t78.64\t58623428\t25889.78487\nFrance\tEurope\t2002\t79.59\t59925035\t28926.03234\nFrance\tEurope\t2007\t80.657\t61083916\t30470.0167\nGabon\tAfrica\t1952\t37.003\t420702\t4293.476475\nGabon\tAfrica\t1957\t38.999\t434904\t4976.198099\nGabon\tAfrica\t1962\t40.489\t455661\t6631.459222\nGabon\tAfrica\t1967\t44.598\t489004\t8358.761987\nGabon\tAfrica\t1972\t48.69\t537977\t11401.94841\nGabon\tAfrica\t1977\t52.79\t706367\t21745.57328\nGabon\tAfrica\t1982\t56.564\t753874\t15113.36194\nGabon\tAfrica\t1987\t60.19\t880397\t11864.40844\nGabon\tAfrica\t1992\t61.366\t985739\t13522.15752\nGabon\tAfrica\t1997\t60.461\t1126189\t14722.84188\nGabon\tAfrica\t2002\t56.761\t1299304\t12521.71392\nGabon\tAfrica\t2007\t56.735\t1454867\t13206.48452\nGambia\tAfrica\t1952\t30\t284320\t485.2306591\nGambia\tAfrica\t1957\t32.065\t323150\t520.9267111\nGambia\tAfrica\t1962\t33.896\t374020\t599.650276\nGambia\tAfrica\t1967\t35.857\t439593\t734.7829124\nGambia\tAfrica\t1972\t38.308\t517101\t756.0868363\nGambia\tAfrica\t1977\t41.842\t608274\t884.7552507\nGambia\tAfrica\t1982\t45.58\t715523\t835.8096108\nGambia\tAfrica\t1987\t49.265\t848406\t611.6588611\nGambia\tAfrica\t1992\t52.644\t1025384\t665.6244126\nGambia\tAfrica\t1997\t55.861\t1235767\t653.7301704\nGambia\tAfrica\t2002\t58.041\t1457766\t660.5855997\nGambia\tAfrica\t2007\t59.448\t1688359\t752.7497265\nGermany\tEurope\t1952\t67.5\t69145952\t7144.114393\nGermany\tEurope\t1957\t69.1\t71019069\t10187.82665\nGermany\tEurope\t1962\t70.3\t73739117\t12902.46291\nGermany\tEurope\t1967\t70.8\t76368453\t14745.62561\nGermany\tEurope\t1972\t71\t78717088\t18016.18027\nGermany\tEurope\t1977\t72.5\t78160773\t20512.92123\nGermany\tEurope\t1982\t73.8\t78335266\t22031.53274\nGermany\tEurope\t1987\t74.847\t77718298\t24639.18566\nGermany\tEurope\t1992\t76.07\t80597764\t26505.30317\nGermany\tEurope\t1997\t77.34\t82011073\t27788.88416\nGermany\tEurope\t2002\t78.67\t82350671\t30035.80198\nGermany\tEurope\t2007\t79.406\t82400996\t32170.37442\nGhana\tAfrica\t1952\t43.149\t5581001\t911.2989371\nGhana\tAfrica\t1957\t44.779\t6391288\t1043.561537\nGhana\tAfrica\t1962\t46.452\t7355248\t1190.041118\nGhana\tAfrica\t1967\t48.072\t8490213\t1125.69716\nGhana\tAfrica\t1972\t49.875\t9354120\t1178.223708\nGhana\tAfrica\t1977\t51.756\t10538093\t993.2239571\nGhana\tAfrica\t1982\t53.744\t11400338\t876.032569\nGhana\tAfrica\t1987\t55.729\t14168101\t847.0061135\nGhana\tAfrica\t1992\t57.501\t16278738\t925.060154\nGhana\tAfrica\t1997\t58.556\t18418288\t1005.245812\nGhana\tAfrica\t2002\t58.453\t20550751\t1111.984578\nGhana\tAfrica\t2007\t60.022\t22873338\t1327.60891\nGreece\tEurope\t1952\t65.86\t7733250\t3530.690067\nGreece\tEurope\t1957\t67.86\t8096218\t4916.299889\nGreece\tEurope\t1962\t69.51\t8448233\t6017.190733\nGreece\tEurope\t1967\t71\t8716441\t8513.097016\nGreece\tEurope\t1972\t72.34\t8888628\t12724.82957\nGreece\tEurope\t1977\t73.68\t9308479\t14195.52428\nGreece\tEurope\t1982\t75.24\t9786480\t15268.42089\nGreece\tEurope\t1987\t76.67\t9974490\t16120.52839\nGreece\tEurope\t1992\t77.03\t10325429\t17541.49634\nGreece\tEurope\t1997\t77.869\t10502372\t18747.69814\nGreece\tEurope\t2002\t78.256\t10603863\t22514.2548\nGreece\tEurope\t2007\t79.483\t10706290\t27538.41188\nGuatemala\tAmericas\t1952\t42.023\t3146381\t2428.237769\nGuatemala\tAmericas\t1957\t44.142\t3640876\t2617.155967\nGuatemala\tAmericas\t1962\t46.954\t4208858\t2750.364446\nGuatemala\tAmericas\t1967\t50.016\t4690773\t3242.531147\nGuatemala\tAmericas\t1972\t53.738\t5149581\t4031.408271\nGuatemala\tAmericas\t1977\t56.029\t5703430\t4879.992748\nGuatemala\tAmericas\t1982\t58.137\t6395630\t4820.49479\nGuatemala\tAmericas\t1987\t60.782\t7326406\t4246.485974\nGuatemala\tAmericas\t1992\t63.373\t8486949\t4439.45084\nGuatemala\tAmericas\t1997\t66.322\t9803875\t4684.313807\nGuatemala\tAmericas\t2002\t68.978\t11178650\t4858.347495\nGuatemala\tAmericas\t2007\t70.259\t12572928\t5186.050003\nGuinea\tAfrica\t1952\t33.609\t2664249\t510.1964923\nGuinea\tAfrica\t1957\t34.558\t2876726\t576.2670245\nGuinea\tAfrica\t1962\t35.753\t3140003\t686.3736739\nGuinea\tAfrica\t1967\t37.197\t3451418\t708.7595409\nGuinea\tAfrica\t1972\t38.842\t3811387\t741.6662307\nGuinea\tAfrica\t1977\t40.762\t4227026\t874.6858643\nGuinea\tAfrica\t1982\t42.891\t4710497\t857.2503577\nGuinea\tAfrica\t1987\t45.552\t5650262\t805.5724718\nGuinea\tAfrica\t1992\t48.576\t6990574\t794.3484384\nGuinea\tAfrica\t1997\t51.455\t8048834\t869.4497668\nGuinea\tAfrica\t2002\t53.676\t8807818\t945.5835837\nGuinea\tAfrica\t2007\t56.007\t9947814\t942.6542111\nGuinea-Bissau\tAfrica\t1952\t32.5\t580653\t299.850319\nGuinea-Bissau\tAfrica\t1957\t33.489\t601095\t431.7904566\nGuinea-Bissau\tAfrica\t1962\t34.488\t627820\t522.0343725\nGuinea-Bissau\tAfrica\t1967\t35.492\t601287\t715.5806402\nGuinea-Bissau\tAfrica\t1972\t36.486\t625361\t820.2245876\nGuinea-Bissau\tAfrica\t1977\t37.465\t745228\t764.7259628\nGuinea-Bissau\tAfrica\t1982\t39.327\t825987\t838.1239671\nGuinea-Bissau\tAfrica\t1987\t41.245\t927524\t736.4153921\nGuinea-Bissau\tAfrica\t1992\t43.266\t1050938\t745.5398706\nGuinea-Bissau\tAfrica\t1997\t44.873\t1193708\t796.6644681\nGuinea-Bissau\tAfrica\t2002\t45.504\t1332459\t575.7047176\nGuinea-Bissau\tAfrica\t2007\t46.388\t1472041\t579.231743\nHaiti\tAmericas\t1952\t37.579\t3201488\t1840.366939\nHaiti\tAmericas\t1957\t40.696\t3507701\t1726.887882\nHaiti\tAmericas\t1962\t43.59\t3880130\t1796.589032\nHaiti\tAmericas\t1967\t46.243\t4318137\t1452.057666\nHaiti\tAmericas\t1972\t48.042\t4698301\t1654.456946\nHaiti\tAmericas\t1977\t49.923\t4908554\t1874.298931\nHaiti\tAmericas\t1982\t51.461\t5198399\t2011.159549\nHaiti\tAmericas\t1987\t53.636\t5756203\t1823.015995\nHaiti\tAmericas\t1992\t55.089\t6326682\t1456.309517\nHaiti\tAmericas\t1997\t56.671\t6913545\t1341.726931\nHaiti\tAmericas\t2002\t58.137\t7607651\t1270.364932\nHaiti\tAmericas\t2007\t60.916\t8502814\t1201.637154\nHonduras\tAmericas\t1952\t41.912\t1517453\t2194.926204\nHonduras\tAmericas\t1957\t44.665\t1770390\t2220.487682\nHonduras\tAmericas\t1962\t48.041\t2090162\t2291.156835\nHonduras\tAmericas\t1967\t50.924\t2500689\t2538.269358\nHonduras\tAmericas\t1972\t53.884\t2965146\t2529.842345\nHonduras\tAmericas\t1977\t57.402\t3055235\t3203.208066\nHonduras\tAmericas\t1982\t60.909\t3669448\t3121.760794\nHonduras\tAmericas\t1987\t64.492\t4372203\t3023.096699\nHonduras\tAmericas\t1992\t66.399\t5077347\t3081.694603\nHonduras\tAmericas\t1997\t67.659\t5867957\t3160.454906\nHonduras\tAmericas\t2002\t68.565\t6677328\t3099.72866\nHonduras\tAmericas\t2007\t70.198\t7483763\t3548.330846\nHong Kong, China\tAsia\t1952\t60.96\t2125900\t3054.421209\nHong Kong, China\tAsia\t1957\t64.75\t2736300\t3629.076457\nHong Kong, China\tAsia\t1962\t67.65\t3305200\t4692.648272\nHong Kong, China\tAsia\t1967\t70\t3722800\t6197.962814\nHong Kong, China\tAsia\t1972\t72\t4115700\t8315.928145\nHong Kong, China\tAsia\t1977\t73.6\t4583700\t11186.14125\nHong Kong, China\tAsia\t1982\t75.45\t5264500\t14560.53051\nHong Kong, China\tAsia\t1987\t76.2\t5584510\t20038.47269\nHong Kong, China\tAsia\t1992\t77.601\t5829696\t24757.60301\nHong Kong, China\tAsia\t1997\t80\t6495918\t28377.63219\nHong Kong, China\tAsia\t2002\t81.495\t6762476\t30209.01516\nHong Kong, China\tAsia\t2007\t82.208\t6980412\t39724.97867\nHungary\tEurope\t1952\t64.03\t9504000\t5263.673816\nHungary\tEurope\t1957\t66.41\t9839000\t6040.180011\nHungary\tEurope\t1962\t67.96\t10063000\t7550.359877\nHungary\tEurope\t1967\t69.5\t10223422\t9326.64467\nHungary\tEurope\t1972\t69.76\t10394091\t10168.65611\nHungary\tEurope\t1977\t69.95\t10637171\t11674.83737\nHungary\tEurope\t1982\t69.39\t10705535\t12545.99066\nHungary\tEurope\t1987\t69.58\t10612740\t12986.47998\nHungary\tEurope\t1992\t69.17\t10348684\t10535.62855\nHungary\tEurope\t1997\t71.04\t10244684\t11712.7768\nHungary\tEurope\t2002\t72.59\t10083313\t14843.93556\nHungary\tEurope\t2007\t73.338\t9956108\t18008.94444\nIceland\tEurope\t1952\t72.49\t147962\t7267.688428\nIceland\tEurope\t1957\t73.47\t165110\t9244.001412\nIceland\tEurope\t1962\t73.68\t182053\t10350.15906\nIceland\tEurope\t1967\t73.73\t198676\t13319.89568\nIceland\tEurope\t1972\t74.46\t209275\t15798.06362\nIceland\tEurope\t1977\t76.11\t221823\t19654.96247\nIceland\tEurope\t1982\t76.99\t233997\t23269.6075\nIceland\tEurope\t1987\t77.23\t244676\t26923.20628\nIceland\tEurope\t1992\t78.77\t259012\t25144.39201\nIceland\tEurope\t1997\t78.95\t271192\t28061.09966\nIceland\tEurope\t2002\t80.5\t288030\t31163.20196\nIceland\tEurope\t2007\t81.757\t301931\t36180.78919\nIndia\tAsia\t1952\t37.373\t372000000\t546.5657493\nIndia\tAsia\t1957\t40.249\t409000000\t590.061996\nIndia\tAsia\t1962\t43.605\t454000000\t658.3471509\nIndia\tAsia\t1967\t47.193\t506000000\t700.7706107\nIndia\tAsia\t1972\t50.651\t567000000\t724.032527\nIndia\tAsia\t1977\t54.208\t634000000\t813.337323\nIndia\tAsia\t1982\t56.596\t708000000\t855.7235377\nIndia\tAsia\t1987\t58.553\t788000000\t976.5126756\nIndia\tAsia\t1992\t60.223\t872000000\t1164.406809\nIndia\tAsia\t1997\t61.765\t959000000\t1458.817442\nIndia\tAsia\t2002\t62.879\t1034172547\t1746.769454\nIndia\tAsia\t2007\t64.698\t1110396331\t2452.210407\nIndonesia\tAsia\t1952\t37.468\t82052000\t749.6816546\nIndonesia\tAsia\t1957\t39.918\t90124000\t858.9002707\nIndonesia\tAsia\t1962\t42.518\t99028000\t849.2897701\nIndonesia\tAsia\t1967\t45.964\t109343000\t762.4317721\nIndonesia\tAsia\t1972\t49.203\t121282000\t1111.107907\nIndonesia\tAsia\t1977\t52.702\t136725000\t1382.702056\nIndonesia\tAsia\t1982\t56.159\t153343000\t1516.872988\nIndonesia\tAsia\t1987\t60.137\t169276000\t1748.356961\nIndonesia\tAsia\t1992\t62.681\t184816000\t2383.140898\nIndonesia\tAsia\t1997\t66.041\t199278000\t3119.335603\nIndonesia\tAsia\t2002\t68.588\t211060000\t2873.91287\nIndonesia\tAsia\t2007\t70.65\t223547000\t3540.651564\nIran\tAsia\t1952\t44.869\t17272000\t3035.326002\nIran\tAsia\t1957\t47.181\t19792000\t3290.257643\nIran\tAsia\t1962\t49.325\t22874000\t4187.329802\nIran\tAsia\t1967\t52.469\t26538000\t5906.731805\nIran\tAsia\t1972\t55.234\t30614000\t9613.818607\nIran\tAsia\t1977\t57.702\t35480679\t11888.59508\nIran\tAsia\t1982\t59.62\t43072751\t7608.334602\nIran\tAsia\t1987\t63.04\t51889696\t6642.881371\nIran\tAsia\t1992\t65.742\t60397973\t7235.653188\nIran\tAsia\t1997\t68.042\t63327987\t8263.590301\nIran\tAsia\t2002\t69.451\t66907826\t9240.761975\nIran\tAsia\t2007\t70.964\t69453570\t11605.71449\nIraq\tAsia\t1952\t45.32\t5441766\t4129.766056\nIraq\tAsia\t1957\t48.437\t6248643\t6229.333562\nIraq\tAsia\t1962\t51.457\t7240260\t8341.737815\nIraq\tAsia\t1967\t54.459\t8519282\t8931.459811\nIraq\tAsia\t1972\t56.95\t10061506\t9576.037596\nIraq\tAsia\t1977\t60.413\t11882916\t14688.23507\nIraq\tAsia\t1982\t62.038\t14173318\t14517.90711\nIraq\tAsia\t1987\t65.044\t16543189\t11643.57268\nIraq\tAsia\t1992\t59.461\t17861905\t3745.640687\nIraq\tAsia\t1997\t58.811\t20775703\t3076.239795\nIraq\tAsia\t2002\t57.046\t24001816\t4390.717312\nIraq\tAsia\t2007\t59.545\t27499638\t4471.061906\nIreland\tEurope\t1952\t66.91\t2952156\t5210.280328\nIreland\tEurope\t1957\t68.9\t2878220\t5599.077872\nIreland\tEurope\t1962\t70.29\t2830000\t6631.597314\nIreland\tEurope\t1967\t71.08\t2900100\t7655.568963\nIreland\tEurope\t1972\t71.28\t3024400\t9530.772896\nIreland\tEurope\t1977\t72.03\t3271900\t11150.98113\nIreland\tEurope\t1982\t73.1\t3480000\t12618.32141\nIreland\tEurope\t1987\t74.36\t3539900\t13872.86652\nIreland\tEurope\t1992\t75.467\t3557761\t17558.81555\nIreland\tEurope\t1997\t76.122\t3667233\t24521.94713\nIreland\tEurope\t2002\t77.783\t3879155\t34077.04939\nIreland\tEurope\t2007\t78.885\t4109086\t40675.99635\nIsrael\tAsia\t1952\t65.39\t1620914\t4086.522128\nIsrael\tAsia\t1957\t67.84\t1944401\t5385.278451\nIsrael\tAsia\t1962\t69.39\t2310904\t7105.630706\nIsrael\tAsia\t1967\t70.75\t2693585\t8393.741404\nIsrael\tAsia\t1972\t71.63\t3095893\t12786.93223\nIsrael\tAsia\t1977\t73.06\t3495918\t13306.61921\nIsrael\tAsia\t1982\t74.45\t3858421\t15367.0292\nIsrael\tAsia\t1987\t75.6\t4203148\t17122.47986\nIsrael\tAsia\t1992\t76.93\t4936550\t18051.52254\nIsrael\tAsia\t1997\t78.269\t5531387\t20896.60924\nIsrael\tAsia\t2002\t79.696\t6029529\t21905.59514\nIsrael\tAsia\t2007\t80.745\t6426679\t25523.2771\nItaly\tEurope\t1952\t65.94\t47666000\t4931.404155\nItaly\tEurope\t1957\t67.81\t49182000\t6248.656232\nItaly\tEurope\t1962\t69.24\t50843200\t8243.58234\nItaly\tEurope\t1967\t71.06\t52667100\t10022.40131\nItaly\tEurope\t1972\t72.19\t54365564\t12269.27378\nItaly\tEurope\t1977\t73.48\t56059245\t14255.98475\nItaly\tEurope\t1982\t74.98\t56535636\t16537.4835\nItaly\tEurope\t1987\t76.42\t56729703\t19207.23482\nItaly\tEurope\t1992\t77.44\t56840847\t22013.64486\nItaly\tEurope\t1997\t78.82\t57479469\t24675.02446\nItaly\tEurope\t2002\t80.24\t57926999\t27968.09817\nItaly\tEurope\t2007\t80.546\t58147733\t28569.7197\nJamaica\tAmericas\t1952\t58.53\t1426095\t2898.530881\nJamaica\tAmericas\t1957\t62.61\t1535090\t4756.525781\nJamaica\tAmericas\t1962\t65.61\t1665128\t5246.107524\nJamaica\tAmericas\t1967\t67.51\t1861096\t6124.703451\nJamaica\tAmericas\t1972\t69\t1997616\t7433.889293\nJamaica\tAmericas\t1977\t70.11\t2156814\t6650.195573\nJamaica\tAmericas\t1982\t71.21\t2298309\t6068.05135\nJamaica\tAmericas\t1987\t71.77\t2326606\t6351.237495\nJamaica\tAmericas\t1992\t71.766\t2378618\t7404.923685\nJamaica\tAmericas\t1997\t72.262\t2531311\t7121.924704\nJamaica\tAmericas\t2002\t72.047\t2664659\t6994.774861\nJamaica\tAmericas\t2007\t72.567\t2780132\t7320.880262\nJapan\tAsia\t1952\t63.03\t86459025\t3216.956347\nJapan\tAsia\t1957\t65.5\t91563009\t4317.694365\nJapan\tAsia\t1962\t68.73\t95831757\t6576.649461\nJapan\tAsia\t1967\t71.43\t100825279\t9847.788607\nJapan\tAsia\t1972\t73.42\t107188273\t14778.78636\nJapan\tAsia\t1977\t75.38\t113872473\t16610.37701\nJapan\tAsia\t1982\t77.11\t118454974\t19384.10571\nJapan\tAsia\t1987\t78.67\t122091325\t22375.94189\nJapan\tAsia\t1992\t79.36\t124329269\t26824.89511\nJapan\tAsia\t1997\t80.69\t125956499\t28816.58499\nJapan\tAsia\t2002\t82\t127065841\t28604.5919\nJapan\tAsia\t2007\t82.603\t127467972\t31656.06806\nJordan\tAsia\t1952\t43.158\t607914\t1546.907807\nJordan\tAsia\t1957\t45.669\t746559\t1886.080591\nJordan\tAsia\t1962\t48.126\t933559\t2348.009158\nJordan\tAsia\t1967\t51.629\t1255058\t2741.796252\nJordan\tAsia\t1972\t56.528\t1613551\t2110.856309\nJordan\tAsia\t1977\t61.134\t1937652\t2852.351568\nJordan\tAsia\t1982\t63.739\t2347031\t4161.415959\nJordan\tAsia\t1987\t65.869\t2820042\t4448.679912\nJordan\tAsia\t1992\t68.015\t3867409\t3431.593647\nJordan\tAsia\t1997\t69.772\t4526235\t3645.379572\nJordan\tAsia\t2002\t71.263\t5307470\t3844.917194\nJordan\tAsia\t2007\t72.535\t6053193\t4519.461171\nKenya\tAfrica\t1952\t42.27\t6464046\t853.540919\nKenya\tAfrica\t1957\t44.686\t7454779\t944.4383152\nKenya\tAfrica\t1962\t47.949\t8678557\t896.9663732\nKenya\tAfrica\t1967\t50.654\t10191512\t1056.736457\nKenya\tAfrica\t1972\t53.559\t12044785\t1222.359968\nKenya\tAfrica\t1977\t56.155\t14500404\t1267.613204\nKenya\tAfrica\t1982\t58.766\t17661452\t1348.225791\nKenya\tAfrica\t1987\t59.339\t21198082\t1361.936856\nKenya\tAfrica\t1992\t59.285\t25020539\t1341.921721\nKenya\tAfrica\t1997\t54.407\t28263827\t1360.485021\nKenya\tAfrica\t2002\t50.992\t31386842\t1287.514732\nKenya\tAfrica\t2007\t54.11\t35610177\t1463.249282\nKorea, Dem. Rep.\tAsia\t1952\t50.056\t8865488\t1088.277758\nKorea, Dem. Rep.\tAsia\t1957\t54.081\t9411381\t1571.134655\nKorea, Dem. Rep.\tAsia\t1962\t56.656\t10917494\t1621.693598\nKorea, Dem. Rep.\tAsia\t1967\t59.942\t12617009\t2143.540609\nKorea, Dem. Rep.\tAsia\t1972\t63.983\t14781241\t3701.621503\nKorea, Dem. Rep.\tAsia\t1977\t67.159\t16325320\t4106.301249\nKorea, Dem. Rep.\tAsia\t1982\t69.1\t17647518\t4106.525293\nKorea, Dem. Rep.\tAsia\t1987\t70.647\t19067554\t4106.492315\nKorea, Dem. Rep.\tAsia\t1992\t69.978\t20711375\t3726.063507\nKorea, Dem. Rep.\tAsia\t1997\t67.727\t21585105\t1690.756814\nKorea, Dem. Rep.\tAsia\t2002\t66.662\t22215365\t1646.758151\nKorea, Dem. Rep.\tAsia\t2007\t67.297\t23301725\t1593.06548\nKorea, Rep.\tAsia\t1952\t47.453\t20947571\t1030.592226\nKorea, Rep.\tAsia\t1957\t52.681\t22611552\t1487.593537\nKorea, Rep.\tAsia\t1962\t55.292\t26420307\t1536.344387\nKorea, Rep.\tAsia\t1967\t57.716\t30131000\t2029.228142\nKorea, Rep.\tAsia\t1972\t62.612\t33505000\t3030.87665\nKorea, Rep.\tAsia\t1977\t64.766\t36436000\t4657.22102\nKorea, Rep.\tAsia\t1982\t67.123\t39326000\t5622.942464\nKorea, Rep.\tAsia\t1987\t69.81\t41622000\t8533.088805\nKorea, Rep.\tAsia\t1992\t72.244\t43805450\t12104.27872\nKorea, Rep.\tAsia\t1997\t74.647\t46173816\t15993.52796\nKorea, Rep.\tAsia\t2002\t77.045\t47969150\t19233.98818\nKorea, Rep.\tAsia\t2007\t78.623\t49044790\t23348.13973\nKuwait\tAsia\t1952\t55.565\t160000\t108382.3529\nKuwait\tAsia\t1957\t58.033\t212846\t113523.1329\nKuwait\tAsia\t1962\t60.47\t358266\t95458.11176\nKuwait\tAsia\t1967\t64.624\t575003\t80894.88326\nKuwait\tAsia\t1972\t67.712\t841934\t109347.867\nKuwait\tAsia\t1977\t69.343\t1140357\t59265.47714\nKuwait\tAsia\t1982\t71.309\t1497494\t31354.03573\nKuwait\tAsia\t1987\t74.174\t1891487\t28118.42998\nKuwait\tAsia\t1992\t75.19\t1418095\t34932.91959\nKuwait\tAsia\t1997\t76.156\t1765345\t40300.61996\nKuwait\tAsia\t2002\t76.904\t2111561\t35110.10566\nKuwait\tAsia\t2007\t77.588\t2505559\t47306.98978\nLebanon\tAsia\t1952\t55.928\t1439529\t4834.804067\nLebanon\tAsia\t1957\t59.489\t1647412\t6089.786934\nLebanon\tAsia\t1962\t62.094\t1886848\t5714.560611\nLebanon\tAsia\t1967\t63.87\t2186894\t6006.983042\nLebanon\tAsia\t1972\t65.421\t2680018\t7486.384341\nLebanon\tAsia\t1977\t66.099\t3115787\t8659.696836\nLebanon\tAsia\t1982\t66.983\t3086876\t7640.519521\nLebanon\tAsia\t1987\t67.926\t3089353\t5377.091329\nLebanon\tAsia\t1992\t69.292\t3219994\t6890.806854\nLebanon\tAsia\t1997\t70.265\t3430388\t8754.96385\nLebanon\tAsia\t2002\t71.028\t3677780\t9313.93883\nLebanon\tAsia\t2007\t71.993\t3921278\t10461.05868\nLesotho\tAfrica\t1952\t42.138\t748747\t298.8462121\nLesotho\tAfrica\t1957\t45.047\t813338\t335.9971151\nLesotho\tAfrica\t1962\t47.747\t893143\t411.8006266\nLesotho\tAfrica\t1967\t48.492\t996380\t498.6390265\nLesotho\tAfrica\t1972\t49.767\t1116779\t496.5815922\nLesotho\tAfrica\t1977\t52.208\t1251524\t745.3695408\nLesotho\tAfrica\t1982\t55.078\t1411807\t797.2631074\nLesotho\tAfrica\t1987\t57.18\t1599200\t773.9932141\nLesotho\tAfrica\t1992\t59.685\t1803195\t977.4862725\nLesotho\tAfrica\t1997\t55.558\t1982823\t1186.147994\nLesotho\tAfrica\t2002\t44.593\t2046772\t1275.184575\nLesotho\tAfrica\t2007\t42.592\t2012649\t1569.331442\nLiberia\tAfrica\t1952\t38.48\t863308\t575.5729961\nLiberia\tAfrica\t1957\t39.486\t975950\t620.9699901\nLiberia\tAfrica\t1962\t40.502\t1112796\t634.1951625\nLiberia\tAfrica\t1967\t41.536\t1279406\t713.6036483\nLiberia\tAfrica\t1972\t42.614\t1482628\t803.0054535\nLiberia\tAfrica\t1977\t43.764\t1703617\t640.3224383\nLiberia\tAfrica\t1982\t44.852\t1956875\t572.1995694\nLiberia\tAfrica\t1987\t46.027\t2269414\t506.1138573\nLiberia\tAfrica\t1992\t40.802\t1912974\t636.6229191\nLiberia\tAfrica\t1997\t42.221\t2200725\t609.1739508\nLiberia\tAfrica\t2002\t43.753\t2814651\t531.4823679\nLiberia\tAfrica\t2007\t45.678\t3193942\t414.5073415\nLibya\tAfrica\t1952\t42.723\t1019729\t2387.54806\nLibya\tAfrica\t1957\t45.289\t1201578\t3448.284395\nLibya\tAfrica\t1962\t47.808\t1441863\t6757.030816\nLibya\tAfrica\t1967\t50.227\t1759224\t18772.75169\nLibya\tAfrica\t1972\t52.773\t2183877\t21011.49721\nLibya\tAfrica\t1977\t57.442\t2721783\t21951.21176\nLibya\tAfrica\t1982\t62.155\t3344074\t17364.27538\nLibya\tAfrica\t1987\t66.234\t3799845\t11770.5898\nLibya\tAfrica\t1992\t68.755\t4364501\t9640.138501\nLibya\tAfrica\t1997\t71.555\t4759670\t9467.446056\nLibya\tAfrica\t2002\t72.737\t5368585\t9534.677467\nLibya\tAfrica\t2007\t73.952\t6036914\t12057.49928\nMadagascar\tAfrica\t1952\t36.681\t4762912\t1443.011715\nMadagascar\tAfrica\t1957\t38.865\t5181679\t1589.20275\nMadagascar\tAfrica\t1962\t40.848\t5703324\t1643.38711\nMadagascar\tAfrica\t1967\t42.881\t6334556\t1634.047282\nMadagascar\tAfrica\t1972\t44.851\t7082430\t1748.562982\nMadagascar\tAfrica\t1977\t46.881\t8007166\t1544.228586\nMadagascar\tAfrica\t1982\t48.969\t9171477\t1302.878658\nMadagascar\tAfrica\t1987\t49.35\t10568642\t1155.441948\nMadagascar\tAfrica\t1992\t52.214\t12210395\t1040.67619\nMadagascar\tAfrica\t1997\t54.978\t14165114\t986.2958956\nMadagascar\tAfrica\t2002\t57.286\t16473477\t894.6370822\nMadagascar\tAfrica\t2007\t59.443\t19167654\t1044.770126\nMalawi\tAfrica\t1952\t36.256\t2917802\t369.1650802\nMalawi\tAfrica\t1957\t37.207\t3221238\t416.3698064\nMalawi\tAfrica\t1962\t38.41\t3628608\t427.9010856\nMalawi\tAfrica\t1967\t39.487\t4147252\t495.5147806\nMalawi\tAfrica\t1972\t41.766\t4730997\t584.6219709\nMalawi\tAfrica\t1977\t43.767\t5637246\t663.2236766\nMalawi\tAfrica\t1982\t45.642\t6502825\t632.8039209\nMalawi\tAfrica\t1987\t47.457\t7824747\t635.5173634\nMalawi\tAfrica\t1992\t49.42\t10014249\t563.2000145\nMalawi\tAfrica\t1997\t47.495\t10419991\t692.2758103\nMalawi\tAfrica\t2002\t45.009\t11824495\t665.4231186\nMalawi\tAfrica\t2007\t48.303\t13327079\t759.3499101\nMalaysia\tAsia\t1952\t48.463\t6748378\t1831.132894\nMalaysia\tAsia\t1957\t52.102\t7739235\t1810.066992\nMalaysia\tAsia\t1962\t55.737\t8906385\t2036.884944\nMalaysia\tAsia\t1967\t59.371\t10154878\t2277.742396\nMalaysia\tAsia\t1972\t63.01\t11441462\t2849.09478\nMalaysia\tAsia\t1977\t65.256\t12845381\t3827.921571\nMalaysia\tAsia\t1982\t68\t14441916\t4920.355951\nMalaysia\tAsia\t1987\t69.5\t16331785\t5249.802653\nMalaysia\tAsia\t1992\t70.693\t18319502\t7277.912802\nMalaysia\tAsia\t1997\t71.938\t20476091\t10132.90964\nMalaysia\tAsia\t2002\t73.044\t22662365\t10206.97794\nMalaysia\tAsia\t2007\t74.241\t24821286\t12451.6558\nMali\tAfrica\t1952\t33.685\t3838168\t452.3369807\nMali\tAfrica\t1957\t35.307\t4241884\t490.3821867\nMali\tAfrica\t1962\t36.936\t4690372\t496.1743428\nMali\tAfrica\t1967\t38.487\t5212416\t545.0098873\nMali\tAfrica\t1972\t39.977\t5828158\t581.3688761\nMali\tAfrica\t1977\t41.714\t6491649\t686.3952693\nMali\tAfrica\t1982\t43.916\t6998256\t618.0140641\nMali\tAfrica\t1987\t46.364\t7634008\t684.1715576\nMali\tAfrica\t1992\t48.388\t8416215\t739.014375\nMali\tAfrica\t1997\t49.903\t9384984\t790.2579846\nMali\tAfrica\t2002\t51.818\t10580176\t951.4097518\nMali\tAfrica\t2007\t54.467\t12031795\t1042.581557\nMauritania\tAfrica\t1952\t40.543\t1022556\t743.1159097\nMauritania\tAfrica\t1957\t42.338\t1076852\t846.1202613\nMauritania\tAfrica\t1962\t44.248\t1146757\t1055.896036\nMauritania\tAfrica\t1967\t46.289\t1230542\t1421.145193\nMauritania\tAfrica\t1972\t48.437\t1332786\t1586.851781\nMauritania\tAfrica\t1977\t50.852\t1456688\t1497.492223\nMauritania\tAfrica\t1982\t53.599\t1622136\t1481.150189\nMauritania\tAfrica\t1987\t56.145\t1841240\t1421.603576\nMauritania\tAfrica\t1992\t58.333\t2119465\t1361.369784\nMauritania\tAfrica\t1997\t60.43\t2444741\t1483.136136\nMauritania\tAfrica\t2002\t62.247\t2828858\t1579.019543\nMauritania\tAfrica\t2007\t64.164\t3270065\t1803.151496\nMauritius\tAfrica\t1952\t50.986\t516556\t1967.955707\nMauritius\tAfrica\t1957\t58.089\t609816\t2034.037981\nMauritius\tAfrica\t1962\t60.246\t701016\t2529.067487\nMauritius\tAfrica\t1967\t61.557\t789309\t2475.387562\nMauritius\tAfrica\t1972\t62.944\t851334\t2575.484158\nMauritius\tAfrica\t1977\t64.93\t913025\t3710.982963\nMauritius\tAfrica\t1982\t66.711\t992040\t3688.037739\nMauritius\tAfrica\t1987\t68.74\t1042663\t4783.586903\nMauritius\tAfrica\t1992\t69.745\t1096202\t6058.253846\nMauritius\tAfrica\t1997\t70.736\t1149818\t7425.705295\nMauritius\tAfrica\t2002\t71.954\t1200206\t9021.815894\nMauritius\tAfrica\t2007\t72.801\t1250882\t10956.99112\nMexico\tAmericas\t1952\t50.789\t30144317\t3478.125529\nMexico\tAmericas\t1957\t55.19\t35015548\t4131.546641\nMexico\tAmericas\t1962\t58.299\t41121485\t4581.609385\nMexico\tAmericas\t1967\t60.11\t47995559\t5754.733883\nMexico\tAmericas\t1972\t62.361\t55984294\t6809.40669\nMexico\tAmericas\t1977\t65.032\t63759976\t7674.929108\nMexico\tAmericas\t1982\t67.405\t71640904\t9611.147541\nMexico\tAmericas\t1987\t69.498\t80122492\t8688.156003\nMexico\tAmericas\t1992\t71.455\t88111030\t9472.384295\nMexico\tAmericas\t1997\t73.67\t95895146\t9767.29753\nMexico\tAmericas\t2002\t74.902\t102479927\t10742.44053\nMexico\tAmericas\t2007\t76.195\t108700891\t11977.57496\nMongolia\tAsia\t1952\t42.244\t800663\t786.5668575\nMongolia\tAsia\t1957\t45.248\t882134\t912.6626085\nMongolia\tAsia\t1962\t48.251\t1010280\t1056.353958\nMongolia\tAsia\t1967\t51.253\t1149500\t1226.04113\nMongolia\tAsia\t1972\t53.754\t1320500\t1421.741975\nMongolia\tAsia\t1977\t55.491\t1528000\t1647.511665\nMongolia\tAsia\t1982\t57.489\t1756032\t2000.603139\nMongolia\tAsia\t1987\t60.222\t2015133\t2338.008304\nMongolia\tAsia\t1992\t61.271\t2312802\t1785.402016\nMongolia\tAsia\t1997\t63.625\t2494803\t1902.2521\nMongolia\tAsia\t2002\t65.033\t2674234\t2140.739323\nMongolia\tAsia\t2007\t66.803\t2874127\t3095.772271\nMontenegro\tEurope\t1952\t59.164\t413834\t2647.585601\nMontenegro\tEurope\t1957\t61.448\t442829\t3682.259903\nMontenegro\tEurope\t1962\t63.728\t474528\t4649.593785\nMontenegro\tEurope\t1967\t67.178\t501035\t5907.850937\nMontenegro\tEurope\t1972\t70.636\t527678\t7778.414017\nMontenegro\tEurope\t1977\t73.066\t560073\t9595.929905\nMontenegro\tEurope\t1982\t74.101\t562548\t11222.58762\nMontenegro\tEurope\t1987\t74.865\t569473\t11732.51017\nMontenegro\tEurope\t1992\t75.435\t621621\t7003.339037\nMontenegro\tEurope\t1997\t75.445\t692651\t6465.613349\nMontenegro\tEurope\t2002\t73.981\t720230\t6557.194282\nMontenegro\tEurope\t2007\t74.543\t684736\t9253.896111\nMorocco\tAfrica\t1952\t42.873\t9939217\t1688.20357\nMorocco\tAfrica\t1957\t45.423\t11406350\t1642.002314\nMorocco\tAfrica\t1962\t47.924\t13056604\t1566.353493\nMorocco\tAfrica\t1967\t50.335\t14770296\t1711.04477\nMorocco\tAfrica\t1972\t52.862\t16660670\t1930.194975\nMorocco\tAfrica\t1977\t55.73\t18396941\t2370.619976\nMorocco\tAfrica\t1982\t59.65\t20198730\t2702.620356\nMorocco\tAfrica\t1987\t62.677\t22987397\t2755.046991\nMorocco\tAfrica\t1992\t65.393\t25798239\t2948.047252\nMorocco\tAfrica\t1997\t67.66\t28529501\t2982.101858\nMorocco\tAfrica\t2002\t69.615\t31167783\t3258.495584\nMorocco\tAfrica\t2007\t71.164\t33757175\t3820.17523\nMozambique\tAfrica\t1952\t31.286\t6446316\t468.5260381\nMozambique\tAfrica\t1957\t33.779\t7038035\t495.5868333\nMozambique\tAfrica\t1962\t36.161\t7788944\t556.6863539\nMozambique\tAfrica\t1967\t38.113\t8680909\t566.6691539\nMozambique\tAfrica\t1972\t40.328\t9809596\t724.9178037\nMozambique\tAfrica\t1977\t42.495\t11127868\t502.3197334\nMozambique\tAfrica\t1982\t42.795\t12587223\t462.2114149\nMozambique\tAfrica\t1987\t42.861\t12891952\t389.8761846\nMozambique\tAfrica\t1992\t44.284\t13160731\t410.8968239\nMozambique\tAfrica\t1997\t46.344\t16603334\t472.3460771\nMozambique\tAfrica\t2002\t44.026\t18473780\t633.6179466\nMozambique\tAfrica\t2007\t42.082\t19951656\t823.6856205\nMyanmar\tAsia\t1952\t36.319\t20092996\t331\nMyanmar\tAsia\t1957\t41.905\t21731844\t350\nMyanmar\tAsia\t1962\t45.108\t23634436\t388\nMyanmar\tAsia\t1967\t49.379\t25870271\t349\nMyanmar\tAsia\t1972\t53.07\t28466390\t357\nMyanmar\tAsia\t1977\t56.059\t31528087\t371\nMyanmar\tAsia\t1982\t58.056\t34680442\t424\nMyanmar\tAsia\t1987\t58.339\t38028578\t385\nMyanmar\tAsia\t1992\t59.32\t40546538\t347\nMyanmar\tAsia\t1997\t60.328\t43247867\t415\nMyanmar\tAsia\t2002\t59.908\t45598081\t611\nMyanmar\tAsia\t2007\t62.069\t47761980\t944\nNamibia\tAfrica\t1952\t41.725\t485831\t2423.780443\nNamibia\tAfrica\t1957\t45.226\t548080\t2621.448058\nNamibia\tAfrica\t1962\t48.386\t621392\t3173.215595\nNamibia\tAfrica\t1967\t51.159\t706640\t3793.694753\nNamibia\tAfrica\t1972\t53.867\t821782\t3746.080948\nNamibia\tAfrica\t1977\t56.437\t977026\t3876.485958\nNamibia\tAfrica\t1982\t58.968\t1099010\t4191.100511\nNamibia\tAfrica\t1987\t60.835\t1278184\t3693.731337\nNamibia\tAfrica\t1992\t61.999\t1554253\t3804.537999\nNamibia\tAfrica\t1997\t58.909\t1774766\t3899.52426\nNamibia\tAfrica\t2002\t51.479\t1972153\t4072.324751\nNamibia\tAfrica\t2007\t52.906\t2055080\t4811.060429\nNepal\tAsia\t1952\t36.157\t9182536\t545.8657229\nNepal\tAsia\t1957\t37.686\t9682338\t597.9363558\nNepal\tAsia\t1962\t39.393\t10332057\t652.3968593\nNepal\tAsia\t1967\t41.472\t11261690\t676.4422254\nNepal\tAsia\t1972\t43.971\t12412593\t674.7881296\nNepal\tAsia\t1977\t46.748\t13933198\t694.1124398\nNepal\tAsia\t1982\t49.594\t15796314\t718.3730947\nNepal\tAsia\t1987\t52.537\t17917180\t775.6324501\nNepal\tAsia\t1992\t55.727\t20326209\t897.7403604\nNepal\tAsia\t1997\t59.426\t23001113\t1010.892138\nNepal\tAsia\t2002\t61.34\t25873917\t1057.206311\nNepal\tAsia\t2007\t63.785\t28901790\t1091.359778\nNetherlands\tEurope\t1952\t72.13\t10381988\t8941.571858\nNetherlands\tEurope\t1957\t72.99\t11026383\t11276.19344\nNetherlands\tEurope\t1962\t73.23\t11805689\t12790.84956\nNetherlands\tEurope\t1967\t73.82\t12596822\t15363.25136\nNetherlands\tEurope\t1972\t73.75\t13329874\t18794.74567\nNetherlands\tEurope\t1977\t75.24\t13852989\t21209.0592\nNetherlands\tEurope\t1982\t76.05\t14310401\t21399.46046\nNetherlands\tEurope\t1987\t76.83\t14665278\t23651.32361\nNetherlands\tEurope\t1992\t77.42\t15174244\t26790.94961\nNetherlands\tEurope\t1997\t78.03\t15604464\t30246.13063\nNetherlands\tEurope\t2002\t78.53\t16122830\t33724.75778\nNetherlands\tEurope\t2007\t79.762\t16570613\t36797.93332\nNew Zealand\tOceania\t1952\t69.39\t1994794\t10556.57566\nNew Zealand\tOceania\t1957\t70.26\t2229407\t12247.39532\nNew Zealand\tOceania\t1962\t71.24\t2488550\t13175.678\nNew Zealand\tOceania\t1967\t71.52\t2728150\t14463.91893\nNew Zealand\tOceania\t1972\t71.89\t2929100\t16046.03728\nNew Zealand\tOceania\t1977\t72.22\t3164900\t16233.7177\nNew Zealand\tOceania\t1982\t73.84\t3210650\t17632.4104\nNew Zealand\tOceania\t1987\t74.32\t3317166\t19007.19129\nNew Zealand\tOceania\t1992\t76.33\t3437674\t18363.32494\nNew Zealand\tOceania\t1997\t77.55\t3676187\t21050.41377\nNew Zealand\tOceania\t2002\t79.11\t3908037\t23189.80135\nNew Zealand\tOceania\t2007\t80.204\t4115771\t25185.00911\nNicaragua\tAmericas\t1952\t42.314\t1165790\t3112.363948\nNicaragua\tAmericas\t1957\t45.432\t1358828\t3457.415947\nNicaragua\tAmericas\t1962\t48.632\t1590597\t3634.364406\nNicaragua\tAmericas\t1967\t51.884\t1865490\t4643.393534\nNicaragua\tAmericas\t1972\t55.151\t2182908\t4688.593267\nNicaragua\tAmericas\t1977\t57.47\t2554598\t5486.371089\nNicaragua\tAmericas\t1982\t59.298\t2979423\t3470.338156\nNicaragua\tAmericas\t1987\t62.008\t3344353\t2955.984375\nNicaragua\tAmericas\t1992\t65.843\t4017939\t2170.151724\nNicaragua\tAmericas\t1997\t68.426\t4609572\t2253.023004\nNicaragua\tAmericas\t2002\t70.836\t5146848\t2474.548819\nNicaragua\tAmericas\t2007\t72.899\t5675356\t2749.320965\nNiger\tAfrica\t1952\t37.444\t3379468\t761.879376\nNiger\tAfrica\t1957\t38.598\t3692184\t835.5234025\nNiger\tAfrica\t1962\t39.487\t4076008\t997.7661127\nNiger\tAfrica\t1967\t40.118\t4534062\t1054.384891\nNiger\tAfrica\t1972\t40.546\t5060262\t954.2092363\nNiger\tAfrica\t1977\t41.291\t5682086\t808.8970728\nNiger\tAfrica\t1982\t42.598\t6437188\t909.7221354\nNiger\tAfrica\t1987\t44.555\t7332638\t668.3000228\nNiger\tAfrica\t1992\t47.391\t8392818\t581.182725\nNiger\tAfrica\t1997\t51.313\t9666252\t580.3052092\nNiger\tAfrica\t2002\t54.496\t11140655\t601.0745012\nNiger\tAfrica\t2007\t56.867\t12894865\t619.6768924\nNigeria\tAfrica\t1952\t36.324\t33119096\t1077.281856\nNigeria\tAfrica\t1957\t37.802\t37173340\t1100.592563\nNigeria\tAfrica\t1962\t39.36\t41871351\t1150.927478\nNigeria\tAfrica\t1967\t41.04\t47287752\t1014.514104\nNigeria\tAfrica\t1972\t42.821\t53740085\t1698.388838\nNigeria\tAfrica\t1977\t44.514\t62209173\t1981.951806\nNigeria\tAfrica\t1982\t45.826\t73039376\t1576.97375\nNigeria\tAfrica\t1987\t46.886\t81551520\t1385.029563\nNigeria\tAfrica\t1992\t47.472\t93364244\t1619.848217\nNigeria\tAfrica\t1997\t47.464\t106207839\t1624.941275\nNigeria\tAfrica\t2002\t46.608\t119901274\t1615.286395\nNigeria\tAfrica\t2007\t46.859\t135031164\t2013.977305\nNorway\tEurope\t1952\t72.67\t3327728\t10095.42172\nNorway\tEurope\t1957\t73.44\t3491938\t11653.97304\nNorway\tEurope\t1962\t73.47\t3638919\t13450.40151\nNorway\tEurope\t1967\t74.08\t3786019\t16361.87647\nNorway\tEurope\t1972\t74.34\t3933004\t18965.05551\nNorway\tEurope\t1977\t75.37\t4043205\t23311.34939\nNorway\tEurope\t1982\t75.97\t4114787\t26298.63531\nNorway\tEurope\t1987\t75.89\t4186147\t31540.9748\nNorway\tEurope\t1992\t77.32\t4286357\t33965.66115\nNorway\tEurope\t1997\t78.32\t4405672\t41283.16433\nNorway\tEurope\t2002\t79.05\t4535591\t44683.97525\nNorway\tEurope\t2007\t80.196\t4627926\t49357.19017\nOman\tAsia\t1952\t37.578\t507833\t1828.230307\nOman\tAsia\t1957\t40.08\t561977\t2242.746551\nOman\tAsia\t1962\t43.165\t628164\t2924.638113\nOman\tAsia\t1967\t46.988\t714775\t4720.942687\nOman\tAsia\t1972\t52.143\t829050\t10618.03855\nOman\tAsia\t1977\t57.367\t1004533\t11848.34392\nOman\tAsia\t1982\t62.728\t1301048\t12954.79101\nOman\tAsia\t1987\t67.734\t1593882\t18115.22313\nOman\tAsia\t1992\t71.197\t1915208\t18616.70691\nOman\tAsia\t1997\t72.499\t2283635\t19702.05581\nOman\tAsia\t2002\t74.193\t2713462\t19774.83687\nOman\tAsia\t2007\t75.64\t3204897\t22316.19287\nPakistan\tAsia\t1952\t43.436\t41346560\t684.5971438\nPakistan\tAsia\t1957\t45.557\t46679944\t747.0835292\nPakistan\tAsia\t1962\t47.67\t53100671\t803.3427418\nPakistan\tAsia\t1967\t49.8\t60641899\t942.4082588\nPakistan\tAsia\t1972\t51.929\t69325921\t1049.938981\nPakistan\tAsia\t1977\t54.043\t78152686\t1175.921193\nPakistan\tAsia\t1982\t56.158\t91462088\t1443.429832\nPakistan\tAsia\t1987\t58.245\t105186881\t1704.686583\nPakistan\tAsia\t1992\t60.838\t120065004\t1971.829464\nPakistan\tAsia\t1997\t61.818\t135564834\t2049.350521\nPakistan\tAsia\t2002\t63.61\t153403524\t2092.712441\nPakistan\tAsia\t2007\t65.483\t169270617\t2605.94758\nPanama\tAmericas\t1952\t55.191\t940080\t2480.380334\nPanama\tAmericas\t1957\t59.201\t1063506\t2961.800905\nPanama\tAmericas\t1962\t61.817\t1215725\t3536.540301\nPanama\tAmericas\t1967\t64.071\t1405486\t4421.009084\nPanama\tAmericas\t1972\t66.216\t1616384\t5364.249663\nPanama\tAmericas\t1977\t68.681\t1839782\t5351.912144\nPanama\tAmericas\t1982\t70.472\t2036305\t7009.601598\nPanama\tAmericas\t1987\t71.523\t2253639\t7034.779161\nPanama\tAmericas\t1992\t72.462\t2484997\t6618.74305\nPanama\tAmericas\t1997\t73.738\t2734531\t7113.692252\nPanama\tAmericas\t2002\t74.712\t2990875\t7356.031934\nPanama\tAmericas\t2007\t75.537\t3242173\t9809.185636\nParaguay\tAmericas\t1952\t62.649\t1555876\t1952.308701\nParaguay\tAmericas\t1957\t63.196\t1770902\t2046.154706\nParaguay\tAmericas\t1962\t64.361\t2009813\t2148.027146\nParaguay\tAmericas\t1967\t64.951\t2287985\t2299.376311\nParaguay\tAmericas\t1972\t65.815\t2614104\t2523.337977\nParaguay\tAmericas\t1977\t66.353\t2984494\t3248.373311\nParaguay\tAmericas\t1982\t66.874\t3366439\t4258.503604\nParaguay\tAmericas\t1987\t67.378\t3886512\t3998.875695\nParaguay\tAmericas\t1992\t68.225\t4483945\t4196.411078\nParaguay\tAmericas\t1997\t69.4\t5154123\t4247.400261\nParaguay\tAmericas\t2002\t70.755\t5884491\t3783.674243\nParaguay\tAmericas\t2007\t71.752\t6667147\t4172.838464\nPeru\tAmericas\t1952\t43.902\t8025700\t3758.523437\nPeru\tAmericas\t1957\t46.263\t9146100\t4245.256698\nPeru\tAmericas\t1962\t49.096\t10516500\t4957.037982\nPeru\tAmericas\t1967\t51.445\t12132200\t5788.09333\nPeru\tAmericas\t1972\t55.448\t13954700\t5937.827283\nPeru\tAmericas\t1977\t58.447\t15990099\t6281.290855\nPeru\tAmericas\t1982\t61.406\t18125129\t6434.501797\nPeru\tAmericas\t1987\t64.134\t20195924\t6360.943444\nPeru\tAmericas\t1992\t66.458\t22430449\t4446.380924\nPeru\tAmericas\t1997\t68.386\t24748122\t5838.347657\nPeru\tAmericas\t2002\t69.906\t26769436\t5909.020073\nPeru\tAmericas\t2007\t71.421\t28674757\t7408.905561\nPhilippines\tAsia\t1952\t47.752\t22438691\t1272.880995\nPhilippines\tAsia\t1957\t51.334\t26072194\t1547.944844\nPhilippines\tAsia\t1962\t54.757\t30325264\t1649.552153\nPhilippines\tAsia\t1967\t56.393\t35356600\t1814.12743\nPhilippines\tAsia\t1972\t58.065\t40850141\t1989.37407\nPhilippines\tAsia\t1977\t60.06\t46850962\t2373.204287\nPhilippines\tAsia\t1982\t62.082\t53456774\t2603.273765\nPhilippines\tAsia\t1987\t64.151\t60017788\t2189.634995\nPhilippines\tAsia\t1992\t66.458\t67185766\t2279.324017\nPhilippines\tAsia\t1997\t68.564\t75012988\t2536.534925\nPhilippines\tAsia\t2002\t70.303\t82995088\t2650.921068\nPhilippines\tAsia\t2007\t71.688\t91077287\t3190.481016\nPoland\tEurope\t1952\t61.31\t25730551\t4029.329699\nPoland\tEurope\t1957\t65.77\t28235346\t4734.253019\nPoland\tEurope\t1962\t67.64\t30329617\t5338.752143\nPoland\tEurope\t1967\t69.61\t31785378\t6557.152776\nPoland\tEurope\t1972\t70.85\t33039545\t8006.506993\nPoland\tEurope\t1977\t70.67\t34621254\t9508.141454\nPoland\tEurope\t1982\t71.32\t36227381\t8451.531004\nPoland\tEurope\t1987\t70.98\t37740710\t9082.351172\nPoland\tEurope\t1992\t70.99\t38370697\t7738.881247\nPoland\tEurope\t1997\t72.75\t38654957\t10159.58368\nPoland\tEurope\t2002\t74.67\t38625976\t12002.23908\nPoland\tEurope\t2007\t75.563\t38518241\t15389.92468\nPortugal\tEurope\t1952\t59.82\t8526050\t3068.319867\nPortugal\tEurope\t1957\t61.51\t8817650\t3774.571743\nPortugal\tEurope\t1962\t64.39\t9019800\t4727.954889\nPortugal\tEurope\t1967\t66.6\t9103000\t6361.517993\nPortugal\tEurope\t1972\t69.26\t8970450\t9022.247417\nPortugal\tEurope\t1977\t70.41\t9662600\t10172.48572\nPortugal\tEurope\t1982\t72.77\t9859650\t11753.84291\nPortugal\tEurope\t1987\t74.06\t9915289\t13039.30876\nPortugal\tEurope\t1992\t74.86\t9927680\t16207.26663\nPortugal\tEurope\t1997\t75.97\t10156415\t17641.03156\nPortugal\tEurope\t2002\t77.29\t10433867\t19970.90787\nPortugal\tEurope\t2007\t78.098\t10642836\t20509.64777\nPuerto Rico\tAmericas\t1952\t64.28\t2227000\t3081.959785\nPuerto Rico\tAmericas\t1957\t68.54\t2260000\t3907.156189\nPuerto Rico\tAmericas\t1962\t69.62\t2448046\t5108.34463\nPuerto Rico\tAmericas\t1967\t71.1\t2648961\t6929.277714\nPuerto Rico\tAmericas\t1972\t72.16\t2847132\t9123.041742\nPuerto Rico\tAmericas\t1977\t73.44\t3080828\t9770.524921\nPuerto Rico\tAmericas\t1982\t73.75\t3279001\t10330.98915\nPuerto Rico\tAmericas\t1987\t74.63\t3444468\t12281.34191\nPuerto Rico\tAmericas\t1992\t73.911\t3585176\t14641.58711\nPuerto Rico\tAmericas\t1997\t74.917\t3759430\t16999.4333\nPuerto Rico\tAmericas\t2002\t77.778\t3859606\t18855.60618\nPuerto Rico\tAmericas\t2007\t78.746\t3942491\t19328.70901\nReunion\tAfrica\t1952\t52.724\t257700\t2718.885295\nReunion\tAfrica\t1957\t55.09\t308700\t2769.451844\nReunion\tAfrica\t1962\t57.666\t358900\t3173.72334\nReunion\tAfrica\t1967\t60.542\t414024\t4021.175739\nReunion\tAfrica\t1972\t64.274\t461633\t5047.658563\nReunion\tAfrica\t1977\t67.064\t492095\t4319.804067\nReunion\tAfrica\t1982\t69.885\t517810\t5267.219353\nReunion\tAfrica\t1987\t71.913\t562035\t5303.377488\nReunion\tAfrica\t1992\t73.615\t622191\t6101.255823\nReunion\tAfrica\t1997\t74.772\t684810\t6071.941411\nReunion\tAfrica\t2002\t75.744\t743981\t6316.1652\nReunion\tAfrica\t2007\t76.442\t798094\t7670.122558\nRomania\tEurope\t1952\t61.05\t16630000\t3144.613186\nRomania\tEurope\t1957\t64.1\t17829327\t3943.370225\nRomania\tEurope\t1962\t66.8\t18680721\t4734.997586\nRomania\tEurope\t1967\t66.8\t19284814\t6470.866545\nRomania\tEurope\t1972\t69.21\t20662648\t8011.414402\nRomania\tEurope\t1977\t69.46\t21658597\t9356.39724\nRomania\tEurope\t1982\t69.66\t22356726\t9605.314053\nRomania\tEurope\t1987\t69.53\t22686371\t9696.273295\nRomania\tEurope\t1992\t69.36\t22797027\t6598.409903\nRomania\tEurope\t1997\t69.72\t22562458\t7346.547557\nRomania\tEurope\t2002\t71.322\t22404337\t7885.360081\nRomania\tEurope\t2007\t72.476\t22276056\t10808.47561\nRwanda\tAfrica\t1952\t40\t2534927\t493.3238752\nRwanda\tAfrica\t1957\t41.5\t2822082\t540.2893983\nRwanda\tAfrica\t1962\t43\t3051242\t597.4730727\nRwanda\tAfrica\t1967\t44.1\t3451079\t510.9637142\nRwanda\tAfrica\t1972\t44.6\t3992121\t590.5806638\nRwanda\tAfrica\t1977\t45\t4657072\t670.0806011\nRwanda\tAfrica\t1982\t46.218\t5507565\t881.5706467\nRwanda\tAfrica\t1987\t44.02\t6349365\t847.991217\nRwanda\tAfrica\t1992\t23.599\t7290203\t737.0685949\nRwanda\tAfrica\t1997\t36.087\t7212583\t589.9445051\nRwanda\tAfrica\t2002\t43.413\t7852401\t785.6537648\nRwanda\tAfrica\t2007\t46.242\t8860588\t863.0884639\nSao Tome and Principe\tAfrica\t1952\t46.471\t60011\t879.5835855\nSao Tome and Principe\tAfrica\t1957\t48.945\t61325\t860.7369026\nSao Tome and Principe\tAfrica\t1962\t51.893\t65345\t1071.551119\nSao Tome and Principe\tAfrica\t1967\t54.425\t70787\t1384.840593\nSao Tome and Principe\tAfrica\t1972\t56.48\t76595\t1532.985254\nSao Tome and Principe\tAfrica\t1977\t58.55\t86796\t1737.561657\nSao Tome and Principe\tAfrica\t1982\t60.351\t98593\t1890.218117\nSao Tome and Principe\tAfrica\t1987\t61.728\t110812\t1516.525457\nSao Tome and Principe\tAfrica\t1992\t62.742\t125911\t1428.777814\nSao Tome and Principe\tAfrica\t1997\t63.306\t145608\t1339.076036\nSao Tome and Principe\tAfrica\t2002\t64.337\t170372\t1353.09239\nSao Tome and Principe\tAfrica\t2007\t65.528\t199579\t1598.435089\nSaudi Arabia\tAsia\t1952\t39.875\t4005677\t6459.554823\nSaudi Arabia\tAsia\t1957\t42.868\t4419650\t8157.591248\nSaudi Arabia\tAsia\t1962\t45.914\t4943029\t11626.41975\nSaudi Arabia\tAsia\t1967\t49.901\t5618198\t16903.04886\nSaudi Arabia\tAsia\t1972\t53.886\t6472756\t24837.42865\nSaudi Arabia\tAsia\t1977\t58.69\t8128505\t34167.7626\nSaudi Arabia\tAsia\t1982\t63.012\t11254672\t33693.17525\nSaudi Arabia\tAsia\t1987\t66.295\t14619745\t21198.26136\nSaudi Arabia\tAsia\t1992\t68.768\t16945857\t24841.61777\nSaudi Arabia\tAsia\t1997\t70.533\t21229759\t20586.69019\nSaudi Arabia\tAsia\t2002\t71.626\t24501530\t19014.54118\nSaudi Arabia\tAsia\t2007\t72.777\t27601038\t21654.83194\nSenegal\tAfrica\t1952\t37.278\t2755589\t1450.356983\nSenegal\tAfrica\t1957\t39.329\t3054547\t1567.653006\nSenegal\tAfrica\t1962\t41.454\t3430243\t1654.988723\nSenegal\tAfrica\t1967\t43.563\t3965841\t1612.404632\nSenegal\tAfrica\t1972\t45.815\t4588696\t1597.712056\nSenegal\tAfrica\t1977\t48.879\t5260855\t1561.769116\nSenegal\tAfrica\t1982\t52.379\t6147783\t1518.479984\nSenegal\tAfrica\t1987\t55.769\t7171347\t1441.72072\nSenegal\tAfrica\t1992\t58.196\t8307920\t1367.899369\nSenegal\tAfrica\t1997\t60.187\t9535314\t1392.368347\nSenegal\tAfrica\t2002\t61.6\t10870037\t1519.635262\nSenegal\tAfrica\t2007\t63.062\t12267493\t1712.472136\nSerbia\tEurope\t1952\t57.996\t6860147\t3581.459448\nSerbia\tEurope\t1957\t61.685\t7271135\t4981.090891\nSerbia\tEurope\t1962\t64.531\t7616060\t6289.629157\nSerbia\tEurope\t1967\t66.914\t7971222\t7991.707066\nSerbia\tEurope\t1972\t68.7\t8313288\t10522.06749\nSerbia\tEurope\t1977\t70.3\t8686367\t12980.66956\nSerbia\tEurope\t1982\t70.162\t9032824\t15181.0927\nSerbia\tEurope\t1987\t71.218\t9230783\t15870.87851\nSerbia\tEurope\t1992\t71.659\t9826397\t9325.068238\nSerbia\tEurope\t1997\t72.232\t10336594\t7914.320304\nSerbia\tEurope\t2002\t73.213\t10111559\t7236.075251\nSerbia\tEurope\t2007\t74.002\t10150265\t9786.534714\nSierra Leone\tAfrica\t1952\t30.331\t2143249\t879.7877358\nSierra Leone\tAfrica\t1957\t31.57\t2295678\t1004.484437\nSierra Leone\tAfrica\t1962\t32.767\t2467895\t1116.639877\nSierra Leone\tAfrica\t1967\t34.113\t2662190\t1206.043465\nSierra Leone\tAfrica\t1972\t35.4\t2879013\t1353.759762\nSierra Leone\tAfrica\t1977\t36.788\t3140897\t1348.285159\nSierra Leone\tAfrica\t1982\t38.445\t3464522\t1465.010784\nSierra Leone\tAfrica\t1987\t40.006\t3868905\t1294.447788\nSierra Leone\tAfrica\t1992\t38.333\t4260884\t1068.696278\nSierra Leone\tAfrica\t1997\t39.897\t4578212\t574.6481576\nSierra Leone\tAfrica\t2002\t41.012\t5359092\t699.489713\nSierra Leone\tAfrica\t2007\t42.568\t6144562\t862.5407561\nSingapore\tAsia\t1952\t60.396\t1127000\t2315.138227\nSingapore\tAsia\t1957\t63.179\t1445929\t2843.104409\nSingapore\tAsia\t1962\t65.798\t1750200\t3674.735572\nSingapore\tAsia\t1967\t67.946\t1977600\t4977.41854\nSingapore\tAsia\t1972\t69.521\t2152400\t8597.756202\nSingapore\tAsia\t1977\t70.795\t2325300\t11210.08948\nSingapore\tAsia\t1982\t71.76\t2651869\t15169.16112\nSingapore\tAsia\t1987\t73.56\t2794552\t18861.53081\nSingapore\tAsia\t1992\t75.788\t3235865\t24769.8912\nSingapore\tAsia\t1997\t77.158\t3802309\t33519.4766\nSingapore\tAsia\t2002\t78.77\t4197776\t36023.1054\nSingapore\tAsia\t2007\t79.972\t4553009\t47143.17964\nSlovak Republic\tEurope\t1952\t64.36\t3558137\t5074.659104\nSlovak Republic\tEurope\t1957\t67.45\t3844277\t6093.26298\nSlovak Republic\tEurope\t1962\t70.33\t4237384\t7481.107598\nSlovak Republic\tEurope\t1967\t70.98\t4442238\t8412.902397\nSlovak Republic\tEurope\t1972\t70.35\t4593433\t9674.167626\nSlovak Republic\tEurope\t1977\t70.45\t4827803\t10922.66404\nSlovak Republic\tEurope\t1982\t70.8\t5048043\t11348.54585\nSlovak Republic\tEurope\t1987\t71.08\t5199318\t12037.26758\nSlovak Republic\tEurope\t1992\t71.38\t5302888\t9498.467723\nSlovak Republic\tEurope\t1997\t72.71\t5383010\t12126.23065\nSlovak Republic\tEurope\t2002\t73.8\t5410052\t13638.77837\nSlovak Republic\tEurope\t2007\t74.663\t5447502\t18678.31435\nSlovenia\tEurope\t1952\t65.57\t1489518\t4215.041741\nSlovenia\tEurope\t1957\t67.85\t1533070\t5862.276629\nSlovenia\tEurope\t1962\t69.15\t1582962\t7402.303395\nSlovenia\tEurope\t1967\t69.18\t1646912\t9405.489397\nSlovenia\tEurope\t1972\t69.82\t1694510\t12383.4862\nSlovenia\tEurope\t1977\t70.97\t1746919\t15277.03017\nSlovenia\tEurope\t1982\t71.063\t1861252\t17866.72175\nSlovenia\tEurope\t1987\t72.25\t1945870\t18678.53492\nSlovenia\tEurope\t1992\t73.64\t1999210\t14214.71681\nSlovenia\tEurope\t1997\t75.13\t2011612\t17161.10735\nSlovenia\tEurope\t2002\t76.66\t2011497\t20660.01936\nSlovenia\tEurope\t2007\t77.926\t2009245\t25768.25759\nSomalia\tAfrica\t1952\t32.978\t2526994\t1135.749842\nSomalia\tAfrica\t1957\t34.977\t2780415\t1258.147413\nSomalia\tAfrica\t1962\t36.981\t3080153\t1369.488336\nSomalia\tAfrica\t1967\t38.977\t3428839\t1284.73318\nSomalia\tAfrica\t1972\t40.973\t3840161\t1254.576127\nSomalia\tAfrica\t1977\t41.974\t4353666\t1450.992513\nSomalia\tAfrica\t1982\t42.955\t5828892\t1176.807031\nSomalia\tAfrica\t1987\t44.501\t6921858\t1093.244963\nSomalia\tAfrica\t1992\t39.658\t6099799\t926.9602964\nSomalia\tAfrica\t1997\t43.795\t6633514\t930.5964284\nSomalia\tAfrica\t2002\t45.936\t7753310\t882.0818218\nSomalia\tAfrica\t2007\t48.159\t9118773\t926.1410683\nSouth Africa\tAfrica\t1952\t45.009\t14264935\t4725.295531\nSouth Africa\tAfrica\t1957\t47.985\t16151549\t5487.104219\nSouth Africa\tAfrica\t1962\t49.951\t18356657\t5768.729717\nSouth Africa\tAfrica\t1967\t51.927\t20997321\t7114.477971\nSouth Africa\tAfrica\t1972\t53.696\t23935810\t7765.962636\nSouth Africa\tAfrica\t1977\t55.527\t27129932\t8028.651439\nSouth Africa\tAfrica\t1982\t58.161\t31140029\t8568.266228\nSouth Africa\tAfrica\t1987\t60.834\t35933379\t7825.823398\nSouth Africa\tAfrica\t1992\t61.888\t39964159\t7225.069258\nSouth Africa\tAfrica\t1997\t60.236\t42835005\t7479.188244\nSouth Africa\tAfrica\t2002\t53.365\t44433622\t7710.946444\nSouth Africa\tAfrica\t2007\t49.339\t43997828\t9269.657808\nSpain\tEurope\t1952\t64.94\t28549870\t3834.034742\nSpain\tEurope\t1957\t66.66\t29841614\t4564.80241\nSpain\tEurope\t1962\t69.69\t31158061\t5693.843879\nSpain\tEurope\t1967\t71.44\t32850275\t7993.512294\nSpain\tEurope\t1972\t73.06\t34513161\t10638.75131\nSpain\tEurope\t1977\t74.39\t36439000\t13236.92117\nSpain\tEurope\t1982\t76.3\t37983310\t13926.16997\nSpain\tEurope\t1987\t76.9\t38880702\t15764.98313\nSpain\tEurope\t1992\t77.57\t39549438\t18603.06452\nSpain\tEurope\t1997\t78.77\t39855442\t20445.29896\nSpain\tEurope\t2002\t79.78\t40152517\t24835.47166\nSpain\tEurope\t2007\t80.941\t40448191\t28821.0637\nSri Lanka\tAsia\t1952\t57.593\t7982342\t1083.53203\nSri Lanka\tAsia\t1957\t61.456\t9128546\t1072.546602\nSri Lanka\tAsia\t1962\t62.192\t10421936\t1074.47196\nSri Lanka\tAsia\t1967\t64.266\t11737396\t1135.514326\nSri Lanka\tAsia\t1972\t65.042\t13016733\t1213.39553\nSri Lanka\tAsia\t1977\t65.949\t14116836\t1348.775651\nSri Lanka\tAsia\t1982\t68.757\t15410151\t1648.079789\nSri Lanka\tAsia\t1987\t69.011\t16495304\t1876.766827\nSri Lanka\tAsia\t1992\t70.379\t17587060\t2153.739222\nSri Lanka\tAsia\t1997\t70.457\t18698655\t2664.477257\nSri Lanka\tAsia\t2002\t70.815\t19576783\t3015.378833\nSri Lanka\tAsia\t2007\t72.396\t20378239\t3970.095407\nSudan\tAfrica\t1952\t38.635\t8504667\t1615.991129\nSudan\tAfrica\t1957\t39.624\t9753392\t1770.337074\nSudan\tAfrica\t1962\t40.87\t11183227\t1959.593767\nSudan\tAfrica\t1967\t42.858\t12716129\t1687.997641\nSudan\tAfrica\t1972\t45.083\t14597019\t1659.652775\nSudan\tAfrica\t1977\t47.8\t17104986\t2202.988423\nSudan\tAfrica\t1982\t50.338\t20367053\t1895.544073\nSudan\tAfrica\t1987\t51.744\t24725960\t1507.819159\nSudan\tAfrica\t1992\t53.556\t28227588\t1492.197043\nSudan\tAfrica\t1997\t55.373\t32160729\t1632.210764\nSudan\tAfrica\t2002\t56.369\t37090298\t1993.398314\nSudan\tAfrica\t2007\t58.556\t42292929\t2602.394995\nSwaziland\tAfrica\t1952\t41.407\t290243\t1148.376626\nSwaziland\tAfrica\t1957\t43.424\t326741\t1244.708364\nSwaziland\tAfrica\t1962\t44.992\t370006\t1856.182125\nSwaziland\tAfrica\t1967\t46.633\t420690\t2613.101665\nSwaziland\tAfrica\t1972\t49.552\t480105\t3364.836625\nSwaziland\tAfrica\t1977\t52.537\t551425\t3781.410618\nSwaziland\tAfrica\t1982\t55.561\t649901\t3895.384018\nSwaziland\tAfrica\t1987\t57.678\t779348\t3984.839812\nSwaziland\tAfrica\t1992\t58.474\t962344\t3553.0224\nSwaziland\tAfrica\t1997\t54.289\t1054486\t3876.76846\nSwaziland\tAfrica\t2002\t43.869\t1130269\t4128.116943\nSwaziland\tAfrica\t2007\t39.613\t1133066\t4513.480643\nSweden\tEurope\t1952\t71.86\t7124673\t8527.844662\nSweden\tEurope\t1957\t72.49\t7363802\t9911.878226\nSweden\tEurope\t1962\t73.37\t7561588\t12329.44192\nSweden\tEurope\t1967\t74.16\t7867931\t15258.29697\nSweden\tEurope\t1972\t74.72\t8122293\t17832.02464\nSweden\tEurope\t1977\t75.44\t8251648\t18855.72521\nSweden\tEurope\t1982\t76.42\t8325260\t20667.38125\nSweden\tEurope\t1987\t77.19\t8421403\t23586.92927\nSweden\tEurope\t1992\t78.16\t8718867\t23880.01683\nSweden\tEurope\t1997\t79.39\t8897619\t25266.59499\nSweden\tEurope\t2002\t80.04\t8954175\t29341.63093\nSweden\tEurope\t2007\t80.884\t9031088\t33859.74835\nSwitzerland\tEurope\t1952\t69.62\t4815000\t14734.23275\nSwitzerland\tEurope\t1957\t70.56\t5126000\t17909.48973\nSwitzerland\tEurope\t1962\t71.32\t5666000\t20431.0927\nSwitzerland\tEurope\t1967\t72.77\t6063000\t22966.14432\nSwitzerland\tEurope\t1972\t73.78\t6401400\t27195.11304\nSwitzerland\tEurope\t1977\t75.39\t6316424\t26982.29052\nSwitzerland\tEurope\t1982\t76.21\t6468126\t28397.71512\nSwitzerland\tEurope\t1987\t77.41\t6649942\t30281.70459\nSwitzerland\tEurope\t1992\t78.03\t6995447\t31871.5303\nSwitzerland\tEurope\t1997\t79.37\t7193761\t32135.32301\nSwitzerland\tEurope\t2002\t80.62\t7361757\t34480.95771\nSwitzerland\tEurope\t2007\t81.701\t7554661\t37506.41907\nSyria\tAsia\t1952\t45.883\t3661549\t1643.485354\nSyria\tAsia\t1957\t48.284\t4149908\t2117.234893\nSyria\tAsia\t1962\t50.305\t4834621\t2193.037133\nSyria\tAsia\t1967\t53.655\t5680812\t1881.923632\nSyria\tAsia\t1972\t57.296\t6701172\t2571.423014\nSyria\tAsia\t1977\t61.195\t7932503\t3195.484582\nSyria\tAsia\t1982\t64.59\t9410494\t3761.837715\nSyria\tAsia\t1987\t66.974\t11242847\t3116.774285\nSyria\tAsia\t1992\t69.249\t13219062\t3340.542768\nSyria\tAsia\t1997\t71.527\t15081016\t4014.238972\nSyria\tAsia\t2002\t73.053\t17155814\t4090.925331\nSyria\tAsia\t2007\t74.143\t19314747\t4184.548089\nTaiwan\tAsia\t1952\t58.5\t8550362\t1206.947913\nTaiwan\tAsia\t1957\t62.4\t10164215\t1507.86129\nTaiwan\tAsia\t1962\t65.2\t11918938\t1822.879028\nTaiwan\tAsia\t1967\t67.5\t13648692\t2643.858681\nTaiwan\tAsia\t1972\t69.39\t15226039\t4062.523897\nTaiwan\tAsia\t1977\t70.59\t16785196\t5596.519826\nTaiwan\tAsia\t1982\t72.16\t18501390\t7426.354774\nTaiwan\tAsia\t1987\t73.4\t19757799\t11054.56175\nTaiwan\tAsia\t1992\t74.26\t20686918\t15215.6579\nTaiwan\tAsia\t1997\t75.25\t21628605\t20206.82098\nTaiwan\tAsia\t2002\t76.99\t22454239\t23235.42329\nTaiwan\tAsia\t2007\t78.4\t23174294\t28718.27684\nTanzania\tAfrica\t1952\t41.215\t8322925\t716.6500721\nTanzania\tAfrica\t1957\t42.974\t9452826\t698.5356073\nTanzania\tAfrica\t1962\t44.246\t10863958\t722.0038073\nTanzania\tAfrica\t1967\t45.757\t12607312\t848.2186575\nTanzania\tAfrica\t1972\t47.62\t14706593\t915.9850592\nTanzania\tAfrica\t1977\t49.919\t17129565\t962.4922932\nTanzania\tAfrica\t1982\t50.608\t19844382\t874.2426069\nTanzania\tAfrica\t1987\t51.535\t23040630\t831.8220794\nTanzania\tAfrica\t1992\t50.44\t26605473\t825.682454\nTanzania\tAfrica\t1997\t48.466\t30686889\t789.1862231\nTanzania\tAfrica\t2002\t49.651\t34593779\t899.0742111\nTanzania\tAfrica\t2007\t52.517\t38139640\t1107.482182\nThailand\tAsia\t1952\t50.848\t21289402\t757.7974177\nThailand\tAsia\t1957\t53.63\t25041917\t793.5774148\nThailand\tAsia\t1962\t56.061\t29263397\t1002.199172\nThailand\tAsia\t1967\t58.285\t34024249\t1295.46066\nThailand\tAsia\t1972\t60.405\t39276153\t1524.358936\nThailand\tAsia\t1977\t62.494\t44148285\t1961.224635\nThailand\tAsia\t1982\t64.597\t48827160\t2393.219781\nThailand\tAsia\t1987\t66.084\t52910342\t2982.653773\nThailand\tAsia\t1992\t67.298\t56667095\t4616.896545\nThailand\tAsia\t1997\t67.521\t60216677\t5852.625497\nThailand\tAsia\t2002\t68.564\t62806748\t5913.187529\nThailand\tAsia\t2007\t70.616\t65068149\t7458.396327\nTogo\tAfrica\t1952\t38.596\t1219113\t859.8086567\nTogo\tAfrica\t1957\t41.208\t1357445\t925.9083202\nTogo\tAfrica\t1962\t43.922\t1528098\t1067.53481\nTogo\tAfrica\t1967\t46.769\t1735550\t1477.59676\nTogo\tAfrica\t1972\t49.759\t2056351\t1649.660188\nTogo\tAfrica\t1977\t52.887\t2308582\t1532.776998\nTogo\tAfrica\t1982\t55.471\t2644765\t1344.577953\nTogo\tAfrica\t1987\t56.941\t3154264\t1202.201361\nTogo\tAfrica\t1992\t58.061\t3747553\t1034.298904\nTogo\tAfrica\t1997\t58.39\t4320890\t982.2869243\nTogo\tAfrica\t2002\t57.561\t4977378\t886.2205765\nTogo\tAfrica\t2007\t58.42\t5701579\t882.9699438\nTrinidad and Tobago\tAmericas\t1952\t59.1\t662850\t3023.271928\nTrinidad and Tobago\tAmericas\t1957\t61.8\t764900\t4100.3934\nTrinidad and Tobago\tAmericas\t1962\t64.9\t887498\t4997.523971\nTrinidad and Tobago\tAmericas\t1967\t65.4\t960155\t5621.368472\nTrinidad and Tobago\tAmericas\t1972\t65.9\t975199\t6619.551419\nTrinidad and Tobago\tAmericas\t1977\t68.3\t1039009\t7899.554209\nTrinidad and Tobago\tAmericas\t1982\t68.832\t1116479\t9119.528607\nTrinidad and Tobago\tAmericas\t1987\t69.582\t1191336\t7388.597823\nTrinidad and Tobago\tAmericas\t1992\t69.862\t1183669\t7370.990932\nTrinidad and Tobago\tAmericas\t1997\t69.465\t1138101\t8792.573126\nTrinidad and Tobago\tAmericas\t2002\t68.976\t1101832\t11460.60023\nTrinidad and Tobago\tAmericas\t2007\t69.819\t1056608\t18008.50924\nTunisia\tAfrica\t1952\t44.6\t3647735\t1468.475631\nTunisia\tAfrica\t1957\t47.1\t3950849\t1395.232468\nTunisia\tAfrica\t1962\t49.579\t4286552\t1660.30321\nTunisia\tAfrica\t1967\t52.053\t4786986\t1932.360167\nTunisia\tAfrica\t1972\t55.602\t5303507\t2753.285994\nTunisia\tAfrica\t1977\t59.837\t6005061\t3120.876811\nTunisia\tAfrica\t1982\t64.048\t6734098\t3560.233174\nTunisia\tAfrica\t1987\t66.894\t7724976\t3810.419296\nTunisia\tAfrica\t1992\t70.001\t8523077\t4332.720164\nTunisia\tAfrica\t1997\t71.973\t9231669\t4876.798614\nTunisia\tAfrica\t2002\t73.042\t9770575\t5722.895655\nTunisia\tAfrica\t2007\t73.923\t10276158\t7092.923025\nTurkey\tEurope\t1952\t43.585\t22235677\t1969.10098\nTurkey\tEurope\t1957\t48.079\t25670939\t2218.754257\nTurkey\tEurope\t1962\t52.098\t29788695\t2322.869908\nTurkey\tEurope\t1967\t54.336\t33411317\t2826.356387\nTurkey\tEurope\t1972\t57.005\t37492953\t3450.69638\nTurkey\tEurope\t1977\t59.507\t42404033\t4269.122326\nTurkey\tEurope\t1982\t61.036\t47328791\t4241.356344\nTurkey\tEurope\t1987\t63.108\t52881328\t5089.043686\nTurkey\tEurope\t1992\t66.146\t58179144\t5678.348271\nTurkey\tEurope\t1997\t68.835\t63047647\t6601.429915\nTurkey\tEurope\t2002\t70.845\t67308928\t6508.085718\nTurkey\tEurope\t2007\t71.777\t71158647\t8458.276384\nUganda\tAfrica\t1952\t39.978\t5824797\t734.753484\nUganda\tAfrica\t1957\t42.571\t6675501\t774.3710692\nUganda\tAfrica\t1962\t45.344\t7688797\t767.2717398\nUganda\tAfrica\t1967\t48.051\t8900294\t908.9185217\nUganda\tAfrica\t1972\t51.016\t10190285\t950.735869\nUganda\tAfrica\t1977\t50.35\t11457758\t843.7331372\nUganda\tAfrica\t1982\t49.849\t12939400\t682.2662268\nUganda\tAfrica\t1987\t51.509\t15283050\t617.7244065\nUganda\tAfrica\t1992\t48.825\t18252190\t644.1707969\nUganda\tAfrica\t1997\t44.578\t21210254\t816.559081\nUganda\tAfrica\t2002\t47.813\t24739869\t927.7210018\nUganda\tAfrica\t2007\t51.542\t29170398\t1056.380121\nUnited Kingdom\tEurope\t1952\t69.18\t50430000\t9979.508487\nUnited Kingdom\tEurope\t1957\t70.42\t51430000\t11283.17795\nUnited Kingdom\tEurope\t1962\t70.76\t53292000\t12477.17707\nUnited Kingdom\tEurope\t1967\t71.36\t54959000\t14142.85089\nUnited Kingdom\tEurope\t1972\t72.01\t56079000\t15895.11641\nUnited Kingdom\tEurope\t1977\t72.76\t56179000\t17428.74846\nUnited Kingdom\tEurope\t1982\t74.04\t56339704\t18232.42452\nUnited Kingdom\tEurope\t1987\t75.007\t56981620\t21664.78767\nUnited Kingdom\tEurope\t1992\t76.42\t57866349\t22705.09254\nUnited Kingdom\tEurope\t1997\t77.218\t58808266\t26074.53136\nUnited Kingdom\tEurope\t2002\t78.471\t59912431\t29478.99919\nUnited Kingdom\tEurope\t2007\t79.425\t60776238\t33203.26128\nUnited States\tAmericas\t1952\t68.44\t157553000\t13990.48208\nUnited States\tAmericas\t1957\t69.49\t171984000\t14847.12712\nUnited States\tAmericas\t1962\t70.21\t186538000\t16173.14586\nUnited States\tAmericas\t1967\t70.76\t198712000\t19530.36557\nUnited States\tAmericas\t1972\t71.34\t209896000\t21806.03594\nUnited States\tAmericas\t1977\t73.38\t220239000\t24072.63213\nUnited States\tAmericas\t1982\t74.65\t232187835\t25009.55914\nUnited States\tAmericas\t1987\t75.02\t242803533\t29884.35041\nUnited States\tAmericas\t1992\t76.09\t256894189\t32003.93224\nUnited States\tAmericas\t1997\t76.81\t272911760\t35767.43303\nUnited States\tAmericas\t2002\t77.31\t287675526\t39097.09955\nUnited States\tAmericas\t2007\t78.242\t301139947\t42951.65309\nUruguay\tAmericas\t1952\t66.071\t2252965\t5716.766744\nUruguay\tAmericas\t1957\t67.044\t2424959\t6150.772969\nUruguay\tAmericas\t1962\t68.253\t2598466\t5603.357717\nUruguay\tAmericas\t1967\t68.468\t2748579\t5444.61962\nUruguay\tAmericas\t1972\t68.673\t2829526\t5703.408898\nUruguay\tAmericas\t1977\t69.481\t2873520\t6504.339663\nUruguay\tAmericas\t1982\t70.805\t2953997\t6920.223051\nUruguay\tAmericas\t1987\t71.918\t3045153\t7452.398969\nUruguay\tAmericas\t1992\t72.752\t3149262\t8137.004775\nUruguay\tAmericas\t1997\t74.223\t3262838\t9230.240708\nUruguay\tAmericas\t2002\t75.307\t3363085\t7727.002004\nUruguay\tAmericas\t2007\t76.384\t3447496\t10611.46299\nVenezuela\tAmericas\t1952\t55.088\t5439568\t7689.799761\nVenezuela\tAmericas\t1957\t57.907\t6702668\t9802.466526\nVenezuela\tAmericas\t1962\t60.77\t8143375\t8422.974165\nVenezuela\tAmericas\t1967\t63.479\t9709552\t9541.474188\nVenezuela\tAmericas\t1972\t65.712\t11515649\t10505.25966\nVenezuela\tAmericas\t1977\t67.456\t13503563\t13143.95095\nVenezuela\tAmericas\t1982\t68.557\t15620766\t11152.41011\nVenezuela\tAmericas\t1987\t70.19\t17910182\t9883.584648\nVenezuela\tAmericas\t1992\t71.15\t20265563\t10733.92631\nVenezuela\tAmericas\t1997\t72.146\t22374398\t10165.49518\nVenezuela\tAmericas\t2002\t72.766\t24287670\t8605.047831\nVenezuela\tAmericas\t2007\t73.747\t26084662\t11415.80569\nVietnam\tAsia\t1952\t40.412\t26246839\t605.0664917\nVietnam\tAsia\t1957\t42.887\t28998543\t676.2854478\nVietnam\tAsia\t1962\t45.363\t33796140\t772.0491602\nVietnam\tAsia\t1967\t47.838\t39463910\t637.1232887\nVietnam\tAsia\t1972\t50.254\t44655014\t699.5016441\nVietnam\tAsia\t1977\t55.764\t50533506\t713.5371196\nVietnam\tAsia\t1982\t58.816\t56142181\t707.2357863\nVietnam\tAsia\t1987\t62.82\t62826491\t820.7994449\nVietnam\tAsia\t1992\t67.662\t69940728\t989.0231487\nVietnam\tAsia\t1997\t70.672\t76048996\t1385.896769\nVietnam\tAsia\t2002\t73.017\t80908147\t1764.456677\nVietnam\tAsia\t2007\t74.249\t85262356\t2441.576404\nWest Bank and Gaza\tAsia\t1952\t43.16\t1030585\t1515.592329\nWest Bank and Gaza\tAsia\t1957\t45.671\t1070439\t1827.067742\nWest Bank and Gaza\tAsia\t1962\t48.127\t1133134\t2198.956312\nWest Bank and Gaza\tAsia\t1967\t51.631\t1142636\t2649.715007\nWest Bank and Gaza\tAsia\t1972\t56.532\t1089572\t3133.409277\nWest Bank and Gaza\tAsia\t1977\t60.765\t1261091\t3682.831494\nWest Bank and Gaza\tAsia\t1982\t64.406\t1425876\t4336.032082\nWest Bank and Gaza\tAsia\t1987\t67.046\t1691210\t5107.197384\nWest Bank and Gaza\tAsia\t1992\t69.718\t2104779\t6017.654756\nWest Bank and Gaza\tAsia\t1997\t71.096\t2826046\t7110.667619\nWest Bank and Gaza\tAsia\t2002\t72.37\t3389578\t4515.487575\nWest Bank and Gaza\tAsia\t2007\t73.422\t4018332\t3025.349798\nYemen, Rep.\tAsia\t1952\t32.548\t4963829\t781.7175761\nYemen, Rep.\tAsia\t1957\t33.97\t5498090\t804.8304547\nYemen, Rep.\tAsia\t1962\t35.18\t6120081\t825.6232006\nYemen, Rep.\tAsia\t1967\t36.984\t6740785\t862.4421463\nYemen, Rep.\tAsia\t1972\t39.848\t7407075\t1265.047031\nYemen, Rep.\tAsia\t1977\t44.175\t8403990\t1829.765177\nYemen, Rep.\tAsia\t1982\t49.113\t9657618\t1977.55701\nYemen, Rep.\tAsia\t1987\t52.922\t11219340\t1971.741538\nYemen, Rep.\tAsia\t1992\t55.599\t13367997\t1879.496673\nYemen, Rep.\tAsia\t1997\t58.02\t15826497\t2117.484526\nYemen, Rep.\tAsia\t2002\t60.308\t18701257\t2234.820827\nYemen, Rep.\tAsia\t2007\t62.698\t22211743\t2280.769906\nZambia\tAfrica\t1952\t42.038\t2672000\t1147.388831\nZambia\tAfrica\t1957\t44.077\t3016000\t1311.956766\nZambia\tAfrica\t1962\t46.023\t3421000\t1452.725766\nZambia\tAfrica\t1967\t47.768\t3900000\t1777.077318\nZambia\tAfrica\t1972\t50.107\t4506497\t1773.498265\nZambia\tAfrica\t1977\t51.386\t5216550\t1588.688299\nZambia\tAfrica\t1982\t51.821\t6100407\t1408.678565\nZambia\tAfrica\t1987\t50.821\t7272406\t1213.315116\nZambia\tAfrica\t1992\t46.1\t8381163\t1210.884633\nZambia\tAfrica\t1997\t40.238\t9417789\t1071.353818\nZambia\tAfrica\t2002\t39.193\t10595811\t1071.613938\nZambia\tAfrica\t2007\t42.384\t11746035\t1271.211593\nZimbabwe\tAfrica\t1952\t48.451\t3080907\t406.8841148\nZimbabwe\tAfrica\t1957\t50.469\t3646340\t518.7642681\nZimbabwe\tAfrica\t1962\t52.358\t4277736\t527.2721818\nZimbabwe\tAfrica\t1967\t53.995\t4995432\t569.7950712\nZimbabwe\tAfrica\t1972\t55.635\t5861135\t799.3621758\nZimbabwe\tAfrica\t1977\t57.674\t6642107\t685.5876821\nZimbabwe\tAfrica\t1982\t60.363\t7636524\t788.8550411\nZimbabwe\tAfrica\t1987\t62.351\t9216418\t706.1573059\nZimbabwe\tAfrica\t1992\t60.377\t10704340\t693.4207856\nZimbabwe\tAfrica\t1997\t46.809\t11404948\t792.4499603\nZimbabwe\tAfrica\t2002\t39.989\t11926563\t672.0386227\nZimbabwe\tAfrica\t2007\t43.487\t12311143\t469.7092981\n"
  },
  {
    "path": "data/intro.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import pandas\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"df = pandas.read_csv('./gapminder.tsv', sep='\\\\t')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>country</th>\\n\",\n       \"      <th>continent</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>lifeExp</th>\\n\",\n       \"      <th>pop</th>\\n\",\n       \"      <th>gdpPercap</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1952</td>\\n\",\n       \"      <td>28.801</td>\\n\",\n       \"      <td>8425333</td>\\n\",\n       \"      <td>779.445314</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1957</td>\\n\",\n       \"      <td>30.332</td>\\n\",\n       \"      <td>9240934</td>\\n\",\n       \"      <td>820.853030</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1962</td>\\n\",\n       \"      <td>31.997</td>\\n\",\n       \"      <td>10267083</td>\\n\",\n       \"      <td>853.100710</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>34.020</td>\\n\",\n       \"      <td>11537966</td>\\n\",\n       \"      <td>836.197138</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1972</td>\\n\",\n       \"      <td>36.088</td>\\n\",\n       \"      <td>13079460</td>\\n\",\n       \"      <td>739.981106</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"       country continent  year  lifeExp       pop   gdpPercap\\n\",\n       \"0  Afghanistan      Asia  1952   28.801   8425333  779.445314\\n\",\n       \"1  Afghanistan      Asia  1957   30.332   9240934  820.853030\\n\",\n       \"2  Afghanistan      Asia  1962   31.997  10267083  853.100710\\n\",\n       \"3  Afghanistan      Asia  1967   34.020  11537966  836.197138\\n\",\n       \"4  Afghanistan      Asia  1972   36.088  13079460  739.981106\"\n      ]\n     },\n     \"execution_count\": 5,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Index(['country', 'continent', 'year', 'lifeExp', 'pop', 'gdpPercap'], dtype='object')\"\n      ]\n     },\n     \"execution_count\": 6,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.columns\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"RangeIndex(start=0, stop=1704, step=1)\"\n      ]\n     },\n     \"execution_count\": 7,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.index\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([['Afghanistan', 'Asia', 1952, 28.801, 8425333, 779.4453145],\\n\",\n       \"       ['Afghanistan', 'Asia', 1957, 30.331999999999997, 9240934,\\n\",\n       \"        820.8530296],\\n\",\n       \"       ['Afghanistan', 'Asia', 1962, 31.997, 10267083, 853.1007099999999],\\n\",\n       \"       ...,\\n\",\n       \"       ['Zimbabwe', 'Africa', 1997, 46.809, 11404948, 792.4499602999999],\\n\",\n       \"       ['Zimbabwe', 'Africa', 2002, 39.989000000000004, 11926563,\\n\",\n       \"        672.0386227000001],\\n\",\n       \"       ['Zimbabwe', 'Africa', 2007, 43.486999999999995, 12311143,\\n\",\n       \"        469.70929810000007]], dtype=object)\"\n      ]\n     },\n     \"execution_count\": 8,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.values\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"pandas.core.frame.DataFrame\"\n      ]\n     },\n     \"execution_count\": 9,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(df)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(1704, 6)\"\n      ]\n     },\n     \"execution_count\": 10,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"ename\": \"TypeError\",\n     \"evalue\": \"'tuple' object is not callable\",\n     \"output_type\": \"error\",\n     \"traceback\": [\n      \"\\u001b[0;31m---------------------------------------------------------------------------\\u001b[0m\",\n      \"\\u001b[0;31mTypeError\\u001b[0m                                 Traceback (most recent call last)\",\n      \"\\u001b[0;32m<ipython-input-11-0e566b70f572>\\u001b[0m in \\u001b[0;36m<module>\\u001b[0;34m()\\u001b[0m\\n\\u001b[0;32m----> 1\\u001b[0;31m \\u001b[0mdf\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0mshape\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0m\",\n      \"\\u001b[0;31mTypeError\\u001b[0m: 'tuple' object is not callable\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"df.shape()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"<class 'pandas.core.frame.DataFrame'>\\n\",\n      \"RangeIndex: 1704 entries, 0 to 1703\\n\",\n      \"Data columns (total 6 columns):\\n\",\n      \"country      1704 non-null object\\n\",\n      \"continent    1704 non-null object\\n\",\n      \"year         1704 non-null int64\\n\",\n      \"lifeExp      1704 non-null float64\\n\",\n      \"pop          1704 non-null int64\\n\",\n      \"gdpPercap    1704 non-null float64\\n\",\n      \"dtypes: float64(2), int64(2), object(2)\\n\",\n      \"memory usage: 80.0+ KB\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"df.info()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0       Afghanistan\\n\",\n       \"1       Afghanistan\\n\",\n       \"2       Afghanistan\\n\",\n       \"3       Afghanistan\\n\",\n       \"4       Afghanistan\\n\",\n       \"5       Afghanistan\\n\",\n       \"6       Afghanistan\\n\",\n       \"7       Afghanistan\\n\",\n       \"8       Afghanistan\\n\",\n       \"9       Afghanistan\\n\",\n       \"10      Afghanistan\\n\",\n       \"11      Afghanistan\\n\",\n       \"12          Albania\\n\",\n       \"13          Albania\\n\",\n       \"14          Albania\\n\",\n       \"15          Albania\\n\",\n       \"16          Albania\\n\",\n       \"17          Albania\\n\",\n       \"18          Albania\\n\",\n       \"19          Albania\\n\",\n       \"20          Albania\\n\",\n       \"21          Albania\\n\",\n       \"22          Albania\\n\",\n       \"23          Albania\\n\",\n       \"24          Algeria\\n\",\n       \"25          Algeria\\n\",\n       \"26          Algeria\\n\",\n       \"27          Algeria\\n\",\n       \"28          Algeria\\n\",\n       \"29          Algeria\\n\",\n       \"           ...     \\n\",\n       \"1674    Yemen, Rep.\\n\",\n       \"1675    Yemen, Rep.\\n\",\n       \"1676    Yemen, Rep.\\n\",\n       \"1677    Yemen, Rep.\\n\",\n       \"1678    Yemen, Rep.\\n\",\n       \"1679    Yemen, Rep.\\n\",\n       \"1680         Zambia\\n\",\n       \"1681         Zambia\\n\",\n       \"1682         Zambia\\n\",\n       \"1683         Zambia\\n\",\n       \"1684         Zambia\\n\",\n       \"1685         Zambia\\n\",\n       \"1686         Zambia\\n\",\n       \"1687         Zambia\\n\",\n       \"1688         Zambia\\n\",\n       \"1689         Zambia\\n\",\n       \"1690         Zambia\\n\",\n       \"1691         Zambia\\n\",\n       \"1692       Zimbabwe\\n\",\n       \"1693       Zimbabwe\\n\",\n       \"1694       Zimbabwe\\n\",\n       \"1695       Zimbabwe\\n\",\n       \"1696       Zimbabwe\\n\",\n       \"1697       Zimbabwe\\n\",\n       \"1698       Zimbabwe\\n\",\n       \"1699       Zimbabwe\\n\",\n       \"1700       Zimbabwe\\n\",\n       \"1701       Zimbabwe\\n\",\n       \"1702       Zimbabwe\\n\",\n       \"1703       Zimbabwe\\n\",\n       \"Name: country, Length: 1704, dtype: object\"\n      ]\n     },\n     \"execution_count\": 13,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df['country']\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"country_df = df['country']\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0    Afghanistan\\n\",\n       \"1    Afghanistan\\n\",\n       \"2    Afghanistan\\n\",\n       \"3    Afghanistan\\n\",\n       \"4    Afghanistan\\n\",\n       \"Name: country, dtype: object\"\n      ]\n     },\n     \"execution_count\": 15,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"country_df.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"pandas.core.series.Series\"\n      ]\n     },\n     \"execution_count\": 16,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(country_df)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"subset = df[['country', 'continent', 'year']]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>country</th>\\n\",\n       \"      <th>continent</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1952</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1957</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1962</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1972</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"       country continent  year\\n\",\n       \"0  Afghanistan      Asia  1952\\n\",\n       \"1  Afghanistan      Asia  1957\\n\",\n       \"2  Afghanistan      Asia  1962\\n\",\n       \"3  Afghanistan      Asia  1967\\n\",\n       \"4  Afghanistan      Asia  1972\"\n      ]\n     },\n     \"execution_count\": 20,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"subset.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'0.23.4'\"\n      ]\n     },\n     \"execution_count\": 21,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"pandas.__version__\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"country      Afghanistan\\n\",\n       \"continent           Asia\\n\",\n       \"year                1962\\n\",\n       \"lifeExp           31.997\\n\",\n       \"pop             10267083\\n\",\n       \"gdpPercap        853.101\\n\",\n       \"Name: 2, dtype: object\"\n      ]\n     },\n     \"execution_count\": 22,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.loc[2]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>country</th>\\n\",\n       \"      <th>continent</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>lifeExp</th>\\n\",\n       \"      <th>pop</th>\\n\",\n       \"      <th>gdpPercap</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1962</td>\\n\",\n       \"      <td>31.997</td>\\n\",\n       \"      <td>10267083</td>\\n\",\n       \"      <td>853.100710</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1952</td>\\n\",\n       \"      <td>28.801</td>\\n\",\n       \"      <td>8425333</td>\\n\",\n       \"      <td>779.445314</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"       country continent  year  lifeExp       pop   gdpPercap\\n\",\n       \"2  Afghanistan      Asia  1962   31.997  10267083  853.100710\\n\",\n       \"0  Afghanistan      Asia  1952   28.801   8425333  779.445314\"\n      ]\n     },\n     \"execution_count\": 23,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.loc[[2, 0]]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"country      Afghanistan\\n\",\n       \"continent           Asia\\n\",\n       \"year                1962\\n\",\n       \"lifeExp           31.997\\n\",\n       \"pop             10267083\\n\",\n       \"gdpPercap        853.101\\n\",\n       \"Name: 2, dtype: object\"\n      ]\n     },\n     \"execution_count\": 24,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.iloc[2]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>country</th>\\n\",\n       \"      <th>continent</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>lifeExp</th>\\n\",\n       \"      <th>pop</th>\\n\",\n       \"      <th>gdpPercap</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1952</td>\\n\",\n       \"      <td>28.801</td>\\n\",\n       \"      <td>8425333</td>\\n\",\n       \"      <td>779.445314</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1957</td>\\n\",\n       \"      <td>30.332</td>\\n\",\n       \"      <td>9240934</td>\\n\",\n       \"      <td>820.853030</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1962</td>\\n\",\n       \"      <td>31.997</td>\\n\",\n       \"      <td>10267083</td>\\n\",\n       \"      <td>853.100710</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>34.020</td>\\n\",\n       \"      <td>11537966</td>\\n\",\n       \"      <td>836.197138</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1972</td>\\n\",\n       \"      <td>36.088</td>\\n\",\n       \"      <td>13079460</td>\\n\",\n       \"      <td>739.981106</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"       country continent  year  lifeExp       pop   gdpPercap\\n\",\n       \"0  Afghanistan      Asia  1952   28.801   8425333  779.445314\\n\",\n       \"1  Afghanistan      Asia  1957   30.332   9240934  820.853030\\n\",\n       \"2  Afghanistan      Asia  1962   31.997  10267083  853.100710\\n\",\n       \"3  Afghanistan      Asia  1967   34.020  11537966  836.197138\\n\",\n       \"4  Afghanistan      Asia  1972   36.088  13079460  739.981106\"\n      ]\n     },\n     \"execution_count\": 25,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/home/dchen/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: DeprecationWarning: \\n\",\n      \".ix is deprecated. Please use\\n\",\n      \".loc for label based indexing or\\n\",\n      \".iloc for positional indexing\\n\",\n      \"\\n\",\n      \"See the documentation here:\\n\",\n      \"http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated\\n\",\n      \"  \\\"\\\"\\\"Entry point for launching an IPython kernel.\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"country      Afghanistan\\n\",\n       \"continent           Asia\\n\",\n       \"year                1962\\n\",\n       \"lifeExp           31.997\\n\",\n       \"pop             10267083\\n\",\n       \"gdpPercap        853.101\\n\",\n       \"Name: 2, dtype: object\"\n      ]\n     },\n     \"execution_count\": 26,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.ix[2]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"subset = df.loc[:, ['year', 'pop']]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>pop</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1952</td>\\n\",\n       \"      <td>8425333</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>1957</td>\\n\",\n       \"      <td>9240934</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>1962</td>\\n\",\n       \"      <td>10267083</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>11537966</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>1972</td>\\n\",\n       \"      <td>13079460</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   year       pop\\n\",\n       \"0  1952   8425333\\n\",\n       \"1  1957   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    <td>1967</td>\\n\",\n       \"      <td>1179760</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>351</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>1588717</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>363</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>4744870</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>375</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>4174366</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>387</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>8139332</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>...</th>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1323</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>3965841</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1335</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>7971222</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1347</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>2662190</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1359</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>1977600</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1371</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>4442238</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1383</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>1646912</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1395</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>3428839</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1407</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>20997321</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1419</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>32850275</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1431</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>11737396</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1443</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>12716129</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1467</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>7867931</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1479</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>6063000</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1491</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>5680812</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1503</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>13648692</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1515</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>12607312</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1527</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>34024249</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1539</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>1735550</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1563</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>4786986</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1575</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>33411317</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1587</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>8900294</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1599</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>54959000</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1611</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>198712000</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1623</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>2748579</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1635</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>9709552</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1647</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>39463910</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1659</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>1142636</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1671</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>6740785</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1683</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>3900000</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1695</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>4995432</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"<p>123 rows × 2 columns</p>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"      year        pop\\n\",\n       \"3     1967   11537966\\n\",\n       \"15    1967    1984060\\n\",\n       \"27    1967   12760499\\n\",\n       \"39    1967    5247469\\n\",\n       \"51    1967   22934225\\n\",\n       \"63    1967   11872264\\n\",\n       \"75    1967    7376998\\n\",\n       \"99    1967   62821884\\n\",\n       \"111   1967    9556500\\n\",\n       \"123   1967    2427334\\n\",\n       \"135   1967    4040665\\n\",\n       \"147   1967    3585000\\n\",\n       \"171   1967   88049823\\n\",\n       \"183   1967    8310226\\n\",\n       \"195   1967    5127935\\n\",\n       \"207   1967    3330989\\n\",\n       \"219   1967    6960067\\n\",\n       \"231   1967    6335506\\n\",\n       \"243   1967   20819767\\n\",\n       \"255   1967    1733638\\n\",\n       \"267   1967    3495967\\n\",\n       \"279   1967    8858908\\n\",\n       \"291   1967  754550000\\n\",\n       \"303   1967   19764027\\n\",\n       \"327   1967   19941073\\n\",\n       \"339   1967    1179760\\n\",\n       \"351   1967    1588717\\n\",\n       \"363   1967    4744870\\n\",\n       \"375   1967    4174366\\n\",\n       \"387   1967    8139332\\n\",\n       \"...    ...        ...\\n\",\n       \"1323  1967    3965841\\n\",\n       \"1335  1967    7971222\\n\",\n       \"1347  1967    2662190\\n\",\n       \"1359  1967    1977600\\n\",\n       \"1371  1967    4442238\\n\",\n       \"1383  1967    1646912\\n\",\n       \"1395  1967    3428839\\n\",\n       \"1407  1967   20997321\\n\",\n       \"1419  1967   32850275\\n\",\n       \"1431  1967   11737396\\n\",\n       \"1443  1967   12716129\\n\",\n       \"1467  1967    7867931\\n\",\n       \"1479  1967    6063000\\n\",\n       \"1491  1967    5680812\\n\",\n       \"1503  1967   13648692\\n\",\n       \"1515  1967   12607312\\n\",\n       \"1527  1967   34024249\\n\",\n       \"1539  1967    1735550\\n\",\n       \"1563  1967    4786986\\n\",\n       \"1575  1967   33411317\\n\",\n       \"1587  1967    8900294\\n\",\n       \"1599  1967   54959000\\n\",\n       \"1611  1967  198712000\\n\",\n       \"1623  1967    2748579\\n\",\n       \"1635  1967    9709552\\n\",\n       \"1647  1967   39463910\\n\",\n       \"1659  1967    1142636\\n\",\n       \"1671  1967    6740785\\n\",\n       \"1683  1967    3900000\\n\",\n       \"1695  1967    4995432\\n\",\n       \"\\n\",\n       \"[123 rows x 2 columns]\"\n      ]\n     },\n     \"execution_count\": 35,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.loc[(df['year'] == 1967) & (df['pop'] > 1_000_000),\\n\",\n    \"       ['year', 'pop']]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"1000\"\n      ]\n     },\n     \"execution_count\": 32,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": []\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": []\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.6.6\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 2\n}\n"
  },
  {
    "path": "data/pew.csv",
    "content": "\"religion\",\"<$10k\",\"$10-20k\",\"$20-30k\",\"$30-40k\",\"$40-50k\",\"$50-75k\",\"$75-100k\",\"$100-150k\",\">150k\",\"Don't know/refused\"\n\"Agnostic\",27,34,60,81,76,137,122,109,84,96\n\"Atheist\",12,27,37,52,35,70,73,59,74,76\n\"Buddhist\",27,21,30,34,33,58,62,39,53,54\n\"Catholic\",418,617,732,670,638,1116,949,792,633,1489\n\"Don’t know/refused\",15,14,15,11,10,35,21,17,18,116\n\"Evangelical Prot\",575,869,1064,982,881,1486,949,723,414,1529\n\"Hindu\",1,9,7,9,11,34,47,48,54,37\n\"Historically Black Prot\",228,244,236,238,197,223,131,81,78,339\n\"Jehovah's Witness\",20,27,24,24,21,30,15,11,6,37\n\"Jewish\",19,19,25,25,30,95,69,87,151,162\n\"Mainline Prot\",289,495,619,655,651,1107,939,753,634,1328\n\"Mormon\",29,40,48,51,56,112,85,49,42,69\n\"Muslim\",6,7,9,10,9,23,16,8,6,22\n\"Orthodox\",13,17,23,32,32,47,38,42,46,73\n\"Other Christian\",9,7,11,13,13,14,18,14,12,18\n\"Other Faiths\",20,33,40,46,49,63,46,40,41,71\n\"Other World Religions\",5,2,3,4,2,7,3,4,4,8\n\"Unaffiliated\",217,299,374,365,341,528,407,321,258,597\n"
  },
  {
    "path": "data/survey_person.csv",
    "content": "ident,personal,family\ndyer,William,Dyer\npb,Frank,Pabodie\nlake,Anderson,Lake\nroe,Valentina,Roerich\ndanforth,Frank,Danforth\n"
  },
  {
    "path": "data/survey_site.csv",
    "content": "name,lat,long\nDR-1,-49.85,-128.57\nDR-3,-47.15,-126.72\nMSK-4,-48.87,-123.4\n"
  },
  {
    "path": "data/survey_survey.csv",
    "content": "taken,person,quant,reading\n619,dyer,rad,9.82\n619,dyer,sal,0.13\n622,dyer,rad,7.8\n622,dyer,sal,0.09\n734,pb,rad,8.41\n734,lake,sal,0.05\n734,pb,temp,-21.5\n735,pb,rad,7.22\n735,,sal,0.06\n735,,temp,-26.0\n751,pb,rad,4.35\n751,pb,temp,-18.5\n751,lake,sal,0.1\n752,lake,rad,2.19\n752,lake,sal,0.09\n752,lake,temp,-16.0\n752,roe,sal,41.6\n837,lake,rad,1.46\n837,lake,sal,0.21\n837,roe,sal,22.5\n844,roe,rad,11.25\n"
  },
  {
    "path": "data/survey_visited.csv",
    "content": "ident,site,dated\n619,DR-1,1927-02-08\n622,DR-1,1927-02-10\n734,DR-3,1939-01-07\n735,DR-3,1930-01-12\n751,DR-3,1930-02-26\n752,DR-3,\n837,MSK-4,1932-01-14\n844,DR-1,1932-03-22\n"
  },
  {
    "path": "data/weather.csv",
    "content": "\"id\",\"year\",\"month\",\"element\",\"d1\",\"d2\",\"d3\",\"d4\",\"d5\",\"d6\",\"d7\",\"d8\",\"d9\",\"d10\",\"d11\",\"d12\",\"d13\",\"d14\",\"d15\",\"d16\",\"d17\",\"d18\",\"d19\",\"d20\",\"d21\",\"d22\",\"d23\",\"d24\",\"d25\",\"d26\",\"d27\",\"d28\",\"d29\",\"d30\",\"d31\"\n\"MX17004\",2010,1,\"tmax\",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,27.8,NA\n\"MX17004\",2010,1,\"tmin\",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,14.5,NA\n\"MX17004\",2010,2,\"tmax\",NA,27.3,24.1,NA,NA,NA,NA,NA,NA,NA,29.7,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,29.9,NA,NA,NA,NA,NA,NA,NA,NA\n\"MX17004\",2010,2,\"tmin\",NA,14.4,14.4,NA,NA,NA,NA,NA,NA,NA,13.4,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,10.7,NA,NA,NA,NA,NA,NA,NA,NA\n\"MX17004\",2010,3,\"tmax\",NA,NA,NA,NA,32.1,NA,NA,NA,NA,34.5,NA,NA,NA,NA,NA,31.1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n\"MX17004\",2010,3,\"tmin\",NA,NA,NA,NA,14.2,NA,NA,NA,NA,16.8,NA,NA,NA,NA,NA,17.6,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n\"MX17004\",2010,4,\"tmax\",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,36.3,NA,NA,NA,NA\n\"MX17004\",2010,4,\"tmin\",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,16.7,NA,NA,NA,NA\n\"MX17004\",2010,5,\"tmax\",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,33.2,NA,NA,NA,NA\n\"MX17004\",2010,5,\"tmin\",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,18.2,NA,NA,NA,NA\n\"MX17004\",2010,6,\"tmax\",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,28,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,30.1,NA,NA\n\"MX17004\",2010,6,\"tmin\",NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,17.5,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,18,NA,NA\n\"MX17004\",2010,7,\"tmax\",NA,NA,28.6,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,29.9,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n\"MX17004\",2010,7,\"tmin\",NA,NA,17.5,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,16.5,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n\"MX17004\",2010,8,\"tmax\",NA,NA,NA,NA,29.6,NA,NA,29,NA,NA,NA,NA,29.8,NA,NA,NA,NA,NA,NA,NA,NA,NA,26.4,NA,29.7,NA,NA,NA,28,NA,25.4\n\"MX17004\",2010,8,\"tmin\",NA,NA,NA,NA,15.8,NA,NA,17.3,NA,NA,NA,NA,16.5,NA,NA,NA,NA,NA,NA,NA,NA,NA,15,NA,15.6,NA,NA,NA,15.3,NA,15.4\n\"MX17004\",2010,10,\"tmax\",NA,NA,NA,NA,27,NA,28.1,NA,NA,NA,NA,NA,NA,29.5,28.7,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,31.2,NA,NA,NA\n\"MX17004\",2010,10,\"tmin\",NA,NA,NA,NA,14,NA,12.9,NA,NA,NA,NA,NA,NA,13,10.5,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,15,NA,NA,NA\n\"MX17004\",2010,11,\"tmax\",NA,31.3,NA,27.2,26.3,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,28.1,27.7,NA,NA,NA,NA\n\"MX17004\",2010,11,\"tmin\",NA,16.3,NA,12,7.9,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,12.1,14.2,NA,NA,NA,NA\n\"MX17004\",2010,12,\"tmax\",29.9,NA,NA,NA,NA,27.8,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n\"MX17004\",2010,12,\"tmin\",13.8,NA,NA,NA,NA,10.5,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA\n"
  },
  {
    "path": "notebooks/.gitignore",
    "content": "*.csv\n\n"
  },
  {
    "path": "notebooks/.gitkeep",
    "content": ""
  },
  {
    "path": "notebooks/tidy.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import pandas as pd\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"pew = pd.read_csv('../data/pew.csv')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>religion</th>\\n\",\n       \"      <th>&lt;$10k</th>\\n\",\n       \"      <th>$10-20k</th>\\n\",\n       \"      <th>$20-30k</th>\\n\",\n       \"      <th>$30-40k</th>\\n\",\n       \"      <th>$40-50k</th>\\n\",\n       \"      <th>$50-75k</th>\\n\",\n       \"      <th>$75-100k</th>\\n\",\n       \"      <th>$100-150k</th>\\n\",\n       \"      <th>&gt;150k</th>\\n\",\n       \"      <th>Don't know/refused</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>Agnostic</td>\\n\",\n       \"      <td>27</td>\\n\",\n       \"      <td>34</td>\\n\",\n       \"      <td>60</td>\\n\",\n       \"      <td>81</td>\\n\",\n       \"      <td>76</td>\\n\",\n       \"      <td>137</td>\\n\",\n       \"      <td>122</td>\\n\",\n       \"      <td>109</td>\\n\",\n       \"      <td>84</td>\\n\",\n       \"      <td>96</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>Atheist</td>\\n\",\n       \"      <td>12</td>\\n\",\n       \"      <td>27</td>\\n\",\n       \"      <td>37</td>\\n\",\n       \"      <td>52</td>\\n\",\n       \"      <td>35</td>\\n\",\n       \"      <td>70</td>\\n\",\n       \"      <td>73</td>\\n\",\n       \"      <td>59</td>\\n\",\n       \"      <td>74</td>\\n\",\n       \"      <td>76</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>Buddhist</td>\\n\",\n       \"      <td>27</td>\\n\",\n       \"      <td>21</td>\\n\",\n       \"      <td>30</td>\\n\",\n       \"      <td>34</td>\\n\",\n       \"      <td>33</td>\\n\",\n       \"      <td>58</td>\\n\",\n       \"      <td>62</td>\\n\",\n       \"      <td>39</td>\\n\",\n       \"      <td>53</td>\\n\",\n       \"      <td>54</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>Catholic</td>\\n\",\n       \"      <td>418</td>\\n\",\n       \"      <td>617</td>\\n\",\n       \"      <td>732</td>\\n\",\n       \"      <td>670</td>\\n\",\n       \"      <td>638</td>\\n\",\n       \"      <td>1116</td>\\n\",\n       \"      <td>949</td>\\n\",\n       \"      <td>792</td>\\n\",\n       \"      <td>633</td>\\n\",\n       \"      <td>1489</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>Don’t know/refused</td>\\n\",\n       \"      <td>15</td>\\n\",\n       \"      <td>14</td>\\n\",\n       \"      <td>15</td>\\n\",\n       \"      <td>11</td>\\n\",\n       \"      <td>10</td>\\n\",\n       \"      <td>35</td>\\n\",\n       \"      <td>21</td>\\n\",\n       \"      <td>17</td>\\n\",\n       \"      <td>18</td>\\n\",\n       \"      <td>116</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"             religion  <$10k  $10-20k  $20-30k  $30-40k  $40-50k  $50-75k  \\\\\\n\",\n       \"0            Agnostic     27       34       60       81       76      137   \\n\",\n       \"1             Atheist     12       27       37       52       35       70   \\n\",\n       \"2            Buddhist     27       21       30       34       33       58   \\n\",\n       \"3            Catholic    418      617      732      670      638     1116   \\n\",\n       \"4  Don’t know/refused     15       14       15       11       10       35   \\n\",\n       \"\\n\",\n       \"   $75-100k  $100-150k  >150k  Don't know/refused  \\n\",\n       \"0       122        109     84                  96  \\n\",\n       \"1        73         59     74                  76  \\n\",\n       \"2        62         39     53                  54  \\n\",\n       \"3       949        792    633                1489  \\n\",\n       \"4        21         17     18                 116  \"\n      ]\n     },\n     \"execution_count\": 3,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"pew.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"pew_long = pd.melt(pew, id_vars='religion')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>religion</th>\\n\",\n       \"      <th>variable</th>\\n\",\n       \"      <th>value</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>Agnostic</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>27</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>Atheist</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>12</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>Buddhist</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>27</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>Catholic</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>418</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>Don’t know/refused</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>15</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"             religion variable  value\\n\",\n       \"0            Agnostic    <$10k     27\\n\",\n       \"1             Atheist    <$10k     12\\n\",\n       \"2            Buddhist    <$10k     27\\n\",\n       \"3            Catholic    <$10k    418\\n\",\n       \"4  Don’t know/refused    <$10k     15\"\n      ]\n     },\n     \"execution_count\": 7,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"pew_long.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"pew_long = pd.melt(pew, id_vars='religion',\\n\",\n    \"                   var_name='income',\\n\",\n    \"                  value_name='count')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>religion</th>\\n\",\n       \"      <th>income</th>\\n\",\n       \"      <th>count</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>Agnostic</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>27</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>Atheist</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>12</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>Buddhist</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>27</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>Catholic</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>418</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>Don’t know/refused</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>15</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"             religion income  count\\n\",\n       \"0            Agnostic  <$10k     27\\n\",\n       \"1             Atheist  <$10k     12\\n\",\n       \"2            Buddhist  <$10k     27\\n\",\n       \"3            Catholic  <$10k    418\\n\",\n       \"4  Don’t know/refused  <$10k     15\"\n      ]\n     },\n     \"execution_count\": 9,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"pew_long.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"billboard = pd.read_csv('../data/billboard.csv')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>artist</th>\\n\",\n       \"      <th>track</th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>date.entered</th>\\n\",\n       \"      <th>wk1</th>\\n\",\n       \"      <th>wk2</th>\\n\",\n       \"      <th>wk3</th>\\n\",\n       \"      <th>wk4</th>\\n\",\n       \"      <th>wk5</th>\\n\",\n       \"      <th>...</th>\\n\",\n       \"      <th>wk67</th>\\n\",\n       \"      <th>wk68</th>\\n\",\n       \"      <th>wk69</th>\\n\",\n       \"      <th>wk70</th>\\n\",\n       \"      <th>wk71</th>\\n\",\n       \"      <th>wk72</th>\\n\",\n       \"      <th>wk73</th>\\n\",\n       \"      <th>wk74</th>\\n\",\n       \"      <th>wk75</th>\\n\",\n       \"      <th>wk76</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>87</td>\\n\",\n       \"      <td>82.0</td>\\n\",\n       \"      <td>72.0</td>\\n\",\n       \"      <td>77.0</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2Ge+her</td>\\n\",\n       \"      <td>The Hardest Part Of ...</td>\\n\",\n       \"      <td>3:15</td>\\n\",\n       \"      <td>2000-09-02</td>\\n\",\n       \"      <td>91</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"      <td>92.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Kryptonite</td>\\n\",\n       \"      <td>3:53</td>\\n\",\n       \"      <td>2000-04-08</td>\\n\",\n       \"      <td>81</td>\\n\",\n       \"      <td>70.0</td>\\n\",\n       \"      <td>68.0</td>\\n\",\n       \"      <td>67.0</td>\\n\",\n       \"      <td>66.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>76</td>\\n\",\n       \"      <td>76.0</td>\\n\",\n       \"      <td>72.0</td>\\n\",\n       \"      <td>69.0</td>\\n\",\n       \"      <td>67.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>504 Boyz</td>\\n\",\n       \"      <td>Wobble Wobble</td>\\n\",\n       \"      <td>3:35</td>\\n\",\n       \"      <td>2000-04-15</td>\\n\",\n       \"      <td>57</td>\\n\",\n       \"      <td>34.0</td>\\n\",\n       \"      <td>25.0</td>\\n\",\n       \"      <td>17.0</td>\\n\",\n       \"      <td>17.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>5</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>98^0</td>\\n\",\n       \"      <td>Give Me Just One Nig...</td>\\n\",\n       \"      <td>3:24</td>\\n\",\n       \"      <td>2000-08-19</td>\\n\",\n       \"      <td>51</td>\\n\",\n       \"      <td>39.0</td>\\n\",\n       \"      <td>34.0</td>\\n\",\n       \"      <td>26.0</td>\\n\",\n       \"      <td>26.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>6</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>A*Teens</td>\\n\",\n       \"      <td>Dancing Queen</td>\\n\",\n       \"      <td>3:44</td>\\n\",\n       \"      <td>2000-07-08</td>\\n\",\n       \"      <td>97</td>\\n\",\n       \"      <td>97.0</td>\\n\",\n       \"      <td>96.0</td>\\n\",\n       \"      <td>95.0</td>\\n\",\n       \"      <td>100.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>7</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Aaliyah</td>\\n\",\n       \"      <td>I Don't Wanna</td>\\n\",\n       \"      <td>4:15</td>\\n\",\n       \"      <td>2000-01-29</td>\\n\",\n       \"      <td>84</td>\\n\",\n       \"      <td>62.0</td>\\n\",\n       \"      <td>51.0</td>\\n\",\n       \"      <td>41.0</td>\\n\",\n       \"      <td>38.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>8</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Aaliyah</td>\\n\",\n       \"      <td>Try Again</td>\\n\",\n       \"      <td>4:03</td>\\n\",\n       \"      <td>2000-03-18</td>\\n\",\n       \"      <td>59</td>\\n\",\n       \"      <td>53.0</td>\\n\",\n       \"      <td>38.0</td>\\n\",\n       \"      <td>28.0</td>\\n\",\n       \"      <td>21.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>9</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Adams, Yolanda</td>\\n\",\n       \"      <td>Open My Heart</td>\\n\",\n       \"      <td>5:30</td>\\n\",\n       \"      <td>2000-08-26</td>\\n\",\n       \"      <td>76</td>\\n\",\n       \"      <td>76.0</td>\\n\",\n       \"      <td>74.0</td>\\n\",\n       \"      <td>69.0</td>\\n\",\n       \"      <td>68.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>10</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Adkins, Trace</td>\\n\",\n       \"      <td>More</td>\\n\",\n       \"      <td>3:05</td>\\n\",\n       \"      <td>2000-04-29</td>\\n\",\n       \"      <td>84</td>\\n\",\n       \"      <td>84.0</td>\\n\",\n       \"      <td>75.0</td>\\n\",\n       \"      <td>73.0</td>\\n\",\n       \"      <td>73.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>11</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Aguilera, Christina</td>\\n\",\n       \"      <td>Come On Over Baby (A...</td>\\n\",\n       \"      <td>3:38</td>\\n\",\n       \"      <td>2000-08-05</td>\\n\",\n       \"      <td>57</td>\\n\",\n       \"      <td>47.0</td>\\n\",\n       \"      <td>45.0</td>\\n\",\n       \"      <td>29.0</td>\\n\",\n       \"      <td>23.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>12</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Aguilera, Christina</td>\\n\",\n       \"      <td>I Turn To You</td>\\n\",\n       \"      <td>4:00</td>\\n\",\n       \"      <td>2000-04-15</td>\\n\",\n       \"      <td>50</td>\\n\",\n       \"      <td>39.0</td>\\n\",\n       \"      <td>30.0</td>\\n\",\n       \"      <td>28.0</td>\\n\",\n       \"      <td>21.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>13</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Aguilera, Christina</td>\\n\",\n       \"      <td>What A Girl Wants</td>\\n\",\n       \"      <td>3:18</td>\\n\",\n       \"      <td>1999-11-27</td>\\n\",\n       \"      <td>71</td>\\n\",\n       \"      <td>51.0</td>\\n\",\n       \"      <td>28.0</td>\\n\",\n       \"      <td>18.0</td>\\n\",\n       \"      <td>13.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>14</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Alice Deejay</td>\\n\",\n       \"      <td>Better Off Alone</td>\\n\",\n       \"      <td>6:50</td>\\n\",\n       \"      <td>2000-04-08</td>\\n\",\n       \"      <td>79</td>\\n\",\n       \"      <td>65.0</td>\\n\",\n       \"      <td>53.0</td>\\n\",\n       \"      <td>48.0</td>\\n\",\n       \"      <td>45.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>15</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Allan, Gary</td>\\n\",\n       \"      <td>Smoke Rings In The D...</td>\\n\",\n       \"      <td>4:18</td>\\n\",\n       \"      <td>2000-01-22</td>\\n\",\n       \"      <td>80</td>\\n\",\n       \"      <td>78.0</td>\\n\",\n       \"      <td>76.0</td>\\n\",\n       \"      <td>77.0</td>\\n\",\n       \"      <td>92.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>16</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Amber</td>\\n\",\n       \"      <td>Sexual</td>\\n\",\n       \"      <td>4:38</td>\\n\",\n       \"      <td>1999-07-17</td>\\n\",\n       \"      <td>99</td>\\n\",\n       \"      <td>99.0</td>\\n\",\n       \"      <td>96.0</td>\\n\",\n       \"      <td>96.0</td>\\n\",\n       \"      <td>100.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>17</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Anastacia</td>\\n\",\n       \"      <td>I'm Outta Love</td>\\n\",\n       \"      <td>4:01</td>\\n\",\n       \"      <td>2000-04-01</td>\\n\",\n       \"      <td>92</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>95.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>18</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Anthony, Marc</td>\\n\",\n       \"      <td>My Baby You</td>\\n\",\n       \"      <td>3:59</td>\\n\",\n       \"      <td>2000-09-16</td>\\n\",\n       \"      <td>82</td>\\n\",\n       \"      <td>76.0</td>\\n\",\n       \"      <td>76.0</td>\\n\",\n       \"      <td>70.0</td>\\n\",\n       \"      <td>82.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>19</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Anthony, Marc</td>\\n\",\n       \"      <td>You Sang To Me</td>\\n\",\n       \"      <td>3:50</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>77</td>\\n\",\n       \"      <td>54.0</td>\\n\",\n       \"      <td>50.0</td>\\n\",\n       \"      <td>43.0</td>\\n\",\n       \"      <td>30.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>20</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Avant</td>\\n\",\n       \"      <td>My First Love</td>\\n\",\n       \"      <td>4:28</td>\\n\",\n       \"      <td>2000-11-04</td>\\n\",\n       \"      <td>70</td>\\n\",\n       \"      <td>62.0</td>\\n\",\n       \"      <td>56.0</td>\\n\",\n       \"      <td>43.0</td>\\n\",\n       \"      <td>39.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>21</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Avant</td>\\n\",\n       \"      <td>Separated</td>\\n\",\n       \"      <td>4:13</td>\\n\",\n       \"      <td>2000-04-29</td>\\n\",\n       \"      <td>62</td>\\n\",\n       \"      <td>32.0</td>\\n\",\n       \"      <td>30.0</td>\\n\",\n       \"      <td>23.0</td>\\n\",\n       \"      <td>26.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>22</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>BBMak</td>\\n\",\n       \"      <td>Back Here</td>\\n\",\n       \"      <td>3:35</td>\\n\",\n       \"      <td>2000-04-29</td>\\n\",\n       \"      <td>99</td>\\n\",\n       \"      <td>86.0</td>\\n\",\n       \"      <td>60.0</td>\\n\",\n       \"      <td>52.0</td>\\n\",\n       \"      <td>38.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>23</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Backstreet Boys, The</td>\\n\",\n       \"      <td>Shape Of My Heart</td>\\n\",\n       \"      <td>3:49</td>\\n\",\n       \"      <td>2000-10-14</td>\\n\",\n       \"      <td>39</td>\\n\",\n       \"      <td>25.0</td>\\n\",\n       \"      <td>24.0</td>\\n\",\n       \"      <td>15.0</td>\\n\",\n       \"      <td>12.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>24</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Backstreet Boys, The</td>\\n\",\n       \"      <td>Show Me The Meaning ...</td>\\n\",\n       \"      <td>3:54</td>\\n\",\n       \"      <td>2000-01-01</td>\\n\",\n       \"      <td>74</td>\\n\",\n       \"      <td>62.0</td>\\n\",\n       \"      <td>55.0</td>\\n\",\n       \"      <td>25.0</td>\\n\",\n       \"      <td>16.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>25</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Backstreet Boys, The</td>\\n\",\n       \"      <td>The One</td>\\n\",\n       \"      <td>3:46</td>\\n\",\n       \"      <td>2000-05-27</td>\\n\",\n       \"      <td>58</td>\\n\",\n       \"      <td>50.0</td>\\n\",\n       \"      <td>43.0</td>\\n\",\n       \"      <td>37.0</td>\\n\",\n       \"      <td>31.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>26</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Badu, Erkyah</td>\\n\",\n       \"      <td>Bag Lady</td>\\n\",\n       \"      <td>5:03</td>\\n\",\n       \"      <td>2000-08-19</td>\\n\",\n       \"      <td>67</td>\\n\",\n       \"      <td>53.0</td>\\n\",\n       \"      <td>42.0</td>\\n\",\n       \"      <td>41.0</td>\\n\",\n       \"      <td>48.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>27</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Baha Men</td>\\n\",\n       \"      <td>Who Let The Dogs Out</td>\\n\",\n       \"      <td>3:17</td>\\n\",\n       \"      <td>2000-07-22</td>\\n\",\n       \"      <td>99</td>\\n\",\n       \"      <td>92.0</td>\\n\",\n       \"      <td>85.0</td>\\n\",\n       \"      <td>76.0</td>\\n\",\n       \"      <td>65.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>28</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Barenaked Ladies</td>\\n\",\n       \"      <td>Pinch Me</td>\\n\",\n       \"      <td>3:46</td>\\n\",\n       \"      <td>2000-09-09</td>\\n\",\n       \"      <td>77</td>\\n\",\n       \"      <td>76.0</td>\\n\",\n       \"      <td>69.0</td>\\n\",\n       \"      <td>45.0</td>\\n\",\n       \"      <td>51.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>29</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Beenie Man</td>\\n\",\n       \"      <td>Girls Dem Sugar</td>\\n\",\n       \"      <td>4:17</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>72</td>\\n\",\n       \"      <td>72.0</td>\\n\",\n       \"      <td>63.0</td>\\n\",\n       \"      <td>56.0</td>\\n\",\n       \"      <td>62.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>...</th>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>287</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Thomas, Carl</td>\\n\",\n       \"      <td>Emotional</td>\\n\",\n       \"      <td>4:31</td>\\n\",\n       \"      <td>2000-11-25</td>\\n\",\n       \"      <td>77</td>\\n\",\n       \"      <td>63.0</td>\\n\",\n       \"      <td>61.0</td>\\n\",\n       \"      <td>58.0</td>\\n\",\n       \"      <td>54.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>288</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Thomas, Carl</td>\\n\",\n       \"      <td>I Wish</td>\\n\",\n       \"      <td>3:50</td>\\n\",\n       \"      <td>2000-03-25</td>\\n\",\n       \"      <td>75</td>\\n\",\n       \"      <td>64.0</td>\\n\",\n       \"      <td>48.0</td>\\n\",\n       \"      <td>39.0</td>\\n\",\n       \"      <td>32.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>289</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Thomas, Carl</td>\\n\",\n       \"      <td>Summer Rain</td>\\n\",\n       \"      <td>4:57</td>\\n\",\n       \"      <td>2000-09-23</td>\\n\",\n       \"      <td>82</td>\\n\",\n       \"      <td>82.0</td>\\n\",\n       \"      <td>86.0</td>\\n\",\n       \"      <td>80.0</td>\\n\",\n       \"      <td>82.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>290</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Tippin, Aaron</td>\\n\",\n       \"      <td>Kiss This</td>\\n\",\n       \"      <td>2:53</td>\\n\",\n       \"      <td>2000-08-26</td>\\n\",\n       \"      <td>74</td>\\n\",\n       \"      <td>72.0</td>\\n\",\n       \"      <td>66.0</td>\\n\",\n       \"      <td>53.0</td>\\n\",\n       \"      <td>52.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>291</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Train</td>\\n\",\n       \"      <td>Meet Virginia</td>\\n\",\n       \"      <td>3:55</td>\\n\",\n       \"      <td>1999-10-09</td>\\n\",\n       \"      <td>76</td>\\n\",\n       \"      <td>67.0</td>\\n\",\n       \"      <td>59.0</td>\\n\",\n       \"      <td>54.0</td>\\n\",\n       \"      <td>48.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>292</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Trick Daddy</td>\\n\",\n       \"      <td>Shut Up</td>\\n\",\n       \"      <td>4:17</td>\\n\",\n       \"      <td>2000-05-20</td>\\n\",\n       \"      <td>99</td>\\n\",\n       \"      <td>95.0</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"      <td>83.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>293</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Trina</td>\\n\",\n       \"      <td>Pull Over</td>\\n\",\n       \"      <td>2:58</td>\\n\",\n       \"      <td>2000-09-09</td>\\n\",\n       \"      <td>97</td>\\n\",\n       \"      <td>93.0</td>\\n\",\n       \"      <td>96.0</td>\\n\",\n       \"      <td>100.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>294</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Tritt, Travis</td>\\n\",\n       \"      <td>Best Of Intentions</td>\\n\",\n       \"      <td>4:15</td>\\n\",\n       \"      <td>2000-08-19</td>\\n\",\n       \"      <td>97</td>\\n\",\n       \"      <td>86.0</td>\\n\",\n       \"      <td>79.0</td>\\n\",\n       \"      <td>70.0</td>\\n\",\n       \"      <td>63.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>295</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Tuesday</td>\\n\",\n       \"      <td>I Know</td>\\n\",\n       \"      <td>4:06</td>\\n\",\n       \"      <td>2000-12-30</td>\\n\",\n       \"      <td>98</td>\\n\",\n       \"      <td>98.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>296</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Urban, Keith</td>\\n\",\n       \"      <td>Your Everything</td>\\n\",\n       \"      <td>4:10</td>\\n\",\n       \"      <td>2000-07-15</td>\\n\",\n       \"      <td>81</td>\\n\",\n       \"      <td>80.0</td>\\n\",\n       \"      <td>73.0</td>\\n\",\n       \"      <td>73.0</td>\\n\",\n       \"      <td>67.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>297</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Usher</td>\\n\",\n       \"      <td>Pop Ya Collar</td>\\n\",\n       \"      <td>3:36</td>\\n\",\n       \"      <td>2000-11-04</td>\\n\",\n       \"      <td>68</td>\\n\",\n       \"      <td>64.0</td>\\n\",\n       \"      <td>60.0</td>\\n\",\n       \"      <td>60.0</td>\\n\",\n       \"      <td>62.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>298</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Vassar, Phil</td>\\n\",\n       \"      <td>Carlene</td>\\n\",\n       \"      <td>4:07</td>\\n\",\n       \"      <td>2000-03-04</td>\\n\",\n       \"      <td>75</td>\\n\",\n       \"      <td>67.0</td>\\n\",\n       \"      <td>64.0</td>\\n\",\n       \"      <td>64.0</td>\\n\",\n       \"      <td>57.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>299</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Vassar, Phil</td>\\n\",\n       \"      <td>Just Another Day In ...</td>\\n\",\n       \"      <td>3:54</td>\\n\",\n       \"      <td>2000-09-30</td>\\n\",\n       \"      <td>81</td>\\n\",\n       \"      <td>81.0</td>\\n\",\n       \"      <td>76.0</td>\\n\",\n       \"      <td>67.0</td>\\n\",\n       \"      <td>53.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>300</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Vertical Horizon</td>\\n\",\n       \"      <td>Everything You Want</td>\\n\",\n       \"      <td>4:01</td>\\n\",\n       \"      <td>2000-01-22</td>\\n\",\n       \"      <td>70</td>\\n\",\n       \"      <td>61.0</td>\\n\",\n       \"      <td>53.0</td>\\n\",\n       \"      <td>46.0</td>\\n\",\n       \"      <td>40.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>301</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Vertical Horizon</td>\\n\",\n       \"      <td>You're A God</td>\\n\",\n       \"      <td>3:45</td>\\n\",\n       \"      <td>2000-08-26</td>\\n\",\n       \"      <td>64</td>\\n\",\n       \"      <td>55.0</td>\\n\",\n       \"      <td>43.0</td>\\n\",\n       \"      <td>41.0</td>\\n\",\n       \"      <td>37.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>302</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Vitamin C</td>\\n\",\n       \"      <td>Graduation (Friends ...</td>\\n\",\n       \"      <td>4:23</td>\\n\",\n       \"      <td>2000-04-15</td>\\n\",\n       \"      <td>81</td>\\n\",\n       \"      <td>64.0</td>\\n\",\n       \"      <td>54.0</td>\\n\",\n       \"      <td>54.0</td>\\n\",\n       \"      <td>46.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>303</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Vitamin C</td>\\n\",\n       \"      <td>The Itch</td>\\n\",\n       \"      <td>3:30</td>\\n\",\n       \"      <td>2000-12-02</td>\\n\",\n       \"      <td>86</td>\\n\",\n       \"      <td>48.0</td>\\n\",\n       \"      <td>45.0</td>\\n\",\n       \"      <td>52.0</td>\\n\",\n       \"      <td>57.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>304</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Walker, Clay</td>\\n\",\n       \"      <td>Live, Laugh, Love</td>\\n\",\n       \"      <td>4:06</td>\\n\",\n       \"      <td>1999-12-04</td>\\n\",\n       \"      <td>95</td>\\n\",\n       \"      <td>95.0</td>\\n\",\n       \"      <td>94.0</td>\\n\",\n       \"      <td>94.0</td>\\n\",\n       \"      <td>94.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>305</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Walker, Clay</td>\\n\",\n       \"      <td>The Chain Of Love</td>\\n\",\n       \"      <td>5:03</td>\\n\",\n       \"      <td>2000-04-15</td>\\n\",\n       \"      <td>73</td>\\n\",\n       \"      <td>65.0</td>\\n\",\n       \"      <td>57.0</td>\\n\",\n       \"      <td>57.0</td>\\n\",\n       \"      <td>51.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>306</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Wallflowers, The</td>\\n\",\n       \"      <td>Sleepwalker</td>\\n\",\n       \"      <td>3:29</td>\\n\",\n       \"      <td>2000-10-28</td>\\n\",\n       \"      <td>73</td>\\n\",\n       \"      <td>73.0</td>\\n\",\n       \"      <td>74.0</td>\\n\",\n       \"      <td>80.0</td>\\n\",\n       \"      <td>90.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>307</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Westlife</td>\\n\",\n       \"      <td>Swear It Again</td>\\n\",\n       \"      <td>4:07</td>\\n\",\n       \"      <td>2000-04-01</td>\\n\",\n       \"      <td>96</td>\\n\",\n       \"      <td>82.0</td>\\n\",\n       \"      <td>66.0</td>\\n\",\n       \"      <td>55.0</td>\\n\",\n       \"      <td>55.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>308</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Williams, Robbie</td>\\n\",\n       \"      <td>Angels</td>\\n\",\n       \"      <td>3:56</td>\\n\",\n       \"      <td>1999-11-20</td>\\n\",\n       \"      <td>85</td>\\n\",\n       \"      <td>77.0</td>\\n\",\n       \"      <td>69.0</td>\\n\",\n       \"      <td>69.0</td>\\n\",\n       \"      <td>62.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>309</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Wills, Mark</td>\\n\",\n       \"      <td>Back At One</td>\\n\",\n       \"      <td>4:00</td>\\n\",\n       \"      <td>2000-01-15</td>\\n\",\n       \"      <td>89</td>\\n\",\n       \"      <td>55.0</td>\\n\",\n       \"      <td>51.0</td>\\n\",\n       \"      <td>43.0</td>\\n\",\n       \"      <td>37.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>310</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Worley, Darryl</td>\\n\",\n       \"      <td>When You Need My Lov...</td>\\n\",\n       \"      <td>3:35</td>\\n\",\n       \"      <td>2000-06-17</td>\\n\",\n       \"      <td>98</td>\\n\",\n       \"      <td>88.0</td>\\n\",\n       \"      <td>93.0</td>\\n\",\n       \"      <td>92.0</td>\\n\",\n       \"      <td>85.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>311</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Wright, Chely</td>\\n\",\n       \"      <td>It Was</td>\\n\",\n       \"      <td>3:51</td>\\n\",\n       \"      <td>2000-03-04</td>\\n\",\n       \"      <td>86</td>\\n\",\n       \"      <td>78.0</td>\\n\",\n       \"      <td>75.0</td>\\n\",\n       \"      <td>72.0</td>\\n\",\n       \"      <td>71.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>312</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Yankee Grey</td>\\n\",\n       \"      <td>Another Nine Minutes</td>\\n\",\n       \"      <td>3:10</td>\\n\",\n       \"      <td>2000-04-29</td>\\n\",\n       \"      <td>86</td>\\n\",\n       \"      <td>83.0</td>\\n\",\n       \"      <td>77.0</td>\\n\",\n       \"      <td>74.0</td>\\n\",\n       \"      <td>83.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>313</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Yearwood, Trisha</td>\\n\",\n       \"      <td>Real Live Woman</td>\\n\",\n       \"      <td>3:55</td>\\n\",\n       \"      <td>2000-04-01</td>\\n\",\n       \"      <td>85</td>\\n\",\n       \"      <td>83.0</td>\\n\",\n       \"      <td>83.0</td>\\n\",\n       \"      <td>82.0</td>\\n\",\n       \"      <td>81.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>314</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Ying Yang Twins</td>\\n\",\n       \"      <td>Whistle While You Tw...</td>\\n\",\n       \"      <td>4:19</td>\\n\",\n       \"      <td>2000-03-18</td>\\n\",\n       \"      <td>95</td>\\n\",\n       \"      <td>94.0</td>\\n\",\n       \"      <td>91.0</td>\\n\",\n       \"      <td>85.0</td>\\n\",\n       \"      <td>84.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>315</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Zombie Nation</td>\\n\",\n       \"      <td>Kernkraft 400</td>\\n\",\n       \"      <td>3:30</td>\\n\",\n       \"      <td>2000-09-02</td>\\n\",\n       \"      <td>99</td>\\n\",\n       \"      <td>99.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>316</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>matchbox twenty</td>\\n\",\n       \"      <td>Bent</td>\\n\",\n       \"      <td>4:12</td>\\n\",\n       \"      <td>2000-04-29</td>\\n\",\n       \"      <td>60</td>\\n\",\n       \"      <td>37.0</td>\\n\",\n       \"      <td>29.0</td>\\n\",\n       \"      <td>24.0</td>\\n\",\n       \"      <td>22.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"<p>317 rows × 81 columns</p>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"     year                artist                    track  time date.entered  \\\\\\n\",\n       \"0    2000                 2 Pac  Baby Don't Cry (Keep...  4:22   2000-02-26   \\n\",\n       \"1    2000               2Ge+her  The Hardest Part Of ...  3:15   2000-09-02   \\n\",\n       \"2    2000          3 Doors Down               Kryptonite  3:53   2000-04-08   \\n\",\n       \"3    2000          3 Doors Down                    Loser  4:24   2000-10-21   \\n\",\n       \"4    2000              504 Boyz            Wobble Wobble  3:35   2000-04-15   \\n\",\n       \"5    2000                  98^0  Give Me Just One Nig...  3:24   2000-08-19   \\n\",\n       \"6    2000               A*Teens            Dancing Queen  3:44   2000-07-08   \\n\",\n       \"7    2000               Aaliyah            I Don't Wanna  4:15   2000-01-29   \\n\",\n       \"8    2000               Aaliyah                Try Again  4:03   2000-03-18   \\n\",\n       \"9    2000        Adams, Yolanda            Open My Heart  5:30   2000-08-26   \\n\",\n       \"10   2000         Adkins, Trace                     More  3:05   2000-04-29   \\n\",\n       \"11   2000   Aguilera, Christina  Come On Over Baby (A...  3:38   2000-08-05   \\n\",\n       \"12   2000   Aguilera, Christina            I Turn To You  4:00   2000-04-15   \\n\",\n       \"13   2000   Aguilera, Christina        What A Girl Wants  3:18   1999-11-27   \\n\",\n       \"14   2000          Alice Deejay         Better Off Alone  6:50   2000-04-08   \\n\",\n       \"15   2000           Allan, Gary  Smoke Rings In The D...  4:18   2000-01-22   \\n\",\n       \"16   2000                 Amber                   Sexual  4:38   1999-07-17   \\n\",\n       \"17   2000             Anastacia           I'm Outta Love  4:01   2000-04-01   \\n\",\n       \"18   2000         Anthony, Marc              My Baby You  3:59   2000-09-16   \\n\",\n       \"19   2000         Anthony, Marc           You Sang To Me  3:50   2000-02-26   \\n\",\n       \"20   2000                 Avant            My First Love  4:28   2000-11-04   \\n\",\n       \"21   2000                 Avant                Separated  4:13   2000-04-29   \\n\",\n       \"22   2000                 BBMak                Back Here  3:35   2000-04-29   \\n\",\n       \"23   2000  Backstreet Boys, The        Shape Of My Heart  3:49   2000-10-14   \\n\",\n       \"24   2000  Backstreet Boys, The  Show Me The Meaning ...  3:54   2000-01-01   \\n\",\n       \"25   2000  Backstreet Boys, The                  The One  3:46   2000-05-27   \\n\",\n       \"26   2000          Badu, Erkyah                 Bag Lady  5:03   2000-08-19   \\n\",\n       \"27   2000              Baha Men     Who Let The Dogs Out  3:17   2000-07-22   \\n\",\n       \"28   2000      Barenaked Ladies                 Pinch Me  3:46   2000-09-09   \\n\",\n       \"29   2000            Beenie Man          Girls Dem Sugar  4:17   2000-10-21   \\n\",\n       \"..    ...                   ...                      ...   ...          ...   \\n\",\n       \"287  2000          Thomas, Carl                Emotional  4:31   2000-11-25   \\n\",\n       \"288  2000          Thomas, Carl                   I Wish  3:50   2000-03-25   \\n\",\n       \"289  2000          Thomas, Carl              Summer Rain  4:57   2000-09-23   \\n\",\n       \"290  2000         Tippin, Aaron                Kiss This  2:53   2000-08-26   \\n\",\n       \"291  2000                 Train            Meet Virginia  3:55   1999-10-09   \\n\",\n       \"292  2000           Trick Daddy                  Shut Up  4:17   2000-05-20   \\n\",\n       \"293  2000                 Trina                Pull Over  2:58   2000-09-09   \\n\",\n       \"294  2000         Tritt, Travis       Best Of Intentions  4:15   2000-08-19   \\n\",\n       \"295  2000               Tuesday                   I Know  4:06   2000-12-30   \\n\",\n       \"296  2000          Urban, Keith          Your Everything  4:10   2000-07-15   \\n\",\n       \"297  2000                 Usher            Pop Ya Collar  3:36   2000-11-04   \\n\",\n       \"298  2000          Vassar, Phil                  Carlene  4:07   2000-03-04   \\n\",\n       \"299  2000          Vassar, Phil  Just Another Day In ...  3:54   2000-09-30   \\n\",\n       \"300  2000      Vertical Horizon      Everything You Want  4:01   2000-01-22   \\n\",\n       \"301  2000      Vertical Horizon             You're A God  3:45   2000-08-26   \\n\",\n       \"302  2000             Vitamin C  Graduation (Friends ...  4:23   2000-04-15   \\n\",\n       \"303  2000             Vitamin C                 The Itch  3:30   2000-12-02   \\n\",\n       \"304  2000          Walker, Clay        Live, Laugh, Love  4:06   1999-12-04   \\n\",\n       \"305  2000          Walker, Clay        The Chain Of Love  5:03   2000-04-15   \\n\",\n       \"306  2000      Wallflowers, The              Sleepwalker  3:29   2000-10-28   \\n\",\n       \"307  2000              Westlife           Swear It Again  4:07   2000-04-01   \\n\",\n       \"308  2000      Williams, Robbie                   Angels  3:56   1999-11-20   \\n\",\n       \"309  2000           Wills, Mark              Back At One  4:00   2000-01-15   \\n\",\n       \"310  2000        Worley, Darryl  When You Need My Lov...  3:35   2000-06-17   \\n\",\n       \"311  2000         Wright, Chely                   It Was  3:51   2000-03-04   \\n\",\n       \"312  2000           Yankee Grey     Another Nine Minutes  3:10   2000-04-29   \\n\",\n       \"313  2000      Yearwood, Trisha          Real Live Woman  3:55   2000-04-01   \\n\",\n       \"314  2000       Ying Yang Twins  Whistle While You Tw...  4:19   2000-03-18   \\n\",\n       \"315  2000         Zombie Nation            Kernkraft 400  3:30   2000-09-02   \\n\",\n       \"316  2000       matchbox twenty                     Bent  4:12   2000-04-29   \\n\",\n       \"\\n\",\n       \"     wk1   wk2   wk3    wk4    wk5  ...   wk67  wk68  wk69  wk70  wk71  wk72  \\\\\\n\",\n       \"0     87  82.0  72.0   77.0   87.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"1     91  87.0  92.0    NaN    NaN  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"2     81  70.0  68.0   67.0   66.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"3     76  76.0  72.0   69.0   67.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"4     57  34.0  25.0   17.0   17.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"5     51  39.0  34.0   26.0   26.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"6     97  97.0  96.0   95.0  100.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"7     84  62.0  51.0   41.0   38.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"8     59  53.0  38.0   28.0   21.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"9     76  76.0  74.0   69.0   68.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"10    84  84.0  75.0   73.0   73.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"11    57  47.0  45.0   29.0   23.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"12    50  39.0  30.0   28.0   21.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"13    71  51.0  28.0   18.0   13.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"14    79  65.0  53.0   48.0   45.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"15    80  78.0  76.0   77.0   92.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"16    99  99.0  96.0   96.0  100.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"17    92   NaN   NaN   95.0    NaN  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"18    82  76.0  76.0   70.0   82.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"19    77  54.0  50.0   43.0   30.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"20    70  62.0  56.0   43.0   39.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"21    62  32.0  30.0   23.0   26.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"22    99  86.0  60.0   52.0   38.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"23    39  25.0  24.0   15.0   12.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"24    74  62.0  55.0   25.0   16.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"25    58  50.0  43.0   37.0   31.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"26    67  53.0  42.0   41.0   48.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"27    99  92.0  85.0   76.0   65.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"28    77  76.0  69.0   45.0   51.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"29    72  72.0  63.0   56.0   62.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"..   ...   ...   ...    ...    ...  ...    ...   ...   ...   ...   ...   ...   \\n\",\n       \"287   77  63.0  61.0   58.0   54.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"288   75  64.0  48.0   39.0   32.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"289   82  82.0  86.0   80.0   82.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"290   74  72.0  66.0   53.0   52.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"291   76  67.0  59.0   54.0   48.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"292   99  95.0  87.0   87.0   83.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"293   97  93.0  96.0  100.0    NaN  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"294   97  86.0  79.0   70.0   63.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"295   98  98.0   NaN    NaN    NaN  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"296   81  80.0  73.0   73.0   67.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"297   68  64.0  60.0   60.0   62.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"298   75  67.0  64.0   64.0   57.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"299   81  81.0  76.0   67.0   53.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"300   70  61.0  53.0   46.0   40.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"301   64  55.0  43.0   41.0   37.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"302   81  64.0  54.0   54.0   46.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"303   86  48.0  45.0   52.0   57.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"304   95  95.0  94.0   94.0   94.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"305   73  65.0  57.0   57.0   51.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"306   73  73.0  74.0   80.0   90.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"307   96  82.0  66.0   55.0   55.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"308   85  77.0  69.0   69.0   62.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"309   89  55.0  51.0   43.0   37.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"310   98  88.0  93.0   92.0   85.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"311   86  78.0  75.0   72.0   71.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"312   86  83.0  77.0   74.0   83.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"313   85  83.0  83.0   82.0   81.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"314   95  94.0  91.0   85.0   84.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"315   99  99.0   NaN    NaN    NaN  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"316   60  37.0  29.0   24.0   22.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"\\n\",\n       \"     wk73  wk74  wk75  wk76  \\n\",\n       \"0     NaN   NaN   NaN   NaN  \\n\",\n       \"1     NaN   NaN   NaN   NaN  \\n\",\n       \"2     NaN   NaN   NaN   NaN  \\n\",\n       \"3     NaN   NaN   NaN   NaN  \\n\",\n       \"4     NaN   NaN   NaN   NaN  \\n\",\n       \"5     NaN   NaN   NaN   NaN  \\n\",\n       \"6     NaN   NaN   NaN   NaN  \\n\",\n       \"7     NaN   NaN   NaN   NaN  \\n\",\n       \"8     NaN   NaN   NaN   NaN  \\n\",\n       \"9     NaN   NaN   NaN   NaN  \\n\",\n       \"10    NaN   NaN   NaN   NaN  \\n\",\n       \"11    NaN   NaN   NaN   NaN  \\n\",\n       \"12    NaN   NaN   NaN   NaN  \\n\",\n       \"13    NaN   NaN   NaN   NaN  \\n\",\n       \"14    NaN   NaN   NaN   NaN  \\n\",\n       \"15    NaN   NaN   NaN   NaN  \\n\",\n       \"16    NaN   NaN   NaN   NaN  \\n\",\n       \"17    NaN   NaN   NaN   NaN  \\n\",\n       \"18    NaN   NaN   NaN   NaN  \\n\",\n       \"19    NaN   NaN   NaN   NaN  \\n\",\n       \"20    NaN   NaN   NaN   NaN  \\n\",\n       \"21    NaN   NaN   NaN   NaN  \\n\",\n       \"22    NaN   NaN   NaN   NaN  \\n\",\n       \"23    NaN   NaN   NaN   NaN  \\n\",\n       \"24    NaN   NaN   NaN   NaN  \\n\",\n       \"25    NaN   NaN   NaN   NaN  \\n\",\n       \"26    NaN   NaN   NaN   NaN  \\n\",\n       \"27    NaN   NaN   NaN   NaN  \\n\",\n       \"28    NaN   NaN   NaN   NaN  \\n\",\n       \"29    NaN   NaN   NaN   NaN  \\n\",\n       \"..    ...   ...   ...   ...  \\n\",\n       \"287   NaN   NaN   NaN   NaN  \\n\",\n       \"288   NaN   NaN   NaN   NaN  \\n\",\n       \"289   NaN   NaN   NaN   NaN  \\n\",\n       \"290   NaN   NaN   NaN   NaN  \\n\",\n       \"291   NaN   NaN   NaN   NaN  \\n\",\n       \"292   NaN   NaN   NaN   NaN  \\n\",\n       \"293   NaN   NaN   NaN   NaN  \\n\",\n       \"294   NaN   NaN   NaN   NaN  \\n\",\n       \"295   NaN   NaN   NaN   NaN  \\n\",\n       \"296   NaN   NaN   NaN   NaN  \\n\",\n       \"297   NaN   NaN   NaN   NaN  \\n\",\n       \"298   NaN   NaN   NaN   NaN  \\n\",\n       \"299   NaN   NaN   NaN   NaN  \\n\",\n       \"300   NaN   NaN   NaN   NaN  \\n\",\n       \"301   NaN   NaN   NaN   NaN  \\n\",\n       \"302   NaN   NaN   NaN   NaN  \\n\",\n       \"303   NaN   NaN   NaN   NaN  \\n\",\n       \"304   NaN   NaN   NaN   NaN  \\n\",\n       \"305   NaN   NaN   NaN   NaN  \\n\",\n       \"306   NaN   NaN   NaN   NaN  \\n\",\n       \"307   NaN   NaN   NaN   NaN  \\n\",\n       \"308   NaN   NaN   NaN   NaN  \\n\",\n       \"309   NaN   NaN   NaN   NaN  \\n\",\n       \"310   NaN   NaN   NaN   NaN  \\n\",\n       \"311   NaN   NaN   NaN   NaN  \\n\",\n       \"312   NaN   NaN   NaN   NaN  \\n\",\n       \"313   NaN   NaN   NaN   NaN  \\n\",\n       \"314   NaN   NaN   NaN   NaN  \\n\",\n       \"315   NaN   NaN   NaN   NaN  \\n\",\n       \"316   NaN   NaN   NaN   NaN  \\n\",\n       \"\\n\",\n       \"[317 rows x 81 columns]\"\n      ]\n     },\n     \"execution_count\": 11,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>artist</th>\\n\",\n       \"      <th>track</th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>date.entered</th>\\n\",\n       \"      <th>wk1</th>\\n\",\n       \"      <th>wk2</th>\\n\",\n       \"      <th>wk3</th>\\n\",\n       \"      <th>wk4</th>\\n\",\n       \"      <th>wk5</th>\\n\",\n       \"      <th>...</th>\\n\",\n       \"      <th>wk67</th>\\n\",\n       \"      <th>wk68</th>\\n\",\n       \"      <th>wk69</th>\\n\",\n       \"      <th>wk70</th>\\n\",\n       \"      <th>wk71</th>\\n\",\n       \"      <th>wk72</th>\\n\",\n       \"      <th>wk73</th>\\n\",\n       \"      <th>wk74</th>\\n\",\n       \"      <th>wk75</th>\\n\",\n       \"      <th>wk76</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>87</td>\\n\",\n       \"      <td>82.0</td>\\n\",\n       \"      <td>72.0</td>\\n\",\n       \"      <td>77.0</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2Ge+her</td>\\n\",\n       \"      <td>The Hardest Part Of ...</td>\\n\",\n       \"      <td>3:15</td>\\n\",\n       \"      <td>2000-09-02</td>\\n\",\n       \"      <td>91</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"      <td>92.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Kryptonite</td>\\n\",\n       \"      <td>3:53</td>\\n\",\n       \"      <td>2000-04-08</td>\\n\",\n       \"      <td>81</td>\\n\",\n       \"      <td>70.0</td>\\n\",\n       \"      <td>68.0</td>\\n\",\n       \"      <td>67.0</td>\\n\",\n       \"      <td>66.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>76</td>\\n\",\n       \"      <td>76.0</td>\\n\",\n       \"      <td>72.0</td>\\n\",\n       \"      <td>69.0</td>\\n\",\n       \"      <td>67.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>504 Boyz</td>\\n\",\n       \"      <td>Wobble Wobble</td>\\n\",\n       \"      <td>3:35</td>\\n\",\n       \"      <td>2000-04-15</td>\\n\",\n       \"      <td>57</td>\\n\",\n       \"      <td>34.0</td>\\n\",\n       \"      <td>25.0</td>\\n\",\n       \"      <td>17.0</td>\\n\",\n       \"      <td>17.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"<p>5 rows × 81 columns</p>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   year        artist                    track  time date.entered  wk1   wk2  \\\\\\n\",\n       \"0  2000         2 Pac  Baby Don't Cry (Keep...  4:22   2000-02-26   87  82.0   \\n\",\n       \"1  2000       2Ge+her  The Hardest Part Of ...  3:15   2000-09-02   91  87.0   \\n\",\n       \"2  2000  3 Doors Down               Kryptonite  3:53   2000-04-08   81  70.0   \\n\",\n       \"3  2000  3 Doors Down                    Loser  4:24   2000-10-21   76  76.0   \\n\",\n       \"4  2000      504 Boyz            Wobble Wobble  3:35   2000-04-15   57  34.0   \\n\",\n       \"\\n\",\n       \"    wk3   wk4   wk5  ...   wk67  wk68  wk69  wk70  wk71  wk72  wk73  wk74  \\\\\\n\",\n       \"0  72.0  77.0  87.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"1  92.0   NaN   NaN  ...    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"2  68.0  67.0  66.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"3  72.0  69.0  67.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"4  25.0  17.0  17.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"\\n\",\n       \"   wk75  wk76  \\n\",\n       \"0   NaN   NaN  \\n\",\n       \"1   NaN   NaN  \\n\",\n       \"2   NaN   NaN  \\n\",\n       \"3   NaN   NaN  \\n\",\n       \"4   NaN   NaN  \\n\",\n       \"\\n\",\n       \"[5 rows x 81 columns]\"\n      ]\n     },\n     \"execution_count\": 13,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"billboard_melt = pd.melt(\\n\",\n    \"    billboard,\\n\",\n    \"    id_vars=['year', 'artist', 'track', 'time', 'date.entered'],\\n\",\n    \"    var_name='week',\\n\",\n    \"    value_name='rating'\\n\",\n    \")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>artist</th>\\n\",\n       \"      <th>track</th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>date.entered</th>\\n\",\n       \"      <th>week</th>\\n\",\n       \"      <th>rating</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2Ge+her</td>\\n\",\n       \"      <td>The Hardest Part Of ...</td>\\n\",\n       \"      <td>3:15</td>\\n\",\n       \"      <td>2000-09-02</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>91.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Kryptonite</td>\\n\",\n       \"      <td>3:53</td>\\n\",\n       \"      <td>2000-04-08</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>81.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>76.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>504 Boyz</td>\\n\",\n       \"      <td>Wobble Wobble</td>\\n\",\n       \"      <td>3:35</td>\\n\",\n       \"      <td>2000-04-15</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>57.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   year        artist                    track  time date.entered week  rating\\n\",\n       \"0  2000         2 Pac  Baby Don't Cry (Keep...  4:22   2000-02-26  wk1    87.0\\n\",\n       \"1  2000       2Ge+her  The Hardest Part Of ...  3:15   2000-09-02  wk1    91.0\\n\",\n       \"2  2000  3 Doors Down               Kryptonite  3:53   2000-04-08  wk1    81.0\\n\",\n       \"3  2000  3 Doors Down                    Loser  4:24   2000-10-21  wk1    76.0\\n\",\n       \"4  2000      504 Boyz            Wobble Wobble  3:35   2000-04-15  wk1    57.0\"\n      ]\n     },\n     \"execution_count\": 15,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_melt.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(317, 81)\"\n      ]\n     },\n     \"execution_count\": 16,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(24092, 7)\"\n      ]\n     },\n     \"execution_count\": 17,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_melt.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"ebola = pd.read_csv('../data/country_timeseries.csv')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Date</th>\\n\",\n       \"      <th>Day</th>\\n\",\n       \"      <th>Cases_Guinea</th>\\n\",\n       \"      <th>Cases_Liberia</th>\\n\",\n       \"      <th>Cases_SierraLeone</th>\\n\",\n       \"      <th>Cases_Nigeria</th>\\n\",\n       \"      <th>Cases_Senegal</th>\\n\",\n       \"      <th>Cases_UnitedStates</th>\\n\",\n       \"      <th>Cases_Spain</th>\\n\",\n       \"      <th>Cases_Mali</th>\\n\",\n       \"      <th>Deaths_Guinea</th>\\n\",\n       \"      <th>Deaths_Liberia</th>\\n\",\n       \"      <th>Deaths_SierraLeone</th>\\n\",\n       \"      <th>Deaths_Nigeria</th>\\n\",\n       \"      <th>Deaths_Senegal</th>\\n\",\n       \"      <th>Deaths_UnitedStates</th>\\n\",\n       \"      <th>Deaths_Spain</th>\\n\",\n       \"      <th>Deaths_Mali</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1/5/2015</td>\\n\",\n       \"      <td>289</td>\\n\",\n       \"      <td>2776.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>10030.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>1786.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>2977.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>1/4/2015</td>\\n\",\n       \"      <td>288</td>\\n\",\n       \"      <td>2775.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>9780.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>1781.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>2943.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>1/3/2015</td>\\n\",\n       \"      <td>287</td>\\n\",\n       \"      <td>2769.0</td>\\n\",\n       \"      <td>8166.0</td>\\n\",\n       \"      <td>9722.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>1767.0</td>\\n\",\n       \"      <td>3496.0</td>\\n\",\n       \"      <td>2915.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>1/2/2015</td>\\n\",\n       \"      <td>286</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>8157.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>3496.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>12/31/2014</td>\\n\",\n       \"      <td>284</td>\\n\",\n       \"      <td>2730.0</td>\\n\",\n       \"      <td>8115.0</td>\\n\",\n       \"      <td>9633.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>1739.0</td>\\n\",\n       \"      <td>3471.0</td>\\n\",\n       \"      <td>2827.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"         Date  Day  Cases_Guinea  Cases_Liberia  Cases_SierraLeone  \\\\\\n\",\n       \"0    1/5/2015  289        2776.0            NaN            10030.0   \\n\",\n       \"1    1/4/2015  288        2775.0            NaN             9780.0   \\n\",\n       \"2    1/3/2015  287        2769.0         8166.0             9722.0   \\n\",\n       \"3    1/2/2015  286           NaN         8157.0                NaN   \\n\",\n       \"4  12/31/2014  284        2730.0         8115.0             9633.0   \\n\",\n       \"\\n\",\n       \"   Cases_Nigeria  Cases_Senegal  Cases_UnitedStates  Cases_Spain  Cases_Mali  \\\\\\n\",\n       \"0            NaN            NaN                 NaN          NaN         NaN   \\n\",\n       \"1            NaN            NaN                 NaN          NaN         NaN   \\n\",\n       \"2            NaN            NaN                 NaN          NaN         NaN   \\n\",\n       \"3            NaN            NaN                 NaN          NaN         NaN   \\n\",\n       \"4            NaN            NaN                 NaN          NaN         NaN   \\n\",\n       \"\\n\",\n       \"   Deaths_Guinea  Deaths_Liberia  Deaths_SierraLeone  Deaths_Nigeria  \\\\\\n\",\n       \"0         1786.0             NaN              2977.0             NaN   \\n\",\n       \"1         1781.0             NaN              2943.0             NaN   \\n\",\n       \"2         1767.0          3496.0              2915.0             NaN   \\n\",\n       \"3            NaN          3496.0                 NaN             NaN   \\n\",\n       \"4         1739.0          3471.0              2827.0             NaN   \\n\",\n       \"\\n\",\n       \"   Deaths_Senegal  Deaths_UnitedStates  Deaths_Spain  Deaths_Mali  \\n\",\n       \"0             NaN                  NaN           NaN          NaN  \\n\",\n       \"1             NaN                  NaN           NaN          NaN  \\n\",\n       \"2             NaN                  NaN           NaN          NaN  \\n\",\n       \"3             NaN                  NaN           NaN          NaN  \\n\",\n       \"4             NaN                  NaN           NaN          NaN  \"\n      ]\n     },\n     \"execution_count\": 19,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ebola.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"ebola_long = pd.melt(ebola,\\n\",\n    \"                    id_vars=['Date', 'Day'])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Date</th>\\n\",\n       \"      <th>Day</th>\\n\",\n       \"      <th>variable</th>\\n\",\n       \"      <th>value</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1/5/2015</td>\\n\",\n       \"      <td>289</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2776.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>1/4/2015</td>\\n\",\n       \"      <td>288</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2775.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>1/3/2015</td>\\n\",\n       \"      <td>287</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2769.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>1/2/2015</td>\\n\",\n       \"      <td>286</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>12/31/2014</td>\\n\",\n       \"      <td>284</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2730.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"         Date  Day      variable   value\\n\",\n       \"0    1/5/2015  289  Cases_Guinea  2776.0\\n\",\n       \"1    1/4/2015  288  Cases_Guinea  2775.0\\n\",\n       \"2    1/3/2015  287  Cases_Guinea  2769.0\\n\",\n       \"3    1/2/2015  286  Cases_Guinea     NaN\\n\",\n       \"4  12/31/2014  284  Cases_Guinea  2730.0\"\n      ]\n     },\n     \"execution_count\": 21,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ebola_long.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['Cases', 'Guinea']\"\n      ]\n     },\n     \"execution_count\": 23,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"'Cases_Guinea'.split('_')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"variable_split = ebola_long['variable'].str.split('_')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0       [Cases, Guinea]\\n\",\n       \"1       [Cases, Guinea]\\n\",\n       \"2       [Cases, Guinea]\\n\",\n       \"3       [Cases, Guinea]\\n\",\n       \"4       [Cases, Guinea]\\n\",\n       \"5       [Cases, Guinea]\\n\",\n       \"6       [Cases, Guinea]\\n\",\n       \"7       [Cases, Guinea]\\n\",\n       \"8       [Cases, Guinea]\\n\",\n       \"9       [Cases, Guinea]\\n\",\n       \"10      [Cases, Guinea]\\n\",\n       \"11      [Cases, Guinea]\\n\",\n       \"12      [Cases, Guinea]\\n\",\n       \"13      [Cases, Guinea]\\n\",\n       \"14      [Cases, Guinea]\\n\",\n       \"15      [Cases, Guinea]\\n\",\n       \"16      [Cases, Guinea]\\n\",\n       \"17      [Cases, Guinea]\\n\",\n       \"18      [Cases, Guinea]\\n\",\n       \"19      [Cases, Guinea]\\n\",\n       \"20      [Cases, Guinea]\\n\",\n       \"21      [Cases, Guinea]\\n\",\n       \"22      [Cases, Guinea]\\n\",\n       \"23      [Cases, Guinea]\\n\",\n       \"24      [Cases, Guinea]\\n\",\n       \"25      [Cases, Guinea]\\n\",\n       \"26      [Cases, Guinea]\\n\",\n       \"27      [Cases, Guinea]\\n\",\n       \"28      [Cases, Guinea]\\n\",\n       \"29      [Cases, Guinea]\\n\",\n       \"             ...       \\n\",\n       \"1922     [Deaths, Mali]\\n\",\n       \"1923     [Deaths, Mali]\\n\",\n       \"1924     [Deaths, Mali]\\n\",\n       \"1925     [Deaths, Mali]\\n\",\n       \"1926     [Deaths, Mali]\\n\",\n       \"1927     [Deaths, Mali]\\n\",\n       \"1928     [Deaths, Mali]\\n\",\n       \"1929     [Deaths, Mali]\\n\",\n       \"1930     [Deaths, Mali]\\n\",\n       \"1931     [Deaths, Mali]\\n\",\n       \"1932     [Deaths, Mali]\\n\",\n       \"1933     [Deaths, Mali]\\n\",\n       \"1934     [Deaths, Mali]\\n\",\n       \"1935     [Deaths, Mali]\\n\",\n       \"1936     [Deaths, Mali]\\n\",\n       \"1937     [Deaths, Mali]\\n\",\n       \"1938     [Deaths, Mali]\\n\",\n       \"1939     [Deaths, Mali]\\n\",\n       \"1940     [Deaths, Mali]\\n\",\n       \"1941     [Deaths, Mali]\\n\",\n       \"1942     [Deaths, Mali]\\n\",\n       \"1943     [Deaths, Mali]\\n\",\n       \"1944     [Deaths, Mali]\\n\",\n       \"1945     [Deaths, Mali]\\n\",\n       \"1946     [Deaths, Mali]\\n\",\n       \"1947     [Deaths, Mali]\\n\",\n       \"1948     [Deaths, Mali]\\n\",\n       \"1949     [Deaths, Mali]\\n\",\n       \"1950     [Deaths, Mali]\\n\",\n       \"1951     [Deaths, Mali]\\n\",\n       \"Name: variable, Length: 1952, dtype: object\"\n      ]\n     },\n     \"execution_count\": 25,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"variable_split\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"pandas.core.series.Series\"\n      ]\n     },\n     \"execution_count\": 26,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(variable_split)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"list\"\n      ]\n     },\n     \"execution_count\": 28,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(variable_split[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'Cases'\"\n      ]\n     },\n     \"execution_count\": 30,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"(variable_split[0][0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"str\"\n      ]\n     },\n     \"execution_count\": 31,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(variable_split[0][0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0        Cases\\n\",\n       \"1        Cases\\n\",\n       \"2        Cases\\n\",\n       \"3        Cases\\n\",\n       \"4        Cases\\n\",\n       \"5        Cases\\n\",\n       \"6        Cases\\n\",\n       \"7        Cases\\n\",\n       \"8        Cases\\n\",\n       \"9        Cases\\n\",\n       \"10       Cases\\n\",\n       \"11       Cases\\n\",\n       \"12       Cases\\n\",\n       \"13       Cases\\n\",\n       \"14       Cases\\n\",\n       \"15       Cases\\n\",\n       \"16       Cases\\n\",\n       \"17       Cases\\n\",\n       \"18       Cases\\n\",\n       \"19       Cases\\n\",\n       \"20       Cases\\n\",\n       \"21       Cases\\n\",\n       \"22       Cases\\n\",\n       \"23       Cases\\n\",\n       \"24       Cases\\n\",\n       \"25       Cases\\n\",\n       \"26       Cases\\n\",\n       \"27       Cases\\n\",\n       \"28       Cases\\n\",\n       \"29       Cases\\n\",\n       \"         ...  \\n\",\n       \"1922    Deaths\\n\",\n       \"1923    Deaths\\n\",\n       \"1924    Deaths\\n\",\n       \"1925    Deaths\\n\",\n       \"1926    Deaths\\n\",\n       \"1927    Deaths\\n\",\n       \"1928    Deaths\\n\",\n       \"1929    Deaths\\n\",\n       \"1930    Deaths\\n\",\n       \"1931    Deaths\\n\",\n       \"1932    Deaths\\n\",\n       \"1933    Deaths\\n\",\n       \"1934    Deaths\\n\",\n       \"1935    Deaths\\n\",\n       \"1936    Deaths\\n\",\n       \"1937    Deaths\\n\",\n       \"1938    Deaths\\n\",\n       \"1939    Deaths\\n\",\n       \"1940    Deaths\\n\",\n       \"1941    Deaths\\n\",\n       \"1942    Deaths\\n\",\n       \"1943    Deaths\\n\",\n       \"1944    Deaths\\n\",\n       \"1945    Deaths\\n\",\n       \"1946    Deaths\\n\",\n       \"1947    Deaths\\n\",\n       \"1948    Deaths\\n\",\n       \"1949    Deaths\\n\",\n       \"1950    Deaths\\n\",\n       \"1951    Deaths\\n\",\n       \"Name: variable, Length: 1952, dtype: object\"\n      ]\n     },\n     \"execution_count\": 35,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"variable_split.str.get(0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0       Guinea\\n\",\n       \"1       Guinea\\n\",\n       \"2       Guinea\\n\",\n       \"3       Guinea\\n\",\n       \"4       Guinea\\n\",\n       \"5       Guinea\\n\",\n       \"6       Guinea\\n\",\n       \"7       Guinea\\n\",\n       \"8       Guinea\\n\",\n       \"9       Guinea\\n\",\n       \"10      Guinea\\n\",\n       \"11      Guinea\\n\",\n       \"12      Guinea\\n\",\n       \"13      Guinea\\n\",\n       \"14      Guinea\\n\",\n       \"15      Guinea\\n\",\n       \"16      Guinea\\n\",\n       \"17      Guinea\\n\",\n       \"18      Guinea\\n\",\n       \"19      Guinea\\n\",\n       \"20      Guinea\\n\",\n       \"21      Guinea\\n\",\n       \"22      Guinea\\n\",\n       \"23      Guinea\\n\",\n       \"24      Guinea\\n\",\n       \"25      Guinea\\n\",\n       \"26      Guinea\\n\",\n       \"27      Guinea\\n\",\n       \"28      Guinea\\n\",\n       \"29      Guinea\\n\",\n       \"         ...  \\n\",\n       \"1922      Mali\\n\",\n       \"1923      Mali\\n\",\n       \"1924      Mali\\n\",\n       \"1925      Mali\\n\",\n       \"1926      Mali\\n\",\n       \"1927      Mali\\n\",\n       \"1928      Mali\\n\",\n       \"1929      Mali\\n\",\n       \"1930      Mali\\n\",\n       \"1931      Mali\\n\",\n       \"1932      Mali\\n\",\n       \"1933      Mali\\n\",\n       \"1934      Mali\\n\",\n       \"1935      Mali\\n\",\n       \"1936      Mali\\n\",\n       \"1937      Mali\\n\",\n       \"1938      Mali\\n\",\n       \"1939      Mali\\n\",\n       \"1940      Mali\\n\",\n       \"1941      Mali\\n\",\n       \"1942      Mali\\n\",\n       \"1943      Mali\\n\",\n       \"1944      Mali\\n\",\n       \"1945      Mali\\n\",\n       \"1946      Mali\\n\",\n       \"1947      Mali\\n\",\n       \"1948      Mali\\n\",\n       \"1949      Mali\\n\",\n       \"1950      Mali\\n\",\n       \"1951      Mali\\n\",\n       \"Name: variable, Length: 1952, dtype: object\"\n      ]\n     },\n     \"execution_count\": 36,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"variable_split.str.get(1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"ebola_long['stats'] = variable_split.str.get(0)\\n\",\n    \"ebola_long['country'] = variable_split.str.get(1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Date</th>\\n\",\n       \"      <th>Day</th>\\n\",\n       \"      <th>variable</th>\\n\",\n       \"      <th>value</th>\\n\",\n       \"      <th>stats</th>\\n\",\n       \"      <th>country</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1/5/2015</td>\\n\",\n       \"      <td>289</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2776.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>1/4/2015</td>\\n\",\n       \"      <td>288</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2775.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>1/3/2015</td>\\n\",\n       \"      <td>287</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2769.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>1/2/2015</td>\\n\",\n       \"      <td>286</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>12/31/2014</td>\\n\",\n       \"      <td>284</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2730.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"         Date  Day      variable   value  stats country\\n\",\n       \"0    1/5/2015  289  Cases_Guinea  2776.0  Cases  Guinea\\n\",\n       \"1    1/4/2015  288  Cases_Guinea  2775.0  Cases  Guinea\\n\",\n       \"2    1/3/2015  287  Cases_Guinea  2769.0  Cases  Guinea\\n\",\n       \"3    1/2/2015  286  Cases_Guinea     NaN  Cases  Guinea\\n\",\n       \"4  12/31/2014  284  Cases_Guinea  2730.0  Cases  Guinea\"\n      ]\n     },\n     \"execution_count\": 39,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ebola_long.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"ebola_long[['stats_e', 'country_e']] = (ebola_long['variable']\\n\",\n    \"                                        .str\\n\",\n    \"                                        .split('_', expand=True))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Date</th>\\n\",\n       \"      <th>Day</th>\\n\",\n       \"      <th>variable</th>\\n\",\n       \"      <th>value</th>\\n\",\n       \"      <th>stats</th>\\n\",\n       \"      <th>country</th>\\n\",\n       \"      <th>stats_e</th>\\n\",\n       \"      <th>country_e</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1/5/2015</td>\\n\",\n       \"      <td>289</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2776.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>1/4/2015</td>\\n\",\n       \"      <td>288</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2775.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>1/3/2015</td>\\n\",\n       \"      <td>287</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2769.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>1/2/2015</td>\\n\",\n       \"      <td>286</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>12/31/2014</td>\\n\",\n       \"      <td>284</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2730.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>5</th>\\n\",\n       \"      <td>12/28/2014</td>\\n\",\n       \"      <td>281</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2706.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>6</th>\\n\",\n       \"      <td>12/27/2014</td>\\n\",\n       \"      <td>280</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2695.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>7</th>\\n\",\n       \"      <td>12/24/2014</td>\\n\",\n       \"      <td>277</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2630.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>8</th>\\n\",\n       \"      <td>12/21/2014</td>\\n\",\n       \"      <td>273</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2597.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>9</th>\\n\",\n       \"      <td>12/20/2014</td>\\n\",\n       \"      <td>272</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2571.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>10</th>\\n\",\n       \"      <td>12/18/2014</td>\\n\",\n       \"      <td>271</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>11</th>\\n\",\n       \"      <td>12/14/2014</td>\\n\",\n       \"      <td>267</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2416.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>12</th>\\n\",\n       \"      <td>12/9/2014</td>\\n\",\n       \"      <td>262</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>13</th>\\n\",\n       \"      <td>12/7/2014</td>\\n\",\n       \"      <td>260</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2292.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>14</th>\\n\",\n       \"      <td>12/3/2014</td>\\n\",\n       \"      <td>256</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>15</th>\\n\",\n       \"      <td>11/30/2014</td>\\n\",\n       \"      <td>253</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2164.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>16</th>\\n\",\n       \"      <td>11/28/2014</td>\\n\",\n       \"      <td>251</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>17</th>\\n\",\n       \"      <td>11/23/2014</td>\\n\",\n       \"      <td>246</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2134.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>18</th>\\n\",\n       \"      <td>11/22/2014</td>\\n\",\n       \"      <td>245</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>19</th>\\n\",\n       \"      <td>11/18/2014</td>\\n\",\n       \"      <td>241</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2047.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>20</th>\\n\",\n       \"      <td>11/16/2014</td>\\n\",\n       \"      <td>239</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>1971.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>21</th>\\n\",\n       \"      <td>11/15/2014</td>\\n\",\n       \"      <td>238</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>22</th>\\n\",\n       \"      <td>11/11/2014</td>\\n\",\n       \"      <td>234</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>1919.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>23</th>\\n\",\n       \"      <td>11/10/2014</td>\\n\",\n       \"      <td>233</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>24</th>\\n\",\n       \"      <td>11/9/2014</td>\\n\",\n       \"      <td>232</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>1878.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>25</th>\\n\",\n       \"      <td>11/8/2014</td>\\n\",\n       \"      <td>231</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>26</th>\\n\",\n       \"      <td>11/4/2014</td>\\n\",\n       \"      <td>227</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>27</th>\\n\",\n       \"      <td>11/3/2014</td>\\n\",\n       \"      <td>226</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>1760.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>28</th>\\n\",\n       \"      <td>11/2/2014</td>\\n\",\n       \"      <td>225</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>1731.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>29</th>\\n\",\n       \"      <td>10/31/2014</td>\\n\",\n       \"      <td>222</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>...</th>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1922</th>\\n\",\n       \"      <td>5/23/2014</td>\\n\",\n       \"      <td>62</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1923</th>\\n\",\n       \"      <td>5/12/2014</td>\\n\",\n       \"      <td>51</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1924</th>\\n\",\n       \"      <td>5/10/2014</td>\\n\",\n       \"      <td>49</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1925</th>\\n\",\n       \"      <td>5/7/2014</td>\\n\",\n       \"      <td>46</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1926</th>\\n\",\n       \"      <td>5/5/2014</td>\\n\",\n       \"      <td>44</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1927</th>\\n\",\n       \"      <td>5/3/2014</td>\\n\",\n       \"      <td>42</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1928</th>\\n\",\n       \"      <td>5/1/2014</td>\\n\",\n       \"      <td>40</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1929</th>\\n\",\n       \"      <td>4/26/2014</td>\\n\",\n       \"      <td>35</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1930</th>\\n\",\n       \"      <td>4/24/2014</td>\\n\",\n       \"      <td>33</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1931</th>\\n\",\n       \"      <td>4/23/2014</td>\\n\",\n       \"      <td>32</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1932</th>\\n\",\n       \"      <td>4/22/2014</td>\\n\",\n       \"      <td>31</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1933</th>\\n\",\n       \"      <td>4/21/2014</td>\\n\",\n       \"      <td>30</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1934</th>\\n\",\n       \"      <td>4/20/2014</td>\\n\",\n       \"      <td>29</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1935</th>\\n\",\n       \"      <td>4/17/2014</td>\\n\",\n       \"      <td>26</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1936</th>\\n\",\n       \"      <td>4/16/2014</td>\\n\",\n       \"      <td>25</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1937</th>\\n\",\n       \"      <td>4/15/2014</td>\\n\",\n       \"      <td>24</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1938</th>\\n\",\n       \"      <td>4/14/2014</td>\\n\",\n       \"      <td>23</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1939</th>\\n\",\n       \"      <td>4/11/2014</td>\\n\",\n       \"      <td>20</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1940</th>\\n\",\n       \"      <td>4/9/2014</td>\\n\",\n       \"      <td>18</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1941</th>\\n\",\n       \"      <td>4/7/2014</td>\\n\",\n       \"      <td>16</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1942</th>\\n\",\n       \"      <td>4/4/2014</td>\\n\",\n       \"      <td>13</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1943</th>\\n\",\n       \"      <td>4/1/2014</td>\\n\",\n       \"      <td>10</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1944</th>\\n\",\n       \"      <td>3/31/2014</td>\\n\",\n       \"      <td>9</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1945</th>\\n\",\n       \"      <td>3/29/2014</td>\\n\",\n       \"      <td>7</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1946</th>\\n\",\n       \"      <td>3/28/2014</td>\\n\",\n       \"      <td>6</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1947</th>\\n\",\n       \"      <td>3/27/2014</td>\\n\",\n       \"      <td>5</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1948</th>\\n\",\n       \"      <td>3/26/2014</td>\\n\",\n       \"      <td>4</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1949</th>\\n\",\n       \"      <td>3/25/2014</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1950</th>\\n\",\n       \"      <td>3/24/2014</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1951</th>\\n\",\n       \"      <td>3/22/2014</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>Deaths_Mali</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"      <td>Deaths</td>\\n\",\n       \"      <td>Mali</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"<p>1952 rows × 8 columns</p>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"            Date  Day      variable   value   stats country stats_e country_e\\n\",\n       \"0       1/5/2015  289  Cases_Guinea  2776.0   Cases  Guinea   Cases    Guinea\\n\",\n       \"1       1/4/2015  288  Cases_Guinea  2775.0   Cases  Guinea   Cases    Guinea\\n\",\n       \"2       1/3/2015  287  Cases_Guinea  2769.0   Cases  Guinea   Cases    Guinea\\n\",\n       \"3       1/2/2015  286  Cases_Guinea     NaN   Cases  Guinea   Cases    Guinea\\n\",\n       \"4     12/31/2014  284  Cases_Guinea  2730.0   Cases  Guinea   Cases    Guinea\\n\",\n       \"5     12/28/2014  281  Cases_Guinea  2706.0   Cases  Guinea   Cases    Guinea\\n\",\n       \"6     12/27/2014  280  Cases_Guinea  2695.0   Cases  Guinea   Cases    Guinea\\n\",\n       \"7     12/24/2014  277  Cases_Guinea  2630.0   Cases  Guinea   Cases    Guinea\\n\",\n       \"8     12/21/2014  273  Cases_Guinea  2597.0   Cases  Guinea   Cases    Guinea\\n\",\n       \"9     12/20/2014  272  Cases_Guinea  2571.0   Cases  Guinea   Cases    Guinea\\n\",\n       \"10    12/18/2014  271  Cases_Guinea     NaN   Cases  Guinea   Cases    Guinea\\n\",\n       \"11    12/14/2014  267  Cases_Guinea  2416.0   Cases  Guinea   Cases    Guinea\\n\",\n       \"12     12/9/2014  262  Cases_Guinea     NaN   Cases  Guinea   Cases    Guinea\\n\",\n       \"13     12/7/2014  260  Cases_Guinea  2292.0   Cases  Guinea   Cases    Guinea\\n\",\n       \"14     12/3/2014  256  Cases_Guinea     NaN   Cases  Guinea   Cases    Guinea\\n\",\n       \"15    11/30/2014  253  Cases_Guinea  2164.0   Cases  Guinea   Cases    Guinea\\n\",\n       \"16    11/28/2014  251  Cases_Guinea     NaN   Cases  Guinea   Cases    Guinea\\n\",\n       \"17    11/23/2014  246  Cases_Guinea  2134.0   Cases  Guinea   Cases    Guinea\\n\",\n       \"18    11/22/2014  245  Cases_Guinea     NaN   Cases  Guinea   Cases    Guinea\\n\",\n       \"19    11/18/2014  241  Cases_Guinea  2047.0   Cases  Guinea   Cases    Guinea\\n\",\n       \"20    11/16/2014  239  Cases_Guinea  1971.0   Cases  Guinea   Cases    Guinea\\n\",\n       \"21    11/15/2014  238  Cases_Guinea     NaN   Cases  Guinea   Cases    Guinea\\n\",\n       \"22    11/11/2014  234  Cases_Guinea  1919.0   Cases  Guinea   Cases    Guinea\\n\",\n       \"23    11/10/2014  233  Cases_Guinea     NaN   Cases  Guinea   Cases    Guinea\\n\",\n       \"24     11/9/2014  232  Cases_Guinea  1878.0   Cases  Guinea   Cases    Guinea\\n\",\n       \"25     11/8/2014  231  Cases_Guinea     NaN   Cases  Guinea   Cases    Guinea\\n\",\n       \"26     11/4/2014  227  Cases_Guinea     NaN   Cases  Guinea   Cases    Guinea\\n\",\n       \"27     11/3/2014  226  Cases_Guinea  1760.0   Cases  Guinea   Cases    Guinea\\n\",\n       \"28     11/2/2014  225  Cases_Guinea  1731.0   Cases  Guinea   Cases    Guinea\\n\",\n       \"29    10/31/2014  222  Cases_Guinea     NaN   Cases  Guinea   Cases    Guinea\\n\",\n       \"...          ...  ...           ...     ...     ...     ...     ...       ...\\n\",\n       \"1922   5/23/2014   62   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1923   5/12/2014   51   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1924   5/10/2014   49   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1925    5/7/2014   46   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1926    5/5/2014   44   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1927    5/3/2014   42   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1928    5/1/2014   40   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1929   4/26/2014   35   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1930   4/24/2014   33   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1931   4/23/2014   32   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1932   4/22/2014   31   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1933   4/21/2014   30   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1934   4/20/2014   29   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1935   4/17/2014   26   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1936   4/16/2014   25   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1937   4/15/2014   24   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1938   4/14/2014   23   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1939   4/11/2014   20   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1940    4/9/2014   18   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1941    4/7/2014   16   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1942    4/4/2014   13   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1943    4/1/2014   10   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1944   3/31/2014    9   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1945   3/29/2014    7   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1946   3/28/2014    6   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1947   3/27/2014    5   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1948   3/26/2014    4   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1949   3/25/2014    3   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1950   3/24/2014    2   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"1951   3/22/2014    0   Deaths_Mali     NaN  Deaths    Mali  Deaths      Mali\\n\",\n       \"\\n\",\n       \"[1952 rows x 8 columns]\"\n      ]\n     },\n     \"execution_count\": 44,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ebola_long\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"weather = pd.read_csv('../data/weather.csv')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>id</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>month</th>\\n\",\n       \"      <th>element</th>\\n\",\n       \"      <th>d1</th>\\n\",\n       \"      <th>d2</th>\\n\",\n       \"      <th>d3</th>\\n\",\n       \"      <th>d4</th>\\n\",\n       \"      <th>d5</th>\\n\",\n       \"      <th>d6</th>\\n\",\n       \"      <th>...</th>\\n\",\n       \"      <th>d22</th>\\n\",\n       \"      <th>d23</th>\\n\",\n       \"      <th>d24</th>\\n\",\n       \"      <th>d25</th>\\n\",\n       \"      <th>d26</th>\\n\",\n       \"      <th>d27</th>\\n\",\n       \"      <th>d28</th>\\n\",\n       \"      <th>d29</th>\\n\",\n       \"      <th>d30</th>\\n\",\n       \"      <th>d31</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>27.8</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>tmin</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>14.5</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>27.3</td>\\n\",\n       \"      <td>24.1</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>29.9</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>tmin</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>14.4</td>\\n\",\n       \"      <td>14.4</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>10.7</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>32.1</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>5</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>tmin</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>14.2</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>6</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>4</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>36.3</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>7</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>4</td>\\n\",\n       \"      <td>tmin</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>16.7</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>8</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>5</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>33.2</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>9</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>5</td>\\n\",\n       \"      <td>tmin</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>18.2</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>10</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>6</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>30.1</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>11</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>6</td>\\n\",\n       \"      <td>tmin</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>18.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>12</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>7</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>28.6</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>13</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>7</td>\\n\",\n       \"      <td>tmin</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>17.5</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>14</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>8</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>29.6</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>26.4</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>29.7</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>28.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>25.4</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>15</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>8</td>\\n\",\n       \"      <td>tmin</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>15.8</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>15.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>15.6</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>15.3</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>15.4</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>16</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>10</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>27.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>31.2</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>17</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>10</td>\\n\",\n       \"      <td>tmin</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>14.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>15.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>18</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>11</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>31.3</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>27.2</td>\\n\",\n       \"      <td>26.3</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>28.1</td>\\n\",\n       \"      <td>27.7</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>19</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>11</td>\\n\",\n       \"      <td>tmin</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>16.3</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>12.0</td>\\n\",\n       \"      <td>7.9</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>12.1</td>\\n\",\n       \"      <td>14.2</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>20</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>12</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>29.9</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>27.8</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>21</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>12</td>\\n\",\n       \"      <td>tmin</td>\\n\",\n       \"      <td>13.8</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>10.5</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"<p>22 rows × 35 columns</p>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"         id  year  month element    d1    d2    d3    d4    d5    d6  ...   \\\\\\n\",\n       \"0   MX17004  2010      1    tmax   NaN   NaN   NaN   NaN   NaN   NaN  ...    \\n\",\n       \"1   MX17004  2010      1    tmin   NaN   NaN   NaN   NaN   NaN   NaN  ...    \\n\",\n       \"2   MX17004  2010      2    tmax   NaN  27.3  24.1   NaN   NaN   NaN  ...    \\n\",\n       \"3   MX17004  2010      2    tmin   NaN  14.4  14.4   NaN   NaN   NaN  ...    \\n\",\n       \"4   MX17004  2010      3    tmax   NaN   NaN   NaN   NaN  32.1   NaN  ...    \\n\",\n       \"5   MX17004  2010      3    tmin   NaN   NaN   NaN   NaN  14.2   NaN  ...    \\n\",\n       \"6   MX17004  2010      4    tmax   NaN   NaN   NaN   NaN   NaN   NaN  ...    \\n\",\n       \"7   MX17004  2010      4    tmin   NaN   NaN   NaN   NaN   NaN   NaN  ...    \\n\",\n       \"8   MX17004  2010      5    tmax   NaN   NaN   NaN   NaN   NaN   NaN  ...    \\n\",\n       \"9   MX17004  2010      5    tmin   NaN   NaN   NaN   NaN   NaN   NaN  ...    \\n\",\n       \"10  MX17004  2010      6    tmax   NaN   NaN   NaN   NaN   NaN   NaN  ...    \\n\",\n       \"11  MX17004  2010      6    tmin   NaN   NaN   NaN   NaN   NaN   NaN  ...    \\n\",\n       \"12  MX17004  2010      7    tmax   NaN   NaN  28.6   NaN   NaN   NaN  ...    \\n\",\n       \"13  MX17004  2010      7    tmin   NaN   NaN  17.5   NaN   NaN   NaN  ...    \\n\",\n       \"14  MX17004  2010      8    tmax   NaN   NaN   NaN   NaN  29.6   NaN  ...    \\n\",\n       \"15  MX17004  2010      8    tmin   NaN   NaN   NaN   NaN  15.8   NaN  ...    \\n\",\n       \"16  MX17004  2010     10    tmax   NaN   NaN   NaN   NaN  27.0   NaN  ...    \\n\",\n       \"17  MX17004  2010     10    tmin   NaN   NaN   NaN   NaN  14.0   NaN  ...    \\n\",\n       \"18  MX17004  2010     11    tmax   NaN  31.3   NaN  27.2  26.3   NaN  ...    \\n\",\n       \"19  MX17004  2010     11    tmin   NaN  16.3   NaN  12.0   7.9   NaN  ...    \\n\",\n       \"20  MX17004  2010     12    tmax  29.9   NaN   NaN   NaN   NaN  27.8  ...    \\n\",\n       \"21  MX17004  2010     12    tmin  13.8   NaN   NaN   NaN   NaN  10.5  ...    \\n\",\n       \"\\n\",\n       \"    d22   d23  d24   d25   d26   d27   d28   d29   d30   d31  \\n\",\n       \"0   NaN   NaN  NaN   NaN   NaN   NaN   NaN   NaN  27.8   NaN  \\n\",\n       \"1   NaN   NaN  NaN   NaN   NaN   NaN   NaN   NaN  14.5   NaN  \\n\",\n       \"2   NaN  29.9  NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \\n\",\n       \"3   NaN  10.7  NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \\n\",\n       \"4   NaN   NaN  NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \\n\",\n       \"5   NaN   NaN  NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \\n\",\n       \"6   NaN   NaN  NaN   NaN   NaN  36.3   NaN   NaN   NaN   NaN  \\n\",\n       \"7   NaN   NaN  NaN   NaN   NaN  16.7   NaN   NaN   NaN   NaN  \\n\",\n       \"8   NaN   NaN  NaN   NaN   NaN  33.2   NaN   NaN   NaN   NaN  \\n\",\n       \"9   NaN   NaN  NaN   NaN   NaN  18.2   NaN   NaN   NaN   NaN  \\n\",\n       \"10  NaN   NaN  NaN   NaN   NaN   NaN   NaN  30.1   NaN   NaN  \\n\",\n       \"11  NaN   NaN  NaN   NaN   NaN   NaN   NaN  18.0   NaN   NaN  \\n\",\n       \"12  NaN   NaN  NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \\n\",\n       \"13  NaN   NaN  NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \\n\",\n       \"14  NaN  26.4  NaN  29.7   NaN   NaN   NaN  28.0   NaN  25.4  \\n\",\n       \"15  NaN  15.0  NaN  15.6   NaN   NaN   NaN  15.3   NaN  15.4  \\n\",\n       \"16  NaN   NaN  NaN   NaN   NaN   NaN  31.2   NaN   NaN   NaN  \\n\",\n       \"17  NaN   NaN  NaN   NaN   NaN   NaN  15.0   NaN   NaN   NaN  \\n\",\n       \"18  NaN   NaN  NaN   NaN  28.1  27.7   NaN   NaN   NaN   NaN  \\n\",\n       \"19  NaN   NaN  NaN   NaN  12.1  14.2   NaN   NaN   NaN   NaN  \\n\",\n       \"20  NaN   NaN  NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \\n\",\n       \"21  NaN   NaN  NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  \\n\",\n       \"\\n\",\n       \"[22 rows x 35 columns]\"\n      ]\n     },\n     \"execution_count\": 46,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"weather\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 50,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# can use pd.melt, or weather.melt\\n\",\n    \"weather_melt = weather.melt(\\n\",\n    \"    id_vars=['id', 'year', 'month', 'element'],\\n\",\n    \"    var_name='day',\\n\",\n    \"    value_name='temp'\\n\",\n    \")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 51,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>id</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>month</th>\\n\",\n       \"      <th>element</th>\\n\",\n       \"      <th>day</th>\\n\",\n       \"      <th>temp</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>d1</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>tmin</td>\\n\",\n       \"      <td>d1</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>d1</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>tmin</td>\\n\",\n       \"      <td>d1</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>d1</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"        id  year  month element day  temp\\n\",\n       \"0  MX17004  2010      1    tmax  d1   NaN\\n\",\n       \"1  MX17004  2010      1    tmin  d1   NaN\\n\",\n       \"2  MX17004  2010      2    tmax  d1   NaN\\n\",\n       \"3  MX17004  2010      2    tmin  d1   NaN\\n\",\n       \"4  MX17004  2010      3    tmax  d1   NaN\"\n      ]\n     },\n     \"execution_count\": 51,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"weather_melt.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"weather_tidy = weather_melt.pivot_table(\\n\",\n    \"    index=['id', 'year', 'month', 'day'],\\n\",\n    \"    columns='element',\\n\",\n    \"    values='temp'\\n\",\n    \")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th>element</th>\\n\",\n       \"      <th>id</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>month</th>\\n\",\n       \"      <th>day</th>\\n\",\n       \"      <th>tmax</th>\\n\",\n       \"      <th>tmin</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>d30</td>\\n\",\n       \"      <td>27.8</td>\\n\",\n       \"      <td>14.5</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>d11</td>\\n\",\n       \"      <td>29.7</td>\\n\",\n       \"      <td>13.4</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>d2</td>\\n\",\n       \"      <td>27.3</td>\\n\",\n       \"      <td>14.4</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>d23</td>\\n\",\n       \"      <td>29.9</td>\\n\",\n       \"      <td>10.7</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>d3</td>\\n\",\n       \"      <td>24.1</td>\\n\",\n       \"      <td>14.4</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>5</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>d10</td>\\n\",\n       \"      <td>34.5</td>\\n\",\n       \"      <td>16.8</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>6</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>d16</td>\\n\",\n       \"      <td>31.1</td>\\n\",\n       \"      <td>17.6</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>7</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>d5</td>\\n\",\n       \"      <td>32.1</td>\\n\",\n       \"      <td>14.2</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>8</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>4</td>\\n\",\n       \"      <td>d27</td>\\n\",\n       \"      <td>36.3</td>\\n\",\n       \"      <td>16.7</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>9</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>5</td>\\n\",\n       \"      <td>d27</td>\\n\",\n       \"      <td>33.2</td>\\n\",\n       \"      <td>18.2</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>10</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>6</td>\\n\",\n       \"      <td>d17</td>\\n\",\n       \"      <td>28.0</td>\\n\",\n       \"      <td>17.5</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>11</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>6</td>\\n\",\n       \"      <td>d29</td>\\n\",\n       \"      <td>30.1</td>\\n\",\n       \"      <td>18.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>12</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>7</td>\\n\",\n       \"      <td>d3</td>\\n\",\n       \"      <td>28.6</td>\\n\",\n       \"      <td>17.5</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>13</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>7</td>\\n\",\n       \"      <td>d14</td>\\n\",\n       \"      <td>29.9</td>\\n\",\n       \"      <td>16.5</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>14</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>8</td>\\n\",\n       \"      <td>d23</td>\\n\",\n       \"      <td>26.4</td>\\n\",\n       \"      <td>15.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>15</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>8</td>\\n\",\n       \"      <td>d5</td>\\n\",\n       \"      <td>29.6</td>\\n\",\n       \"      <td>15.8</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>16</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>8</td>\\n\",\n       \"      <td>d29</td>\\n\",\n       \"      <td>28.0</td>\\n\",\n       \"      <td>15.3</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>17</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>8</td>\\n\",\n       \"      <td>d13</td>\\n\",\n       \"      <td>29.8</td>\\n\",\n       \"      <td>16.5</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>18</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>8</td>\\n\",\n       \"      <td>d25</td>\\n\",\n       \"      <td>29.7</td>\\n\",\n       \"      <td>15.6</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>19</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>8</td>\\n\",\n       \"      <td>d31</td>\\n\",\n       \"      <td>25.4</td>\\n\",\n       \"      <td>15.4</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>20</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>8</td>\\n\",\n       \"      <td>d8</td>\\n\",\n       \"      <td>29.0</td>\\n\",\n       \"      <td>17.3</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>21</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>10</td>\\n\",\n       \"      <td>d5</td>\\n\",\n       \"      <td>27.0</td>\\n\",\n       \"      <td>14.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>22</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>10</td>\\n\",\n       \"      <td>d14</td>\\n\",\n       \"      <td>29.5</td>\\n\",\n       \"      <td>13.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>23</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>10</td>\\n\",\n       \"      <td>d15</td>\\n\",\n       \"      <td>28.7</td>\\n\",\n       \"      <td>10.5</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>24</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>10</td>\\n\",\n       \"      <td>d28</td>\\n\",\n       \"      <td>31.2</td>\\n\",\n       \"      <td>15.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>25</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>10</td>\\n\",\n       \"      <td>d7</td>\\n\",\n       \"      <td>28.1</td>\\n\",\n       \"      <td>12.9</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>26</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>11</td>\\n\",\n       \"      <td>d2</td>\\n\",\n       \"      <td>31.3</td>\\n\",\n       \"      <td>16.3</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>27</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>11</td>\\n\",\n       \"      <td>d5</td>\\n\",\n       \"      <td>26.3</td>\\n\",\n       \"      <td>7.9</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>28</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>11</td>\\n\",\n       \"      <td>d27</td>\\n\",\n       \"      <td>27.7</td>\\n\",\n       \"      <td>14.2</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>29</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>11</td>\\n\",\n       \"      <td>d26</td>\\n\",\n       \"      <td>28.1</td>\\n\",\n       \"      <td>12.1</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>30</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>11</td>\\n\",\n       \"      <td>d4</td>\\n\",\n       \"      <td>27.2</td>\\n\",\n       \"      <td>12.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>31</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>12</td>\\n\",\n       \"      <td>d1</td>\\n\",\n       \"      <td>29.9</td>\\n\",\n       \"      <td>13.8</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>32</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>12</td>\\n\",\n       \"      <td>d6</td>\\n\",\n       \"      <td>27.8</td>\\n\",\n       \"      <td>10.5</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"element       id  year  month  day  tmax  tmin\\n\",\n       \"0        MX17004  2010      1  d30  27.8  14.5\\n\",\n       \"1        MX17004  2010      2  d11  29.7  13.4\\n\",\n       \"2        MX17004  2010      2   d2  27.3  14.4\\n\",\n       \"3        MX17004  2010      2  d23  29.9  10.7\\n\",\n       \"4        MX17004  2010      2   d3  24.1  14.4\\n\",\n       \"5        MX17004  2010      3  d10  34.5  16.8\\n\",\n       \"6        MX17004  2010      3  d16  31.1  17.6\\n\",\n       \"7        MX17004  2010      3   d5  32.1  14.2\\n\",\n       \"8        MX17004  2010      4  d27  36.3  16.7\\n\",\n       \"9        MX17004  2010      5  d27  33.2  18.2\\n\",\n       \"10       MX17004  2010      6  d17  28.0  17.5\\n\",\n       \"11       MX17004  2010      6  d29  30.1  18.0\\n\",\n       \"12       MX17004  2010      7   d3  28.6  17.5\\n\",\n       \"13       MX17004  2010      7  d14  29.9  16.5\\n\",\n       \"14       MX17004  2010      8  d23  26.4  15.0\\n\",\n       \"15       MX17004  2010      8   d5  29.6  15.8\\n\",\n       \"16       MX17004  2010      8  d29  28.0  15.3\\n\",\n       \"17       MX17004  2010      8  d13  29.8  16.5\\n\",\n       \"18       MX17004  2010      8  d25  29.7  15.6\\n\",\n       \"19       MX17004  2010      8  d31  25.4  15.4\\n\",\n       \"20       MX17004  2010      8   d8  29.0  17.3\\n\",\n       \"21       MX17004  2010     10   d5  27.0  14.0\\n\",\n       \"22       MX17004  2010     10  d14  29.5  13.0\\n\",\n       \"23       MX17004  2010     10  d15  28.7  10.5\\n\",\n       \"24       MX17004  2010     10  d28  31.2  15.0\\n\",\n       \"25       MX17004  2010     10   d7  28.1  12.9\\n\",\n       \"26       MX17004  2010     11   d2  31.3  16.3\\n\",\n       \"27       MX17004  2010     11   d5  26.3   7.9\\n\",\n       \"28       MX17004  2010     11  d27  27.7  14.2\\n\",\n       \"29       MX17004  2010     11  d26  28.1  12.1\\n\",\n       \"30       MX17004  2010     11   d4  27.2  12.0\\n\",\n       \"31       MX17004  2010     12   d1  29.9  13.8\\n\",\n       \"32       MX17004  2010     12   d6  27.8  10.5\"\n      ]\n     },\n     \"execution_count\": 54,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"weather_tidy.reset_index()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 56,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>artist</th>\\n\",\n       \"      <th>track</th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>date.entered</th>\\n\",\n       \"      <th>week</th>\\n\",\n       \"      <th>rating</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2Ge+her</td>\\n\",\n       \"      <td>The Hardest Part Of ...</td>\\n\",\n       \"      <td>3:15</td>\\n\",\n       \"      <td>2000-09-02</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>91.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Kryptonite</td>\\n\",\n       \"      <td>3:53</td>\\n\",\n       \"      <td>2000-04-08</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>81.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>76.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>504 Boyz</td>\\n\",\n       \"      <td>Wobble Wobble</td>\\n\",\n       \"      <td>3:35</td>\\n\",\n       \"      <td>2000-04-15</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>57.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   year        artist                    track  time date.entered week  rating\\n\",\n       \"0  2000         2 Pac  Baby Don't Cry (Keep...  4:22   2000-02-26  wk1    87.0\\n\",\n       \"1  2000       2Ge+her  The Hardest Part Of ...  3:15   2000-09-02  wk1    91.0\\n\",\n       \"2  2000  3 Doors Down               Kryptonite  3:53   2000-04-08  wk1    81.0\\n\",\n       \"3  2000  3 Doors Down                    Loser  4:24   2000-10-21  wk1    76.0\\n\",\n       \"4  2000      504 Boyz            Wobble Wobble  3:35   2000-04-15  wk1    57.0\"\n      ]\n     },\n     \"execution_count\": 56,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_melt.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>artist</th>\\n\",\n       \"      <th>track</th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      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Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk3</td>\\n\",\n       \"      <td>72.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>954</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk4</td>\\n\",\n       \"      <td>69.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1271</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk5</td>\\n\",\n       \"      <td>67.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      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\"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2539</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk9</td>\\n\",\n       \"      <td>62.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2856</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk10</td>\\n\",\n       \"      <td>61.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3173</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      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     \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk20</td>\\n\",\n       \"      <td>70.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>6343</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk21</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>6660</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk22</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>6977</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk23</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>7294</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk24</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>7611</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk25</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>7928</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk26</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>8245</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk27</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>8562</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      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 \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>14585</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk47</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>14902</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk48</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>15219</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk49</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>15536</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk50</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>15853</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk51</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>16170</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk52</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>16487</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk53</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>16804</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk54</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>17121</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk55</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>17438</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk56</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>17755</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk57</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>18072</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk58</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>18389</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk59</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>18706</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk60</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>19023</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk61</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>19340</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk62</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>19657</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk63</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>19974</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk64</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>20291</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk65</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>20608</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk66</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>20925</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk67</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>21242</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk68</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>21559</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk69</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>21876</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk70</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>22193</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk71</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>22510</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk72</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>22827</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk73</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>23144</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk74</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>23461</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk75</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>23778</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk76</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"<p>76 rows × 7 columns</p>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"       year        artist  track  time date.entered  week  rating\\n\",\n       \"3      2000  3 Doors Down  Loser  4:24   2000-10-21   wk1    76.0\\n\",\n       \"320    2000  3 Doors Down  Loser  4:24   2000-10-21   wk2    76.0\\n\",\n       \"637    2000  3 Doors Down  Loser  4:24   2000-10-21   wk3    72.0\\n\",\n       \"954    2000  3 Doors Down  Loser  4:24   2000-10-21   wk4    69.0\\n\",\n       \"1271   2000  3 Doors Down  Loser  4:24   2000-10-21   wk5    67.0\\n\",\n       \"1588   2000  3 Doors Down  Loser  4:24   2000-10-21   wk6    65.0\\n\",\n       \"1905   2000  3 Doors Down  Loser  4:24   2000-10-21   wk7    55.0\\n\",\n       \"2222   2000  3 Doors Down  Loser  4:24   2000-10-21   wk8    59.0\\n\",\n       \"2539   2000  3 Doors Down  Loser  4:24   2000-10-21   wk9    62.0\\n\",\n       \"2856   2000  3 Doors Down  Loser  4:24   2000-10-21  wk10    61.0\\n\",\n       \"3173   2000  3 Doors Down  Loser  4:24   2000-10-21  wk11    61.0\\n\",\n       \"3490   2000  3 Doors Down  Loser  4:24   2000-10-21  wk12    59.0\\n\",\n       \"3807   2000  3 Doors Down  Loser  4:24   2000-10-21  wk13    61.0\\n\",\n       \"4124   2000  3 Doors Down  Loser  4:24   2000-10-21  wk14    66.0\\n\",\n       \"4441   2000  3 Doors Down  Loser  4:24   2000-10-21  wk15    72.0\\n\",\n       \"4758   2000  3 Doors Down  Loser  4:24   2000-10-21  wk16    76.0\\n\",\n       \"5075   2000  3 Doors Down  Loser  4:24   2000-10-21  wk17    75.0\\n\",\n       \"5392   2000  3 Doors Down  Loser  4:24   2000-10-21  wk18    67.0\\n\",\n       \"5709   2000  3 Doors Down  Loser  4:24   2000-10-21  wk19    73.0\\n\",\n       \"6026   2000  3 Doors Down  Loser  4:24   2000-10-21  wk20    70.0\\n\",\n       \"6343   2000  3 Doors Down  Loser  4:24   2000-10-21  wk21     NaN\\n\",\n       \"6660   2000  3 Doors Down  Loser  4:24   2000-10-21  wk22     NaN\\n\",\n       \"6977   2000  3 Doors Down  Loser  4:24   2000-10-21  wk23     NaN\\n\",\n       \"7294   2000  3 Doors Down  Loser  4:24   2000-10-21  wk24     NaN\\n\",\n       \"7611   2000  3 Doors Down  Loser  4:24   2000-10-21  wk25     NaN\\n\",\n       \"7928   2000  3 Doors Down  Loser  4:24   2000-10-21  wk26     NaN\\n\",\n       \"8245   2000  3 Doors Down  Loser  4:24   2000-10-21  wk27     NaN\\n\",\n       \"8562   2000  3 Doors Down  Loser  4:24   2000-10-21  wk28     NaN\\n\",\n       \"8879   2000  3 Doors Down  Loser  4:24   2000-10-21  wk29     NaN\\n\",\n       \"9196   2000  3 Doors Down  Loser  4:24   2000-10-21  wk30     NaN\\n\",\n       \"...     ...           ...    ...   ...          ...   ...     ...\\n\",\n       \"14585  2000  3 Doors Down  Loser  4:24   2000-10-21  wk47     NaN\\n\",\n       \"14902  2000  3 Doors Down  Loser  4:24   2000-10-21  wk48     NaN\\n\",\n       \"15219  2000  3 Doors Down  Loser  4:24   2000-10-21  wk49     NaN\\n\",\n       \"15536  2000  3 Doors Down  Loser  4:24   2000-10-21  wk50     NaN\\n\",\n       \"15853  2000  3 Doors Down  Loser  4:24   2000-10-21  wk51     NaN\\n\",\n       \"16170  2000  3 Doors Down  Loser  4:24   2000-10-21  wk52     NaN\\n\",\n       \"16487  2000  3 Doors Down  Loser  4:24   2000-10-21  wk53     NaN\\n\",\n       \"16804  2000  3 Doors Down  Loser  4:24   2000-10-21  wk54     NaN\\n\",\n       \"17121  2000  3 Doors Down  Loser  4:24   2000-10-21  wk55     NaN\\n\",\n       \"17438  2000  3 Doors Down  Loser  4:24   2000-10-21  wk56     NaN\\n\",\n       \"17755  2000  3 Doors Down  Loser  4:24   2000-10-21  wk57     NaN\\n\",\n       \"18072  2000  3 Doors Down  Loser  4:24   2000-10-21  wk58     NaN\\n\",\n       \"18389  2000  3 Doors Down  Loser  4:24   2000-10-21  wk59     NaN\\n\",\n       \"18706  2000  3 Doors Down  Loser  4:24   2000-10-21  wk60     NaN\\n\",\n       \"19023  2000  3 Doors Down  Loser  4:24   2000-10-21  wk61     NaN\\n\",\n       \"19340  2000  3 Doors Down  Loser  4:24   2000-10-21  wk62     NaN\\n\",\n       \"19657  2000  3 Doors Down  Loser  4:24   2000-10-21  wk63     NaN\\n\",\n       \"19974  2000  3 Doors Down  Loser  4:24   2000-10-21  wk64     NaN\\n\",\n       \"20291  2000  3 Doors Down  Loser  4:24   2000-10-21  wk65     NaN\\n\",\n       \"20608  2000  3 Doors Down  Loser  4:24   2000-10-21  wk66     NaN\\n\",\n       \"20925  2000  3 Doors Down  Loser  4:24   2000-10-21  wk67     NaN\\n\",\n       \"21242  2000  3 Doors Down  Loser  4:24   2000-10-21  wk68     NaN\\n\",\n       \"21559  2000  3 Doors Down  Loser  4:24   2000-10-21  wk69     NaN\\n\",\n       \"21876  2000  3 Doors Down  Loser  4:24   2000-10-21  wk70     NaN\\n\",\n       \"22193  2000  3 Doors Down  Loser  4:24   2000-10-21  wk71     NaN\\n\",\n       \"22510  2000  3 Doors Down  Loser  4:24   2000-10-21  wk72     NaN\\n\",\n       \"22827  2000  3 Doors Down  Loser  4:24   2000-10-21  wk73     NaN\\n\",\n       \"23144  2000  3 Doors Down  Loser  4:24   2000-10-21  wk74     NaN\\n\",\n       \"23461  2000  3 Doors Down  Loser  4:24   2000-10-21  wk75     NaN\\n\",\n       \"23778  2000  3 Doors Down  Loser  4:24   2000-10-21  wk76     NaN\\n\",\n       \"\\n\",\n       \"[76 rows x 7 columns]\"\n      ]\n     },\n     \"execution_count\": 58,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_melt.loc[billboard_melt['track'] == 'Loser']\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"billboard_songs = billboard_melt[['year', 'artist', 'track', 'time']]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 60,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>artist</th>\\n\",\n       \"      <th>track</th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2Ge+her</td>\\n\",\n       \"      <td>The Hardest Part Of ...</td>\\n\",\n       \"      <td>3:15</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Kryptonite</td>\\n\",\n       \"      <td>3:53</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>504 Boyz</td>\\n\",\n       \"      <td>Wobble Wobble</td>\\n\",\n       \"      <td>3:35</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   year        artist                    track  time\\n\",\n       \"0  2000         2 Pac  Baby Don't Cry (Keep...  4:22\\n\",\n       \"1  2000       2Ge+her  The Hardest Part Of ...  3:15\\n\",\n       \"2  2000  3 Doors Down               Kryptonite  3:53\\n\",\n       \"3  2000  3 Doors Down                    Loser  4:24\\n\",\n       \"4  2000      504 Boyz            Wobble Wobble  3:35\"\n      ]\n     },\n     \"execution_count\": 60,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_songs.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(24092, 4)\"\n      ]\n     },\n     \"execution_count\": 61,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_songs.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 63,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"billboard_songs = billboard_songs.drop_duplicates()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(317, 4)\"\n      ]\n     },\n     \"execution_count\": 64,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_songs.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 65,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"billboard_songs['id'] = range(len(billboard_songs))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 66,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>artist</th>\\n\",\n       \"      <th>track</th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>id</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2Ge+her</td>\\n\",\n       \"      <td>The Hardest Part Of ...</td>\\n\",\n       \"      <td>3:15</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Kryptonite</td>\\n\",\n       \"      <td>3:53</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>504 Boyz</td>\\n\",\n       \"      <td>Wobble Wobble</td>\\n\",\n       \"      <td>3:35</td>\\n\",\n       \"      <td>4</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   year        artist                    track  time  id\\n\",\n       \"0  2000         2 Pac  Baby Don't Cry (Keep...  4:22   0\\n\",\n       \"1  2000       2Ge+her  The Hardest Part Of ...  3:15   1\\n\",\n       \"2  2000  3 Doors Down               Kryptonite  3:53   2\\n\",\n       \"3  2000  3 Doors Down                    Loser  4:24   3\\n\",\n       \"4  2000      504 Boyz            Wobble Wobble  3:35   4\"\n      ]\n     },\n     \"execution_count\": 66,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_songs.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 67,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"billboard_songs.to_csv('billboard_songs.csv', index=False)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 68,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"billboard_ratings = billboard_melt.merge(\\n\",\n    \"    billboard_songs, on=['year', 'artist', 'track', 'time']\\n\",\n    \")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 69,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>artist</th>\\n\",\n       \"      <th>track</th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>date.entered</th>\\n\",\n       \"      <th>week</th>\\n\",\n       \"      <th>rating</th>\\n\",\n       \"      <th>id</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk2</td>\\n\",\n       \"      <td>82.0</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk3</td>\\n\",\n       \"      <td>72.0</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk4</td>\\n\",\n       \"      <td>77.0</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk5</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   year artist                    track  time date.entered week  rating  id\\n\",\n       \"0  2000  2 Pac  Baby Don't Cry (Keep...  4:22   2000-02-26  wk1    87.0   0\\n\",\n       \"1  2000  2 Pac  Baby Don't Cry (Keep...  4:22   2000-02-26  wk2    82.0   0\\n\",\n       \"2  2000  2 Pac  Baby Don't Cry (Keep...  4:22   2000-02-26  wk3    72.0   0\\n\",\n       \"3  2000  2 Pac  Baby Don't Cry (Keep...  4:22   2000-02-26  wk4    77.0   0\\n\",\n       \"4  2000  2 Pac  Baby Don't Cry (Keep...  4:22   2000-02-26  wk5    87.0   0\"\n      ]\n     },\n     \"execution_count\": 69,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_ratings.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 70,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"billboard_ratings = billboard_ratings[['id', 'date.entered', 'week', 'rating']]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 73,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"billboard_ratings.to_csv('billboard_ratings.csv', index=False)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 74,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"<class 'pandas.core.frame.DataFrame'>\\n\",\n      \"Int64Index: 24092 entries, 0 to 24091\\n\",\n      \"Data columns (total 4 columns):\\n\",\n      \"id              24092 non-null int64\\n\",\n      \"date.entered    24092 non-null object\\n\",\n      \"week            24092 non-null object\\n\",\n      \"rating          5307 non-null float64\\n\",\n      \"dtypes: float64(1), int64(1), object(2)\\n\",\n      \"memory usage: 941.1+ KB\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"billboard_ratings.info()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 75,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"<class 'pandas.core.frame.DataFrame'>\\n\",\n      \"Int64Index: 317 entries, 0 to 316\\n\",\n      \"Data columns (total 5 columns):\\n\",\n      \"year      317 non-null int64\\n\",\n      \"artist    317 non-null object\\n\",\n      \"track     317 non-null object\\n\",\n      \"time      317 non-null object\\n\",\n      \"id        317 non-null int64\\n\",\n      \"dtypes: int64(2), object(3)\\n\",\n      \"memory usage: 14.9+ KB\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"billboard_songs.info()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 76,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"<class 'pandas.core.frame.DataFrame'>\\n\",\n      \"RangeIndex: 24092 entries, 0 to 24091\\n\",\n      \"Data columns (total 7 columns):\\n\",\n      \"year            24092 non-null int64\\n\",\n      \"artist          24092 non-null object\\n\",\n      \"track           24092 non-null object\\n\",\n      \"time            24092 non-null object\\n\",\n      \"date.entered    24092 non-null object\\n\",\n      \"week            24092 non-null object\\n\",\n      \"rating          5307 non-null float64\\n\",\n      \"dtypes: float64(1), int64(1), object(5)\\n\",\n      \"memory usage: 1.3+ MB\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"billboard_melt.info()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 80,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"weather_tidy = (weather_melt.pivot_table(\\n\",\n    \"    index=['id', 'year', 'month', 'day'],\\n\",\n    \"    columns='element',\\n\",\n    \"    values='temp')\\n\",\n    \"                \\n\",\n    \"                .reset_index()\\n\",\n    \")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 81,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"pandas.core.frame.DataFrame\"\n      ]\n     },\n     \"execution_count\": 81,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(weather_tidy.select())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 82,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th>element</th>\\n\",\n       \"      <th>id</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>month</th>\\n\",\n       \"      <th>day</th>\\n\",\n       \"      <th>tmax</th>\\n\",\n       \"      <th>tmin</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>d30</td>\\n\",\n       \"      <td>27.8</td>\\n\",\n       \"      <td>14.5</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>d11</td>\\n\",\n       \"      <td>29.7</td>\\n\",\n       \"      <td>13.4</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>d2</td>\\n\",\n       \"      <td>27.3</td>\\n\",\n       \"      <td>14.4</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>d23</td>\\n\",\n       \"      <td>29.9</td>\\n\",\n       \"      <td>10.7</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>d3</td>\\n\",\n       \"      <td>24.1</td>\\n\",\n       \"      <td>14.4</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>5</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>d10</td>\\n\",\n       \"      <td>34.5</td>\\n\",\n       \"      <td>16.8</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>6</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>d16</td>\\n\",\n       \"      <td>31.1</td>\\n\",\n       \"      <td>17.6</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>7</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>d5</td>\\n\",\n       \"      <td>32.1</td>\\n\",\n       \"      <td>14.2</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>8</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>4</td>\\n\",\n       \"      <td>d27</td>\\n\",\n       \"      <td>36.3</td>\\n\",\n       \"      <td>16.7</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>9</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>5</td>\\n\",\n       \"      <td>d27</td>\\n\",\n       \"      <td>33.2</td>\\n\",\n       \"      <td>18.2</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>10</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>6</td>\\n\",\n       \"      <td>d17</td>\\n\",\n       \"      <td>28.0</td>\\n\",\n       \"      <td>17.5</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>11</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>6</td>\\n\",\n       \"      <td>d29</td>\\n\",\n       \"      <td>30.1</td>\\n\",\n       \"      <td>18.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>12</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>7</td>\\n\",\n       \"      <td>d3</td>\\n\",\n       \"      <td>28.6</td>\\n\",\n       \"      <td>17.5</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>13</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>7</td>\\n\",\n       \"      <td>d14</td>\\n\",\n       \"      <td>29.9</td>\\n\",\n       \"      <td>16.5</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>14</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>8</td>\\n\",\n       \"      <td>d23</td>\\n\",\n       \"      <td>26.4</td>\\n\",\n       \"      <td>15.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>15</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>8</td>\\n\",\n       \"      <td>d5</td>\\n\",\n       \"      <td>29.6</td>\\n\",\n       \"      <td>15.8</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>16</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>8</td>\\n\",\n       \"      <td>d29</td>\\n\",\n       \"      <td>28.0</td>\\n\",\n       \"      <td>15.3</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>17</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>8</td>\\n\",\n       \"      <td>d13</td>\\n\",\n       \"      <td>29.8</td>\\n\",\n       \"      <td>16.5</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>18</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>8</td>\\n\",\n       \"      <td>d25</td>\\n\",\n       \"      <td>29.7</td>\\n\",\n       \"      <td>15.6</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>19</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>8</td>\\n\",\n       \"      <td>d31</td>\\n\",\n       \"      <td>25.4</td>\\n\",\n       \"      <td>15.4</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>20</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>8</td>\\n\",\n       \"      <td>d8</td>\\n\",\n       \"      <td>29.0</td>\\n\",\n       \"      <td>17.3</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>21</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>10</td>\\n\",\n       \"      <td>d5</td>\\n\",\n       \"      <td>27.0</td>\\n\",\n       \"      <td>14.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>22</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>10</td>\\n\",\n       \"      <td>d14</td>\\n\",\n       \"      <td>29.5</td>\\n\",\n       \"      <td>13.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>23</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>10</td>\\n\",\n       \"      <td>d15</td>\\n\",\n       \"      <td>28.7</td>\\n\",\n       \"      <td>10.5</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>24</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>10</td>\\n\",\n       \"      <td>d28</td>\\n\",\n       \"      <td>31.2</td>\\n\",\n       \"      <td>15.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>25</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>10</td>\\n\",\n       \"      <td>d7</td>\\n\",\n       \"      <td>28.1</td>\\n\",\n       \"      <td>12.9</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>26</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>11</td>\\n\",\n       \"      <td>d2</td>\\n\",\n       \"      <td>31.3</td>\\n\",\n       \"      <td>16.3</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>27</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>11</td>\\n\",\n       \"      <td>d5</td>\\n\",\n       \"      <td>26.3</td>\\n\",\n       \"      <td>7.9</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>28</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>11</td>\\n\",\n       \"      <td>d27</td>\\n\",\n       \"      <td>27.7</td>\\n\",\n       \"      <td>14.2</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>29</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>11</td>\\n\",\n       \"      <td>d26</td>\\n\",\n       \"      <td>28.1</td>\\n\",\n       \"      <td>12.1</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>30</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>11</td>\\n\",\n       \"      <td>d4</td>\\n\",\n       \"      <td>27.2</td>\\n\",\n       \"      <td>12.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>31</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>12</td>\\n\",\n       \"      <td>d1</td>\\n\",\n       \"      <td>29.9</td>\\n\",\n       \"      <td>13.8</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>32</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>12</td>\\n\",\n       \"      <td>d6</td>\\n\",\n       \"      <td>27.8</td>\\n\",\n       \"      <td>10.5</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"element       id  year  month  day  tmax  tmin\\n\",\n       \"0        MX17004  2010      1  d30  27.8  14.5\\n\",\n       \"1        MX17004  2010      2  d11  29.7  13.4\\n\",\n       \"2        MX17004  2010      2   d2  27.3  14.4\\n\",\n       \"3        MX17004  2010      2  d23  29.9  10.7\\n\",\n       \"4        MX17004  2010      2   d3  24.1  14.4\\n\",\n       \"5        MX17004  2010      3  d10  34.5  16.8\\n\",\n       \"6        MX17004  2010      3  d16  31.1  17.6\\n\",\n       \"7        MX17004  2010      3   d5  32.1  14.2\\n\",\n       \"8        MX17004  2010      4  d27  36.3  16.7\\n\",\n       \"9        MX17004  2010      5  d27  33.2  18.2\\n\",\n       \"10       MX17004  2010      6  d17  28.0  17.5\\n\",\n       \"11       MX17004  2010      6  d29  30.1  18.0\\n\",\n       \"12       MX17004  2010      7   d3  28.6  17.5\\n\",\n       \"13       MX17004  2010      7  d14  29.9  16.5\\n\",\n       \"14       MX17004  2010      8  d23  26.4  15.0\\n\",\n       \"15       MX17004  2010      8   d5  29.6  15.8\\n\",\n       \"16       MX17004  2010      8  d29  28.0  15.3\\n\",\n       \"17       MX17004  2010      8  d13  29.8  16.5\\n\",\n       \"18       MX17004  2010      8  d25  29.7  15.6\\n\",\n       \"19       MX17004  2010      8  d31  25.4  15.4\\n\",\n       \"20       MX17004  2010      8   d8  29.0  17.3\\n\",\n       \"21       MX17004  2010     10   d5  27.0  14.0\\n\",\n       \"22       MX17004  2010     10  d14  29.5  13.0\\n\",\n       \"23       MX17004  2010     10  d15  28.7  10.5\\n\",\n       \"24       MX17004  2010     10  d28  31.2  15.0\\n\",\n       \"25       MX17004  2010     10   d7  28.1  12.9\\n\",\n       \"26       MX17004  2010     11   d2  31.3  16.3\\n\",\n       \"27       MX17004  2010     11   d5  26.3   7.9\\n\",\n       \"28       MX17004  2010     11  d27  27.7  14.2\\n\",\n       \"29       MX17004  2010     11  d26  28.1  12.1\\n\",\n       \"30       MX17004  2010     11   d4  27.2  12.0\\n\",\n       \"31       MX17004  2010     12   d1  29.9  13.8\\n\",\n       \"32       MX17004  2010     12   d6  27.8  10.5\"\n      ]\n     },\n     \"execution_count\": 82,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"weather_tidy\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": []\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.6.6\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 2\n}\n"
  },
  {
    "path": "notes/.gitignore",
    "content": "*.csv\n\n"
  },
  {
    "path": "notes/01-intro.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:41.943589Z\",\n     \"start_time\": \"2018-11-16T13:41:41.364770Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import pandas\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:41.975282Z\",\n     \"start_time\": \"2018-11-16T13:41:41.945739Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df = pandas.read_csv('../data/gapminder.tsv', sep='\\\\t')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:42.031946Z\",\n     \"start_time\": \"2018-11-16T13:41:41.983148Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>country</th>\\n\",\n       \"      <th>continent</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>lifeExp</th>\\n\",\n       \"      <th>pop</th>\\n\",\n       \"      <th>gdpPercap</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1952</td>\\n\",\n       \"      <td>28.801</td>\\n\",\n       \"      <td>8425333</td>\\n\",\n       \"      <td>779.445314</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1957</td>\\n\",\n       \"      <td>30.332</td>\\n\",\n       \"      <td>9240934</td>\\n\",\n       \"      <td>820.853030</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1962</td>\\n\",\n       \"      <td>31.997</td>\\n\",\n       \"      <td>10267083</td>\\n\",\n       \"      <td>853.100710</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>34.020</td>\\n\",\n       \"      <td>11537966</td>\\n\",\n       \"      <td>836.197138</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1972</td>\\n\",\n       \"      <td>36.088</td>\\n\",\n       \"      <td>13079460</td>\\n\",\n       \"      <td>739.981106</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"       country continent  year  lifeExp       pop   gdpPercap\\n\",\n       \"0  Afghanistan      Asia  1952   28.801   8425333  779.445314\\n\",\n       \"1  Afghanistan      Asia  1957   30.332   9240934  820.853030\\n\",\n       \"2  Afghanistan      Asia  1962   31.997  10267083  853.100710\\n\",\n       \"3  Afghanistan      Asia  1967   34.020  11537966  836.197138\\n\",\n       \"4  Afghanistan      Asia  1972   36.088  13079460  739.981106\"\n      ]\n     },\n     \"execution_count\": 3,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:42.058022Z\",\n     \"start_time\": \"2018-11-16T13:41:42.046218Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import pandas as pd\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:42.088409Z\",\n     \"start_time\": \"2018-11-16T13:41:42.067778Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df = pd.read_csv('../data/gapminder.tsv', sep='\\\\t')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:42.130603Z\",\n     \"start_time\": \"2018-11-16T13:41:42.096159Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>country</th>\\n\",\n       \"      <th>continent</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>lifeExp</th>\\n\",\n       \"      <th>pop</th>\\n\",\n       \"      <th>gdpPercap</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1952</td>\\n\",\n       \"      <td>28.801</td>\\n\",\n       \"      <td>8425333</td>\\n\",\n       \"      <td>779.445314</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1957</td>\\n\",\n       \"      <td>30.332</td>\\n\",\n       \"      <td>9240934</td>\\n\",\n       \"      <td>820.853030</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1962</td>\\n\",\n       \"      <td>31.997</td>\\n\",\n       \"      <td>10267083</td>\\n\",\n       \"      <td>853.100710</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>34.020</td>\\n\",\n       \"      <td>11537966</td>\\n\",\n       \"      <td>836.197138</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1972</td>\\n\",\n       \"      <td>36.088</td>\\n\",\n       \"      <td>13079460</td>\\n\",\n       \"      <td>739.981106</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"       country continent  year  lifeExp       pop   gdpPercap\\n\",\n       \"0  Afghanistan      Asia  1952   28.801   8425333  779.445314\\n\",\n       \"1  Afghanistan      Asia  1957   30.332   9240934  820.853030\\n\",\n       \"2  Afghanistan      Asia  1962   31.997  10267083  853.100710\\n\",\n       \"3  Afghanistan      Asia  1967   34.020  11537966  836.197138\\n\",\n       \"4  Afghanistan      Asia  1972   36.088  13079460  739.981106\"\n      ]\n     },\n     \"execution_count\": 6,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:42.169331Z\",\n     \"start_time\": \"2018-11-16T13:41:42.135804Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"pandas.core.frame.DataFrame\"\n      ]\n     },\n     \"execution_count\": 7,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(df)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:42.179276Z\",\n     \"start_time\": \"2018-11-16T13:41:42.173211Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(1704, 6)\"\n      ]\n     },\n     \"execution_count\": 8,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:42.364731Z\",\n     \"start_time\": \"2018-11-16T13:41:42.183045Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"ename\": \"TypeError\",\n     \"evalue\": \"'tuple' object is not callable\",\n     \"output_type\": \"error\",\n     \"traceback\": [\n      \"\\u001b[0;31m---------------------------------------------------------------------------\\u001b[0m\",\n      \"\\u001b[0;31mTypeError\\u001b[0m                                 Traceback (most recent call last)\",\n      \"\\u001b[0;32m<ipython-input-9-0e566b70f572>\\u001b[0m in \\u001b[0;36m<module>\\u001b[0;34m()\\u001b[0m\\n\\u001b[0;32m----> 1\\u001b[0;31m \\u001b[0mdf\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0mshape\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0m\",\n      \"\\u001b[0;31mTypeError\\u001b[0m: 'tuple' object is not callable\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"df.shape()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:48.892511Z\",\n     \"start_time\": \"2018-11-16T13:41:48.885910Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Index(['country', 'continent', 'year', 'lifeExp', 'pop', 'gdpPercap'], dtype='object')\"\n      ]\n     },\n     \"execution_count\": 10,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.columns\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:49.133232Z\",\n     \"start_time\": \"2018-11-16T13:41:49.126092Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"RangeIndex(start=0, stop=1704, step=1)\"\n      ]\n     },\n     \"execution_count\": 11,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.index\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:49.321950Z\",\n     \"start_time\": \"2018-11-16T13:41:49.314437Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([['Afghanistan', 'Asia', 1952, 28.801, 8425333, 779.4453145],\\n\",\n       \"       ['Afghanistan', 'Asia', 1957, 30.331999999999997, 9240934,\\n\",\n       \"        820.8530296],\\n\",\n       \"       ['Afghanistan', 'Asia', 1962, 31.997, 10267083, 853.1007099999999],\\n\",\n       \"       ...,\\n\",\n       \"       ['Zimbabwe', 'Africa', 1997, 46.809, 11404948, 792.4499602999999],\\n\",\n       \"       ['Zimbabwe', 'Africa', 2002, 39.989000000000004, 11926563,\\n\",\n       \"        672.0386227000001],\\n\",\n       \"       ['Zimbabwe', 'Africa', 2007, 43.486999999999995, 12311143,\\n\",\n       \"        469.70929810000007]], dtype=object)\"\n      ]\n     },\n     \"execution_count\": 12,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.values\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:49.530004Z\",\n     \"start_time\": \"2018-11-16T13:41:49.521398Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"country       object\\n\",\n       \"continent     object\\n\",\n       \"year           int64\\n\",\n       \"lifeExp      float64\\n\",\n       \"pop            int64\\n\",\n       \"gdpPercap    float64\\n\",\n       \"dtype: object\"\n      ]\n     },\n     \"execution_count\": 13,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.dtypes\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:50.261109Z\",\n     \"start_time\": \"2018-11-16T13:41:50.248715Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"<class 'pandas.core.frame.DataFrame'>\\n\",\n      \"RangeIndex: 1704 entries, 0 to 1703\\n\",\n      \"Data columns (total 6 columns):\\n\",\n      \"country      1704 non-null object\\n\",\n      \"continent    1704 non-null object\\n\",\n      \"year         1704 non-null int64\\n\",\n      \"lifeExp      1704 non-null float64\\n\",\n      \"pop          1704 non-null int64\\n\",\n      \"gdpPercap    1704 non-null float64\\n\",\n      \"dtypes: float64(2), int64(2), object(2)\\n\",\n      \"memory usage: 80.0+ KB\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"df.info()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Subsetting\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:52.464014Z\",\n     \"start_time\": \"2018-11-16T13:41:52.460705Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"country_df = df['country']\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:52.678386Z\",\n     \"start_time\": \"2018-11-16T13:41:52.665275Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0    Afghanistan\\n\",\n       \"1    Afghanistan\\n\",\n       \"2    Afghanistan\\n\",\n       \"3    Afghanistan\\n\",\n       \"4    Afghanistan\\n\",\n       \"Name: country, dtype: object\"\n      ]\n     },\n     \"execution_count\": 16,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"country_df.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:52.835223Z\",\n     \"start_time\": \"2018-11-16T13:41:52.826751Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"1699    Zimbabwe\\n\",\n       \"1700    Zimbabwe\\n\",\n       \"1701    Zimbabwe\\n\",\n       \"1702    Zimbabwe\\n\",\n       \"1703    Zimbabwe\\n\",\n       \"Name: country, dtype: object\"\n      ]\n     },\n     \"execution_count\": 17,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"country_df.tail()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:52.994222Z\",\n     \"start_time\": \"2018-11-16T13:41:52.981589Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"pandas.core.series.Series\"\n      ]\n     },\n     \"execution_count\": 18,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(country_df)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:53.167154Z\",\n     \"start_time\": \"2018-11-16T13:41:53.160052Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"subset = df[['country', 'continent', 'year']]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:53.381132Z\",\n     \"start_time\": \"2018-11-16T13:41:53.367621Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>country</th>\\n\",\n       \"      <th>continent</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1952</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1957</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1962</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1972</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"       country continent  year\\n\",\n       \"0  Afghanistan      Asia  1952\\n\",\n       \"1  Afghanistan      Asia  1957\\n\",\n       \"2  Afghanistan      Asia  1962\\n\",\n       \"3  Afghanistan      Asia  1967\\n\",\n       \"4  Afghanistan      Asia  1972\"\n      ]\n     },\n     \"execution_count\": 20,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"subset.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:53.561890Z\",\n     \"start_time\": \"2018-11-16T13:41:53.549991Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'0.23.4'\"\n      ]\n     },\n     \"execution_count\": 21,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"pandas.__version__\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:53.761476Z\",\n     \"start_time\": \"2018-11-16T13:41:53.732251Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"ename\": \"KeyError\",\n     \"evalue\": \"'[0 1] not in index'\",\n     \"output_type\": \"error\",\n     \"traceback\": [\n      \"\\u001b[0;31m---------------------------------------------------------------------------\\u001b[0m\",\n      \"\\u001b[0;31mKeyError\\u001b[0m                                  Traceback (most recent call last)\",\n      \"\\u001b[0;32m<ipython-input-22-7643bb79d564>\\u001b[0m in \\u001b[0;36m<module>\\u001b[0;34m()\\u001b[0m\\n\\u001b[0;32m----> 1\\u001b[0;31m \\u001b[0mdf\\u001b[0m\\u001b[0;34m[\\u001b[0m\\u001b[0;34m[\\u001b[0m\\u001b[0;36m0\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0;36m1\\u001b[0m\\u001b[0;34m]\\u001b[0m\\u001b[0;34m]\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0m\",\n      \"\\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/core/frame.py\\u001b[0m in \\u001b[0;36m__getitem__\\u001b[0;34m(self, key)\\u001b[0m\\n\\u001b[1;32m   2680\\u001b[0m         \\u001b[0;32mif\\u001b[0m \\u001b[0misinstance\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0mkey\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0;34m(\\u001b[0m\\u001b[0mSeries\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0mnp\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0mndarray\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0mIndex\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0mlist\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m:\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[1;32m   2681\\u001b[0m             \\u001b[0;31m# either boolean or fancy integer index\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0;32m-> 2682\\u001b[0;31m             \\u001b[0;32mreturn\\u001b[0m \\u001b[0mself\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0m_getitem_array\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0mkey\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0m\\u001b[1;32m   2683\\u001b[0m         \\u001b[0;32melif\\u001b[0m \\u001b[0misinstance\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0mkey\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0mDataFrame\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m:\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[1;32m   2684\\u001b[0m             \\u001b[0;32mreturn\\u001b[0m \\u001b[0mself\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0m_getitem_frame\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0mkey\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\",\n      \"\\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/core/frame.py\\u001b[0m in \\u001b[0;36m_getitem_array\\u001b[0;34m(self, key)\\u001b[0m\\n\\u001b[1;32m   2724\\u001b[0m             \\u001b[0;32mreturn\\u001b[0m \\u001b[0mself\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0m_take\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0mindexer\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0maxis\\u001b[0m\\u001b[0;34m=\\u001b[0m\\u001b[0;36m0\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[1;32m   2725\\u001b[0m         \\u001b[0;32melse\\u001b[0m\\u001b[0;34m:\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0;32m-> 2726\\u001b[0;31m             \\u001b[0mindexer\\u001b[0m \\u001b[0;34m=\\u001b[0m \\u001b[0mself\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0mloc\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0m_convert_to_indexer\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0mkey\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0maxis\\u001b[0m\\u001b[0;34m=\\u001b[0m\\u001b[0;36m1\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0m\\u001b[1;32m   2727\\u001b[0m             \\u001b[0;32mreturn\\u001b[0m \\u001b[0mself\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0m_take\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0mindexer\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0maxis\\u001b[0m\\u001b[0;34m=\\u001b[0m\\u001b[0;36m1\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[1;32m   2728\\u001b[0m \\u001b[0;34m\\u001b[0m\\u001b[0m\\n\",\n      \"\\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py\\u001b[0m in \\u001b[0;36m_convert_to_indexer\\u001b[0;34m(self, obj, axis, is_setter)\\u001b[0m\\n\\u001b[1;32m   1325\\u001b[0m                 \\u001b[0;32mif\\u001b[0m \\u001b[0mmask\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0many\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m:\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[1;32m   1326\\u001b[0m                     raise KeyError('{mask} not in index'\\n\\u001b[0;32m-> 1327\\u001b[0;31m                                    .format(mask=objarr[mask]))\\n\\u001b[0m\\u001b[1;32m   1328\\u001b[0m \\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[1;32m   1329\\u001b[0m                 \\u001b[0;32mreturn\\u001b[0m \\u001b[0mcom\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0m_values_from_object\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0mindexer\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\",\n      \"\\u001b[0;31mKeyError\\u001b[0m: '[0 1] not in index'\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"df[[0, 1]]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:53.948215Z\",\n     \"start_time\": \"2018-11-16T13:41:53.930432Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>country</th>\\n\",\n       \"      <th>continent</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>lifeExp</th>\\n\",\n       \"      <th>pop</th>\\n\",\n       \"      <th>gdpPercap</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1952</td>\\n\",\n       \"      <td>28.801</td>\\n\",\n       \"      <td>8425333</td>\\n\",\n       \"      <td>779.445314</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1957</td>\\n\",\n       \"      <td>30.332</td>\\n\",\n       \"      <td>9240934</td>\\n\",\n       \"      <td>820.853030</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1962</td>\\n\",\n       \"      <td>31.997</td>\\n\",\n       \"      <td>10267083</td>\\n\",\n       \"      <td>853.100710</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>34.020</td>\\n\",\n       \"      <td>11537966</td>\\n\",\n       \"      <td>836.197138</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1972</td>\\n\",\n       \"      <td>36.088</td>\\n\",\n       \"      <td>13079460</td>\\n\",\n       \"      <td>739.981106</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"       country continent  year  lifeExp       pop   gdpPercap\\n\",\n       \"0  Afghanistan      Asia  1952   28.801   8425333  779.445314\\n\",\n       \"1  Afghanistan      Asia  1957   30.332   9240934  820.853030\\n\",\n       \"2  Afghanistan      Asia  1962   31.997  10267083  853.100710\\n\",\n       \"3  Afghanistan      Asia  1967   34.020  11537966  836.197138\\n\",\n       \"4  Afghanistan      Asia  1972   36.088  13079460  739.981106\"\n      ]\n     },\n     \"execution_count\": 23,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:54.156837Z\",\n     \"start_time\": \"2018-11-16T13:41:54.144350Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"country      Afghanistan\\n\",\n       \"continent           Asia\\n\",\n       \"year                1952\\n\",\n       \"lifeExp           28.801\\n\",\n       \"pop              8425333\\n\",\n       \"gdpPercap        779.445\\n\",\n       \"Name: 0, dtype: object\"\n      ]\n     },\n     \"execution_count\": 24,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.loc[0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:57.468367Z\",\n     \"start_time\": \"2018-11-16T13:41:57.453433Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>country</th>\\n\",\n       \"      <th>continent</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>lifeExp</th>\\n\",\n       \"      <th>pop</th>\\n\",\n       \"      <th>gdpPercap</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1952</td>\\n\",\n       \"      <td>28.801</td>\\n\",\n       \"      <td>8425333</td>\\n\",\n       \"      <td>779.445314</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>99</th>\\n\",\n       \"      <td>Bangladesh</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>43.453</td>\\n\",\n       \"      <td>62821884</td>\\n\",\n       \"      <td>721.186086</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"        country continent  year  lifeExp       pop   gdpPercap\\n\",\n       \"0   Afghanistan      Asia  1952   28.801   8425333  779.445314\\n\",\n       \"99   Bangladesh      Asia  1967   43.453  62821884  721.186086\"\n      ]\n     },\n     \"execution_count\": 25,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.loc[[0, 99]]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:57.664004Z\",\n     \"start_time\": \"2018-11-16T13:41:57.644383Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"ename\": \"KeyError\",\n     \"evalue\": \"'the label [-1] is not in the [index]'\",\n     \"output_type\": \"error\",\n     \"traceback\": [\n      \"\\u001b[0;31m---------------------------------------------------------------------------\\u001b[0m\",\n      \"\\u001b[0;31mKeyError\\u001b[0m                                  Traceback (most recent call last)\",\n      \"\\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py\\u001b[0m in \\u001b[0;36m_validate_key\\u001b[0;34m(self, key, axis)\\u001b[0m\\n\\u001b[1;32m   1789\\u001b[0m                 \\u001b[0;32mif\\u001b[0m \\u001b[0;32mnot\\u001b[0m \\u001b[0max\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0mcontains\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0mkey\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m:\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0;32m-> 1790\\u001b[0;31m                     \\u001b[0merror\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0m\\u001b[1;32m   1791\\u001b[0m             \\u001b[0;32mexcept\\u001b[0m \\u001b[0mTypeError\\u001b[0m \\u001b[0;32mas\\u001b[0m \\u001b[0me\\u001b[0m\\u001b[0;34m:\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\",\n      \"\\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py\\u001b[0m in \\u001b[0;36merror\\u001b[0;34m()\\u001b[0m\\n\\u001b[1;32m   1784\\u001b[0m                                .format(key=key,\\n\\u001b[0;32m-> 1785\\u001b[0;31m                                        axis=self.obj._get_axis_name(axis)))\\n\\u001b[0m\\u001b[1;32m   1786\\u001b[0m \\u001b[0;34m\\u001b[0m\\u001b[0m\\n\",\n      \"\\u001b[0;31mKeyError\\u001b[0m: 'the label [-1] is not in the [index]'\",\n      \"\\nDuring handling of the above exception, another exception occurred:\\n\",\n      \"\\u001b[0;31mKeyError\\u001b[0m                                  Traceback (most recent call last)\",\n      \"\\u001b[0;32m<ipython-input-26-c8e3ddd1947a>\\u001b[0m in \\u001b[0;36m<module>\\u001b[0;34m()\\u001b[0m\\n\\u001b[0;32m----> 1\\u001b[0;31m \\u001b[0mdf\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0mloc\\u001b[0m\\u001b[0;34m[\\u001b[0m\\u001b[0;34m-\\u001b[0m\\u001b[0;36m1\\u001b[0m\\u001b[0;34m]\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0m\",\n      \"\\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py\\u001b[0m in \\u001b[0;36m__getitem__\\u001b[0;34m(self, key)\\u001b[0m\\n\\u001b[1;32m   1476\\u001b[0m \\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[1;32m   1477\\u001b[0m             \\u001b[0mmaybe_callable\\u001b[0m \\u001b[0;34m=\\u001b[0m \\u001b[0mcom\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0m_apply_if_callable\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0mkey\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0mself\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0mobj\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0;32m-> 1478\\u001b[0;31m             \\u001b[0;32mreturn\\u001b[0m \\u001b[0mself\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0m_getitem_axis\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0mmaybe_callable\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0maxis\\u001b[0m\\u001b[0;34m=\\u001b[0m\\u001b[0maxis\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0m\\u001b[1;32m   1479\\u001b[0m \\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[1;32m   1480\\u001b[0m     \\u001b[0;32mdef\\u001b[0m \\u001b[0m_is_scalar_access\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0mself\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0mkey\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m:\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\",\n      \"\\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py\\u001b[0m in \\u001b[0;36m_getitem_axis\\u001b[0;34m(self, key, axis)\\u001b[0m\\n\\u001b[1;32m   1909\\u001b[0m \\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[1;32m   1910\\u001b[0m         \\u001b[0;31m# fall thru to straight lookup\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0;32m-> 1911\\u001b[0;31m         \\u001b[0mself\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0m_validate_key\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0mkey\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0maxis\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0m\\u001b[1;32m   1912\\u001b[0m         \\u001b[0;32mreturn\\u001b[0m \\u001b[0mself\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0m_get_label\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0mkey\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0maxis\\u001b[0m\\u001b[0;34m=\\u001b[0m\\u001b[0maxis\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[1;32m   1913\\u001b[0m \\u001b[0;34m\\u001b[0m\\u001b[0m\\n\",\n      \"\\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py\\u001b[0m in \\u001b[0;36m_validate_key\\u001b[0;34m(self, key, axis)\\u001b[0m\\n\\u001b[1;32m   1796\\u001b[0m                 \\u001b[0;32mraise\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[1;32m   1797\\u001b[0m             \\u001b[0;32mexcept\\u001b[0m\\u001b[0;34m:\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0;32m-> 1798\\u001b[0;31m                 \\u001b[0merror\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[0m\\u001b[1;32m   1799\\u001b[0m \\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[1;32m   1800\\u001b[0m     \\u001b[0;32mdef\\u001b[0m \\u001b[0m_is_scalar_access\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0mself\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0mkey\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m:\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\",\n      \"\\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py\\u001b[0m in \\u001b[0;36merror\\u001b[0;34m()\\u001b[0m\\n\\u001b[1;32m   1783\\u001b[0m                 raise KeyError(u\\\"the label [{key}] is not in the [{axis}]\\\"\\n\\u001b[1;32m   1784\\u001b[0m                                .format(key=key,\\n\\u001b[0;32m-> 1785\\u001b[0;31m                                        axis=self.obj._get_axis_name(axis)))\\n\\u001b[0m\\u001b[1;32m   1786\\u001b[0m \\u001b[0;34m\\u001b[0m\\u001b[0m\\n\\u001b[1;32m   1787\\u001b[0m             \\u001b[0;32mtry\\u001b[0m\\u001b[0;34m:\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\",\n      \"\\u001b[0;31mKeyError\\u001b[0m: 'the label [-1] is not in the [index]'\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"df.loc[-1]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:57.825116Z\",\n     \"start_time\": \"2018-11-16T13:41:57.816317Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"country      Afghanistan\\n\",\n       \"continent           Asia\\n\",\n       \"year                1952\\n\",\n       \"lifeExp           28.801\\n\",\n       \"pop              8425333\\n\",\n       \"gdpPercap        779.445\\n\",\n       \"Name: 0, dtype: object\"\n      ]\n     },\n     \"execution_count\": 27,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.iloc[0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:58.009532Z\",\n     \"start_time\": \"2018-11-16T13:41:57.992857Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>country</th>\\n\",\n       \"      <th>continent</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>lifeExp</th>\\n\",\n       \"      <th>pop</th>\\n\",\n       \"      <th>gdpPercap</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1952</td>\\n\",\n       \"      <td>28.801</td>\\n\",\n       \"      <td>8425333</td>\\n\",\n       \"      <td>779.445314</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>99</th>\\n\",\n       \"      <td>Bangladesh</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>43.453</td>\\n\",\n       \"      <td>62821884</td>\\n\",\n       \"      <td>721.186086</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"        country continent  year  lifeExp       pop   gdpPercap\\n\",\n       \"0   Afghanistan      Asia  1952   28.801   8425333  779.445314\\n\",\n       \"99   Bangladesh      Asia  1967   43.453  62821884  721.186086\"\n      ]\n     },\n     \"execution_count\": 28,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.iloc[[0, 99]]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:58.200835Z\",\n     \"start_time\": \"2018-11-16T13:41:58.192338Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"country      Zimbabwe\\n\",\n       \"continent      Africa\\n\",\n       \"year             2007\\n\",\n       \"lifeExp        43.487\\n\",\n       \"pop          12311143\\n\",\n       \"gdpPercap     469.709\\n\",\n       \"Name: 1703, dtype: object\"\n      ]\n     },\n     \"execution_count\": 29,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.iloc[-1]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:58.390224Z\",\n     \"start_time\": \"2018-11-16T13:41:58.378524Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/home/dchen/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: DeprecationWarning: \\n\",\n      \".ix is deprecated. Please use\\n\",\n      \".loc for label based indexing or\\n\",\n      \".iloc for positional indexing\\n\",\n      \"\\n\",\n      \"See the documentation here:\\n\",\n      \"http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated\\n\",\n      \"  \\\"\\\"\\\"Entry point for launching an IPython kernel.\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"country      Afghanistan\\n\",\n       \"continent           Asia\\n\",\n       \"year                1952\\n\",\n       \"lifeExp           28.801\\n\",\n       \"pop              8425333\\n\",\n       \"gdpPercap        779.445\\n\",\n       \"Name: 0, dtype: object\"\n      ]\n     },\n     \"execution_count\": 30,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.ix[0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:58.576586Z\",\n     \"start_time\": \"2018-11-16T13:41:58.567613Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"subset = df.loc[:, ['year', 'pop']]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:58.995592Z\",\n     \"start_time\": \"2018-11-16T13:41:58.980351Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>pop</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1952</td>\\n\",\n       \"      <td>8425333</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>1957</td>\\n\",\n       \"      <td>9240934</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>1962</td>\\n\",\n       \"      <td>10267083</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>11537966</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>1972</td>\\n\",\n       \"      <td>13079460</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   year       pop\\n\",\n       \"0  1952   8425333\\n\",\n       \"1  1957   9240934\\n\",\n       \"2  1962  10267083\\n\",\n       \"3  1967  11537966\\n\",\n       \"4  1972  13079460\"\n      ]\n     },\n     \"execution_count\": 32,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"subset.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:41:59.458841Z\",\n     \"start_time\": \"2018-11-16T13:41:59.447734Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"   year       pop\\n\",\n      \"0  1952   8425333\\n\",\n      \"1  1957   9240934\\n\",\n      \"2  1962  10267083\\n\",\n      \"3  1967  11537966\\n\",\n      \"4  1972  13079460\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"subset = df.iloc[:, [2, 4]]\\n\",\n    \"print(subset.head())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:00.329466Z\",\n     \"start_time\": \"2018-11-16T13:42:00.314808Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>country</th>\\n\",\n       \"      <th>continent</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>lifeExp</th>\\n\",\n       \"      <th>pop</th>\\n\",\n       \"      <th>gdpPercap</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1699</th>\\n\",\n       \"      <td>Zimbabwe</td>\\n\",\n       \"      <td>Africa</td>\\n\",\n       \"      <td>1987</td>\\n\",\n       \"      <td>62.351</td>\\n\",\n       \"      <td>9216418</td>\\n\",\n       \"      <td>706.157306</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1701</th>\\n\",\n       \"      <td>Zimbabwe</td>\\n\",\n       \"      <td>Africa</td>\\n\",\n       \"      <td>1997</td>\\n\",\n       \"      <td>46.809</td>\\n\",\n       \"      <td>11404948</td>\\n\",\n       \"      <td>792.449960</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1703</th>\\n\",\n       \"      <td>Zimbabwe</td>\\n\",\n       \"      <td>Africa</td>\\n\",\n       \"      <td>2007</td>\\n\",\n       \"      <td>43.487</td>\\n\",\n       \"      <td>12311143</td>\\n\",\n       \"      <td>469.709298</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"       country continent  year  lifeExp       pop   gdpPercap\\n\",\n       \"1699  Zimbabwe    Africa  1987   62.351   9216418  706.157306\\n\",\n       \"1701  Zimbabwe    Africa  1997   46.809  11404948  792.449960\\n\",\n       \"1703  Zimbabwe    Africa  2007   43.487  12311143  469.709298\"\n      ]\n     },\n     \"execution_count\": 34,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"subset = df.iloc[-5::2, :]\\n\",\n    \"subset.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# grouped calculations\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:02.943570Z\",\n     \"start_time\": \"2018-11-16T13:42:02.930285Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>country</th>\\n\",\n       \"      <th>continent</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>lifeExp</th>\\n\",\n       \"      <th>pop</th>\\n\",\n       \"      <th>gdpPercap</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1952</td>\\n\",\n       \"      <td>28.801</td>\\n\",\n       \"      <td>8425333</td>\\n\",\n       \"      <td>779.445314</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1957</td>\\n\",\n       \"      <td>30.332</td>\\n\",\n       \"      <td>9240934</td>\\n\",\n       \"      <td>820.853030</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1962</td>\\n\",\n       \"      <td>31.997</td>\\n\",\n       \"      <td>10267083</td>\\n\",\n       \"      <td>853.100710</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>34.020</td>\\n\",\n       \"      <td>11537966</td>\\n\",\n       \"      <td>836.197138</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>Afghanistan</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>1972</td>\\n\",\n       \"      <td>36.088</td>\\n\",\n       \"      <td>13079460</td>\\n\",\n       \"      <td>739.981106</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"       country continent  year  lifeExp       pop   gdpPercap\\n\",\n       \"0  Afghanistan      Asia  1952   28.801   8425333  779.445314\\n\",\n       \"1  Afghanistan      Asia  1957   30.332   9240934  820.853030\\n\",\n       \"2  Afghanistan      Asia  1962   31.997  10267083  853.100710\\n\",\n       \"3  Afghanistan      Asia  1967   34.020  11537966  836.197138\\n\",\n       \"4  Afghanistan      Asia  1972   36.088  13079460  739.981106\"\n      ]\n     },\n     \"execution_count\": 35,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:03.137519Z\",\n     \"start_time\": \"2018-11-16T13:42:03.128088Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"year\\n\",\n       \"1952    49.057620\\n\",\n       \"1957    51.507401\\n\",\n       \"1962    53.609249\\n\",\n       \"1967    55.678290\\n\",\n       \"1972    57.647386\\n\",\n       \"1977    59.570157\\n\",\n       \"1982    61.533197\\n\",\n       \"1987    63.212613\\n\",\n       \"1992    64.160338\\n\",\n       \"1997    65.014676\\n\",\n       \"2002    65.694923\\n\",\n       \"2007    67.007423\\n\",\n       \"Name: lifeExp, dtype: float64\"\n      ]\n     },\n     \"execution_count\": 36,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.groupby('year')['lifeExp'].mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:03.364761Z\",\n     \"start_time\": \"2018-11-16T13:42:03.333427Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>lifeExp</th>\\n\",\n       \"      <th>gdpPercap</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>continent</th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1952</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>39.135500</td>\\n\",\n       \"      <td>1252.572466</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>53.279840</td>\\n\",\n       \"      <td>4079.062552</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>46.314394</td>\\n\",\n       \"      <td>5195.484004</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>64.408500</td>\\n\",\n       \"      <td>5661.057435</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>69.255000</td>\\n\",\n       \"      <td>10298.085650</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1957</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>41.266346</td>\\n\",\n       \"      <td>1385.236062</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>55.960280</td>\\n\",\n       \"      <td>4616.043733</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>49.318544</td>\\n\",\n       \"      <td>5787.732940</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>66.703067</td>\\n\",\n       \"      <td>6963.012816</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>70.295000</td>\\n\",\n       \"      <td>11598.522455</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1962</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>43.319442</td>\\n\",\n       \"      <td>1598.078825</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>58.398760</td>\\n\",\n       \"      <td>4901.541870</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>51.563223</td>\\n\",\n       \"      <td>5729.369625</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>68.539233</td>\\n\",\n       \"      <td>8365.486814</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>71.085000</td>\\n\",\n       \"      <td>12696.452430</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1967</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>45.334538</td>\\n\",\n       \"      <td>2050.363801</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>60.410920</td>\\n\",\n       \"      <td>5668.253496</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>54.663640</td>\\n\",\n       \"      <td>5971.173374</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>69.737600</td>\\n\",\n       \"      <td>10143.823757</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>71.310000</td>\\n\",\n       \"      <td>14495.021790</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1972</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>47.450942</td>\\n\",\n       \"      <td>2339.615674</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>62.394920</td>\\n\",\n       \"      <td>6491.334139</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>57.319269</td>\\n\",\n       \"      <td>8187.468699</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>70.775033</td>\\n\",\n       \"      <td>12479.575246</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>71.910000</td>\\n\",\n       \"      <td>16417.333380</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1977</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>49.580423</td>\\n\",\n       \"      <td>2585.938508</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>64.391560</td>\\n\",\n       \"      <td>7352.007126</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>59.610556</td>\\n\",\n       \"      <td>7791.314020</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>71.937767</td>\\n\",\n       \"      <td>14283.979110</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>72.855000</td>\\n\",\n       \"      <td>17283.957605</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1982</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>51.592865</td>\\n\",\n       \"      <td>2481.592960</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>66.228840</td>\\n\",\n       \"      <td>7506.737088</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>62.617939</td>\\n\",\n       \"      <td>7434.135157</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>72.806400</td>\\n\",\n       \"      <td>15617.896551</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>74.290000</td>\\n\",\n       \"      <td>18554.709840</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1987</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>53.344788</td>\\n\",\n       \"      <td>2282.668991</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>68.090720</td>\\n\",\n       \"      <td>7793.400261</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>64.851182</td>\\n\",\n       \"      <td>7608.226508</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>73.642167</td>\\n\",\n       \"      <td>17214.310727</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>75.320000</td>\\n\",\n       \"      <td>20448.040160</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1992</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>53.629577</td>\\n\",\n       \"      <td>2281.810333</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>69.568360</td>\\n\",\n       \"      <td>8044.934406</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>66.537212</td>\\n\",\n       \"      <td>8639.690248</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>74.440100</td>\\n\",\n       \"      <td>17061.568084</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>76.945000</td>\\n\",\n       \"      <td>20894.045885</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1997</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>53.598269</td>\\n\",\n       \"      <td>2378.759555</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>71.150480</td>\\n\",\n       \"      <td>8889.300863</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>68.020515</td>\\n\",\n       \"      <td>9834.093295</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>75.505167</td>\\n\",\n       \"      <td>19076.781802</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>78.190000</td>\\n\",\n       \"      <td>24024.175170</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">2002</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>53.325231</td>\\n\",\n       \"      <td>2599.385159</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>72.422040</td>\\n\",\n       \"      <td>9287.677107</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>69.233879</td>\\n\",\n       \"      <td>10174.090397</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>76.700600</td>\\n\",\n       \"      <td>21711.732422</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>79.740000</td>\\n\",\n       \"      <td>26938.778040</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">2007</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>54.806038</td>\\n\",\n       \"      <td>3089.032605</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>73.608120</td>\\n\",\n       \"      <td>11003.031625</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>70.728485</td>\\n\",\n       \"      <td>12473.026870</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>77.648600</td>\\n\",\n       \"      <td>25054.481636</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>80.719500</td>\\n\",\n       \"      <td>29810.188275</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"                  lifeExp     gdpPercap\\n\",\n       \"year continent                         \\n\",\n       \"1952 Africa     39.135500   1252.572466\\n\",\n       \"     Americas   53.279840   4079.062552\\n\",\n       \"     Asia       46.314394   5195.484004\\n\",\n       \"     Europe     64.408500   5661.057435\\n\",\n       \"     Oceania    69.255000  10298.085650\\n\",\n       \"1957 Africa     41.266346   1385.236062\\n\",\n       \"     Americas   55.960280   4616.043733\\n\",\n       \"     Asia       49.318544   5787.732940\\n\",\n       \"     Europe     66.703067   6963.012816\\n\",\n       \"     Oceania    70.295000  11598.522455\\n\",\n       \"1962 Africa     43.319442   1598.078825\\n\",\n       \"     Americas   58.398760   4901.541870\\n\",\n       \"     Asia       51.563223   5729.369625\\n\",\n       \"     Europe     68.539233   8365.486814\\n\",\n       \"     Oceania    71.085000  12696.452430\\n\",\n       \"1967 Africa     45.334538   2050.363801\\n\",\n       \"     Americas   60.410920   5668.253496\\n\",\n       \"     Asia       54.663640   5971.173374\\n\",\n       \"     Europe     69.737600  10143.823757\\n\",\n       \"     Oceania    71.310000  14495.021790\\n\",\n       \"1972 Africa     47.450942   2339.615674\\n\",\n       \"     Americas   62.394920   6491.334139\\n\",\n       \"     Asia       57.319269   8187.468699\\n\",\n       \"     Europe     70.775033  12479.575246\\n\",\n       \"     Oceania    71.910000  16417.333380\\n\",\n       \"1977 Africa     49.580423   2585.938508\\n\",\n       \"     Americas   64.391560   7352.007126\\n\",\n       \"     Asia       59.610556   7791.314020\\n\",\n       \"     Europe     71.937767  14283.979110\\n\",\n       \"     Oceania    72.855000  17283.957605\\n\",\n       \"1982 Africa     51.592865   2481.592960\\n\",\n       \"     Americas   66.228840   7506.737088\\n\",\n       \"     Asia       62.617939   7434.135157\\n\",\n       \"     Europe     72.806400  15617.896551\\n\",\n       \"     Oceania    74.290000  18554.709840\\n\",\n       \"1987 Africa     53.344788   2282.668991\\n\",\n       \"     Americas   68.090720   7793.400261\\n\",\n       \"     Asia       64.851182   7608.226508\\n\",\n       \"     Europe     73.642167  17214.310727\\n\",\n       \"     Oceania    75.320000  20448.040160\\n\",\n       \"1992 Africa     53.629577   2281.810333\\n\",\n       \"     Americas   69.568360   8044.934406\\n\",\n       \"     Asia       66.537212   8639.690248\\n\",\n       \"     Europe     74.440100  17061.568084\\n\",\n       \"     Oceania    76.945000  20894.045885\\n\",\n       \"1997 Africa     53.598269   2378.759555\\n\",\n       \"     Americas   71.150480   8889.300863\\n\",\n       \"     Asia       68.020515   9834.093295\\n\",\n       \"     Europe     75.505167  19076.781802\\n\",\n       \"     Oceania    78.190000  24024.175170\\n\",\n       \"2002 Africa     53.325231   2599.385159\\n\",\n       \"     Americas   72.422040   9287.677107\\n\",\n       \"     Asia       69.233879  10174.090397\\n\",\n       \"     Europe     76.700600  21711.732422\\n\",\n       \"     Oceania    79.740000  26938.778040\\n\",\n       \"2007 Africa     54.806038   3089.032605\\n\",\n       \"     Americas   73.608120  11003.031625\\n\",\n       \"     Asia       70.728485  12473.026870\\n\",\n       \"     Europe     77.648600  25054.481636\\n\",\n       \"     Oceania    80.719500  29810.188275\"\n      ]\n     },\n     \"execution_count\": 37,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.groupby(['year', 'continent'])[['lifeExp', 'gdpPercap']].mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:03.599388Z\",\n     \"start_time\": \"2018-11-16T13:42:03.565090Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>lifeExp</th>\\n\",\n       \"      <th>gdpPercap</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>continent</th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1952</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>39.135500</td>\\n\",\n       \"      <td>1252.572466</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>53.279840</td>\\n\",\n       \"      <td>4079.062552</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>46.314394</td>\\n\",\n       \"      <td>5195.484004</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>64.408500</td>\\n\",\n       \"      <td>5661.057435</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>69.255000</td>\\n\",\n       \"      <td>10298.085650</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1957</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>41.266346</td>\\n\",\n       \"      <td>1385.236062</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>55.960280</td>\\n\",\n       \"      <td>4616.043733</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>49.318544</td>\\n\",\n       \"      <td>5787.732940</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>66.703067</td>\\n\",\n       \"      <td>6963.012816</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>70.295000</td>\\n\",\n       \"      <td>11598.522455</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1962</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>43.319442</td>\\n\",\n       \"      <td>1598.078825</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>58.398760</td>\\n\",\n       \"      <td>4901.541870</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>51.563223</td>\\n\",\n       \"      <td>5729.369625</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>68.539233</td>\\n\",\n       \"      <td>8365.486814</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>71.085000</td>\\n\",\n       \"      <td>12696.452430</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1967</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>45.334538</td>\\n\",\n       \"      <td>2050.363801</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>60.410920</td>\\n\",\n       \"      <td>5668.253496</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>54.663640</td>\\n\",\n       \"      <td>5971.173374</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>69.737600</td>\\n\",\n       \"      <td>10143.823757</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>71.310000</td>\\n\",\n       \"      <td>14495.021790</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1972</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>47.450942</td>\\n\",\n       \"      <td>2339.615674</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>62.394920</td>\\n\",\n       \"      <td>6491.334139</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>57.319269</td>\\n\",\n       \"      <td>8187.468699</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>70.775033</td>\\n\",\n       \"      <td>12479.575246</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>71.910000</td>\\n\",\n       \"      <td>16417.333380</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1977</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>49.580423</td>\\n\",\n       \"      <td>2585.938508</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>64.391560</td>\\n\",\n       \"      <td>7352.007126</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>59.610556</td>\\n\",\n       \"      <td>7791.314020</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>71.937767</td>\\n\",\n       \"      <td>14283.979110</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>72.855000</td>\\n\",\n       \"      <td>17283.957605</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1982</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>51.592865</td>\\n\",\n       \"      <td>2481.592960</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>66.228840</td>\\n\",\n       \"      <td>7506.737088</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>62.617939</td>\\n\",\n       \"      <td>7434.135157</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>72.806400</td>\\n\",\n       \"      <td>15617.896551</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>74.290000</td>\\n\",\n       \"      <td>18554.709840</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1987</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>53.344788</td>\\n\",\n       \"      <td>2282.668991</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>68.090720</td>\\n\",\n       \"      <td>7793.400261</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>64.851182</td>\\n\",\n       \"      <td>7608.226508</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>73.642167</td>\\n\",\n       \"      <td>17214.310727</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>75.320000</td>\\n\",\n       \"      <td>20448.040160</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1992</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>53.629577</td>\\n\",\n       \"      <td>2281.810333</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>69.568360</td>\\n\",\n       \"      <td>8044.934406</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>66.537212</td>\\n\",\n       \"      <td>8639.690248</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>74.440100</td>\\n\",\n       \"      <td>17061.568084</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>76.945000</td>\\n\",\n       \"      <td>20894.045885</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">1997</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>53.598269</td>\\n\",\n       \"      <td>2378.759555</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>71.150480</td>\\n\",\n       \"      <td>8889.300863</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>68.020515</td>\\n\",\n       \"      <td>9834.093295</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>75.505167</td>\\n\",\n       \"      <td>19076.781802</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>78.190000</td>\\n\",\n       \"      <td>24024.175170</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">2002</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>53.325231</td>\\n\",\n       \"      <td>2599.385159</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>72.422040</td>\\n\",\n       \"      <td>9287.677107</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>69.233879</td>\\n\",\n       \"      <td>10174.090397</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>76.700600</td>\\n\",\n       \"      <td>21711.732422</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>79.740000</td>\\n\",\n       \"      <td>26938.778040</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"5\\\" valign=\\\"top\\\">2007</th>\\n\",\n       \"      <th>Africa</th>\\n\",\n       \"      <td>54.806038</td>\\n\",\n       \"      <td>3089.032605</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Americas</th>\\n\",\n       \"      <td>73.608120</td>\\n\",\n       \"      <td>11003.031625</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Asia</th>\\n\",\n       \"      <td>70.728485</td>\\n\",\n       \"      <td>12473.026870</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Europe</th>\\n\",\n       \"      <td>77.648600</td>\\n\",\n       \"      <td>25054.481636</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Oceania</th>\\n\",\n       \"      <td>80.719500</td>\\n\",\n       \"      <td>29810.188275</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"                  lifeExp     gdpPercap\\n\",\n       \"year continent                         \\n\",\n       \"1952 Africa     39.135500   1252.572466\\n\",\n       \"     Americas   53.279840   4079.062552\\n\",\n       \"     Asia       46.314394   5195.484004\\n\",\n       \"     Europe     64.408500   5661.057435\\n\",\n       \"     Oceania    69.255000  10298.085650\\n\",\n       \"1957 Africa     41.266346   1385.236062\\n\",\n       \"     Americas   55.960280   4616.043733\\n\",\n       \"     Asia       49.318544   5787.732940\\n\",\n       \"     Europe     66.703067   6963.012816\\n\",\n       \"     Oceania    70.295000  11598.522455\\n\",\n       \"1962 Africa     43.319442   1598.078825\\n\",\n       \"     Americas   58.398760   4901.541870\\n\",\n       \"     Asia       51.563223   5729.369625\\n\",\n       \"     Europe     68.539233   8365.486814\\n\",\n       \"     Oceania    71.085000  12696.452430\\n\",\n       \"1967 Africa     45.334538   2050.363801\\n\",\n       \"     Americas   60.410920   5668.253496\\n\",\n       \"     Asia       54.663640   5971.173374\\n\",\n       \"     Europe     69.737600  10143.823757\\n\",\n       \"     Oceania    71.310000  14495.021790\\n\",\n       \"1972 Africa     47.450942   2339.615674\\n\",\n       \"     Americas   62.394920   6491.334139\\n\",\n       \"     Asia       57.319269   8187.468699\\n\",\n       \"     Europe     70.775033  12479.575246\\n\",\n       \"     Oceania    71.910000  16417.333380\\n\",\n       \"1977 Africa     49.580423   2585.938508\\n\",\n       \"     Americas   64.391560   7352.007126\\n\",\n       \"     Asia       59.610556   7791.314020\\n\",\n       \"     Europe     71.937767  14283.979110\\n\",\n       \"     Oceania    72.855000  17283.957605\\n\",\n       \"1982 Africa     51.592865   2481.592960\\n\",\n       \"     Americas   66.228840   7506.737088\\n\",\n       \"     Asia       62.617939   7434.135157\\n\",\n       \"     Europe     72.806400  15617.896551\\n\",\n       \"     Oceania    74.290000  18554.709840\\n\",\n       \"1987 Africa     53.344788   2282.668991\\n\",\n       \"     Americas   68.090720   7793.400261\\n\",\n       \"     Asia       64.851182   7608.226508\\n\",\n       \"     Europe     73.642167  17214.310727\\n\",\n       \"     Oceania    75.320000  20448.040160\\n\",\n       \"1992 Africa     53.629577   2281.810333\\n\",\n       \"     Americas   69.568360   8044.934406\\n\",\n       \"     Asia       66.537212   8639.690248\\n\",\n       \"     Europe     74.440100  17061.568084\\n\",\n       \"     Oceania    76.945000  20894.045885\\n\",\n       \"1997 Africa     53.598269   2378.759555\\n\",\n       \"     Americas   71.150480   8889.300863\\n\",\n       \"     Asia       68.020515   9834.093295\\n\",\n       \"     Europe     75.505167  19076.781802\\n\",\n       \"     Oceania    78.190000  24024.175170\\n\",\n       \"2002 Africa     53.325231   2599.385159\\n\",\n       \"     Americas   72.422040   9287.677107\\n\",\n       \"     Asia       69.233879  10174.090397\\n\",\n       \"     Europe     76.700600  21711.732422\\n\",\n       \"     Oceania    79.740000  26938.778040\\n\",\n       \"2007 Africa     54.806038   3089.032605\\n\",\n       \"     Americas   73.608120  11003.031625\\n\",\n       \"     Asia       70.728485  12473.026870\\n\",\n       \"     Europe     77.648600  25054.481636\\n\",\n       \"     Oceania    80.719500  29810.188275\"\n      ]\n     },\n     \"execution_count\": 38,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df\\\\\\n\",\n    \"    .groupby(['year', 'continent'])[['lifeExp', 'gdpPercap']]\\\\\\n\",\n    \"    .mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:04.150438Z\",\n     \"start_time\": \"2018-11-16T13:42:04.120801Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>continent</th>\\n\",\n       \"      <th>lifeExp</th>\\n\",\n       \"      <th>gdpPercap</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1952</td>\\n\",\n       \"      <td>Africa</td>\\n\",\n       \"      <td>39.135500</td>\\n\",\n       \"      <td>1252.572466</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>1952</td>\\n\",\n       \"      <td>Americas</td>\\n\",\n       \"      <td>53.279840</td>\\n\",\n       \"      <td>4079.062552</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>1952</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>46.314394</td>\\n\",\n       \"      <td>5195.484004</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>1952</td>\\n\",\n       \"      <td>Europe</td>\\n\",\n       \"      <td>64.408500</td>\\n\",\n       \"      <td>5661.057435</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>1952</td>\\n\",\n       \"      <td>Oceania</td>\\n\",\n       \"      <td>69.255000</td>\\n\",\n       \"      <td>10298.085650</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>5</th>\\n\",\n       \"      <td>1957</td>\\n\",\n       \"      <td>Africa</td>\\n\",\n       \"      <td>41.266346</td>\\n\",\n       \"      <td>1385.236062</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>6</th>\\n\",\n       \"      <td>1957</td>\\n\",\n       \"      <td>Americas</td>\\n\",\n       \"      <td>55.960280</td>\\n\",\n       \"      <td>4616.043733</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>7</th>\\n\",\n       \"      <td>1957</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>49.318544</td>\\n\",\n       \"      <td>5787.732940</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>8</th>\\n\",\n       \"      <td>1957</td>\\n\",\n       \"      <td>Europe</td>\\n\",\n       \"      <td>66.703067</td>\\n\",\n       \"      <td>6963.012816</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>9</th>\\n\",\n       \"      <td>1957</td>\\n\",\n       \"      <td>Oceania</td>\\n\",\n       \"      <td>70.295000</td>\\n\",\n       \"      <td>11598.522455</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>10</th>\\n\",\n       \"      <td>1962</td>\\n\",\n       \"      <td>Africa</td>\\n\",\n       \"      <td>43.319442</td>\\n\",\n       \"      <td>1598.078825</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>11</th>\\n\",\n       \"      <td>1962</td>\\n\",\n       \"      <td>Americas</td>\\n\",\n       \"      <td>58.398760</td>\\n\",\n       \"      <td>4901.541870</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>12</th>\\n\",\n       \"      <td>1962</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>51.563223</td>\\n\",\n       \"      <td>5729.369625</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>13</th>\\n\",\n       \"      <td>1962</td>\\n\",\n       \"      <td>Europe</td>\\n\",\n       \"      <td>68.539233</td>\\n\",\n       \"      <td>8365.486814</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>14</th>\\n\",\n       \"      <td>1962</td>\\n\",\n       \"      <td>Oceania</td>\\n\",\n       \"      <td>71.085000</td>\\n\",\n       \"      <td>12696.452430</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>15</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>Africa</td>\\n\",\n       \"      <td>45.334538</td>\\n\",\n       \"      <td>2050.363801</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>16</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>Americas</td>\\n\",\n       \"      <td>60.410920</td>\\n\",\n       \"      <td>5668.253496</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>17</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>54.663640</td>\\n\",\n       \"      <td>5971.173374</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>18</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>Europe</td>\\n\",\n       \"      <td>69.737600</td>\\n\",\n       \"      <td>10143.823757</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>19</th>\\n\",\n       \"      <td>1967</td>\\n\",\n       \"      <td>Oceania</td>\\n\",\n       \"      <td>71.310000</td>\\n\",\n       \"      <td>14495.021790</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>20</th>\\n\",\n       \"      <td>1972</td>\\n\",\n       \"      <td>Africa</td>\\n\",\n       \"      <td>47.450942</td>\\n\",\n       \"      <td>2339.615674</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>21</th>\\n\",\n       \"      <td>1972</td>\\n\",\n       \"      <td>Americas</td>\\n\",\n       \"      <td>62.394920</td>\\n\",\n       \"      <td>6491.334139</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>22</th>\\n\",\n       \"      <td>1972</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>57.319269</td>\\n\",\n       \"      <td>8187.468699</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>23</th>\\n\",\n       \"      <td>1972</td>\\n\",\n       \"      <td>Europe</td>\\n\",\n       \"      <td>70.775033</td>\\n\",\n       \"      <td>12479.575246</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>24</th>\\n\",\n       \"      <td>1972</td>\\n\",\n       \"      <td>Oceania</td>\\n\",\n       \"      <td>71.910000</td>\\n\",\n       \"      <td>16417.333380</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>25</th>\\n\",\n       \"      <td>1977</td>\\n\",\n       \"      <td>Africa</td>\\n\",\n       \"      <td>49.580423</td>\\n\",\n       \"      <td>2585.938508</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>26</th>\\n\",\n       \"      <td>1977</td>\\n\",\n       \"      <td>Americas</td>\\n\",\n       \"      <td>64.391560</td>\\n\",\n       \"      <td>7352.007126</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>27</th>\\n\",\n       \"      <td>1977</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>59.610556</td>\\n\",\n       \"      <td>7791.314020</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>28</th>\\n\",\n       \"      <td>1977</td>\\n\",\n       \"      <td>Europe</td>\\n\",\n       \"      <td>71.937767</td>\\n\",\n       \"      <td>14283.979110</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>29</th>\\n\",\n       \"      <td>1977</td>\\n\",\n       \"      <td>Oceania</td>\\n\",\n       \"      <td>72.855000</td>\\n\",\n       \"      <td>17283.957605</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>30</th>\\n\",\n       \"      <td>1982</td>\\n\",\n       \"      <td>Africa</td>\\n\",\n       \"      <td>51.592865</td>\\n\",\n       \"      <td>2481.592960</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>31</th>\\n\",\n       \"      <td>1982</td>\\n\",\n       \"      <td>Americas</td>\\n\",\n       \"      <td>66.228840</td>\\n\",\n       \"      <td>7506.737088</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>32</th>\\n\",\n       \"      <td>1982</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>62.617939</td>\\n\",\n       \"      <td>7434.135157</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>33</th>\\n\",\n       \"      <td>1982</td>\\n\",\n       \"      <td>Europe</td>\\n\",\n       \"      <td>72.806400</td>\\n\",\n       \"      <td>15617.896551</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>34</th>\\n\",\n       \"      <td>1982</td>\\n\",\n       \"      <td>Oceania</td>\\n\",\n       \"      <td>74.290000</td>\\n\",\n       \"      <td>18554.709840</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>35</th>\\n\",\n       \"      <td>1987</td>\\n\",\n       \"      <td>Africa</td>\\n\",\n       \"      <td>53.344788</td>\\n\",\n       \"      <td>2282.668991</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>36</th>\\n\",\n       \"      <td>1987</td>\\n\",\n       \"      <td>Americas</td>\\n\",\n       \"      <td>68.090720</td>\\n\",\n       \"      <td>7793.400261</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>37</th>\\n\",\n       \"      <td>1987</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>64.851182</td>\\n\",\n       \"      <td>7608.226508</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>38</th>\\n\",\n       \"      <td>1987</td>\\n\",\n       \"      <td>Europe</td>\\n\",\n       \"      <td>73.642167</td>\\n\",\n       \"      <td>17214.310727</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>39</th>\\n\",\n       \"      <td>1987</td>\\n\",\n       \"      <td>Oceania</td>\\n\",\n       \"      <td>75.320000</td>\\n\",\n       \"      <td>20448.040160</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>40</th>\\n\",\n       \"      <td>1992</td>\\n\",\n       \"      <td>Africa</td>\\n\",\n       \"      <td>53.629577</td>\\n\",\n       \"      <td>2281.810333</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>41</th>\\n\",\n       \"      <td>1992</td>\\n\",\n       \"      <td>Americas</td>\\n\",\n       \"      <td>69.568360</td>\\n\",\n       \"      <td>8044.934406</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>42</th>\\n\",\n       \"      <td>1992</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>66.537212</td>\\n\",\n       \"      <td>8639.690248</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>43</th>\\n\",\n       \"      <td>1992</td>\\n\",\n       \"      <td>Europe</td>\\n\",\n       \"      <td>74.440100</td>\\n\",\n       \"      <td>17061.568084</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>44</th>\\n\",\n       \"      <td>1992</td>\\n\",\n       \"      <td>Oceania</td>\\n\",\n       \"      <td>76.945000</td>\\n\",\n       \"      <td>20894.045885</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>45</th>\\n\",\n       \"      <td>1997</td>\\n\",\n       \"      <td>Africa</td>\\n\",\n       \"      <td>53.598269</td>\\n\",\n       \"      <td>2378.759555</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>46</th>\\n\",\n       \"      <td>1997</td>\\n\",\n       \"      <td>Americas</td>\\n\",\n       \"      <td>71.150480</td>\\n\",\n       \"      <td>8889.300863</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>47</th>\\n\",\n       \"      <td>1997</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>68.020515</td>\\n\",\n       \"      <td>9834.093295</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>48</th>\\n\",\n       \"      <td>1997</td>\\n\",\n       \"      <td>Europe</td>\\n\",\n       \"      <td>75.505167</td>\\n\",\n       \"      <td>19076.781802</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>49</th>\\n\",\n       \"      <td>1997</td>\\n\",\n       \"      <td>Oceania</td>\\n\",\n       \"      <td>78.190000</td>\\n\",\n       \"      <td>24024.175170</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>50</th>\\n\",\n       \"      <td>2002</td>\\n\",\n       \"      <td>Africa</td>\\n\",\n       \"      <td>53.325231</td>\\n\",\n       \"      <td>2599.385159</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>51</th>\\n\",\n       \"      <td>2002</td>\\n\",\n       \"      <td>Americas</td>\\n\",\n       \"      <td>72.422040</td>\\n\",\n       \"      <td>9287.677107</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>52</th>\\n\",\n       \"      <td>2002</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>69.233879</td>\\n\",\n       \"      <td>10174.090397</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>53</th>\\n\",\n       \"      <td>2002</td>\\n\",\n       \"      <td>Europe</td>\\n\",\n       \"      <td>76.700600</td>\\n\",\n       \"      <td>21711.732422</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>54</th>\\n\",\n       \"      <td>2002</td>\\n\",\n       \"      <td>Oceania</td>\\n\",\n       \"      <td>79.740000</td>\\n\",\n       \"      <td>26938.778040</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>55</th>\\n\",\n       \"      <td>2007</td>\\n\",\n       \"      <td>Africa</td>\\n\",\n       \"      <td>54.806038</td>\\n\",\n       \"      <td>3089.032605</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>56</th>\\n\",\n       \"      <td>2007</td>\\n\",\n       \"      <td>Americas</td>\\n\",\n       \"      <td>73.608120</td>\\n\",\n       \"      <td>11003.031625</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>57</th>\\n\",\n       \"      <td>2007</td>\\n\",\n       \"      <td>Asia</td>\\n\",\n       \"      <td>70.728485</td>\\n\",\n       \"      <td>12473.026870</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>58</th>\\n\",\n       \"      <td>2007</td>\\n\",\n       \"      <td>Europe</td>\\n\",\n       \"      <td>77.648600</td>\\n\",\n       \"      <td>25054.481636</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>59</th>\\n\",\n       \"      <td>2007</td>\\n\",\n       \"      <td>Oceania</td>\\n\",\n       \"      <td>80.719500</td>\\n\",\n       \"      <td>29810.188275</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"    year continent    lifeExp     gdpPercap\\n\",\n       \"0   1952    Africa  39.135500   1252.572466\\n\",\n       \"1   1952  Americas  53.279840   4079.062552\\n\",\n       \"2   1952      Asia  46.314394   5195.484004\\n\",\n       \"3   1952    Europe  64.408500   5661.057435\\n\",\n       \"4   1952   Oceania  69.255000  10298.085650\\n\",\n       \"5   1957    Africa  41.266346   1385.236062\\n\",\n       \"6   1957  Americas  55.960280   4616.043733\\n\",\n       \"7   1957      Asia  49.318544   5787.732940\\n\",\n       \"8   1957    Europe  66.703067   6963.012816\\n\",\n       \"9   1957   Oceania  70.295000  11598.522455\\n\",\n       \"10  1962    Africa  43.319442   1598.078825\\n\",\n       \"11  1962  Americas  58.398760   4901.541870\\n\",\n       \"12  1962      Asia  51.563223   5729.369625\\n\",\n       \"13  1962    Europe  68.539233   8365.486814\\n\",\n       \"14  1962   Oceania  71.085000  12696.452430\\n\",\n       \"15  1967    Africa  45.334538   2050.363801\\n\",\n       \"16  1967  Americas  60.410920   5668.253496\\n\",\n       \"17  1967      Asia  54.663640   5971.173374\\n\",\n       \"18  1967    Europe  69.737600  10143.823757\\n\",\n       \"19  1967   Oceania  71.310000  14495.021790\\n\",\n       \"20  1972    Africa  47.450942   2339.615674\\n\",\n       \"21  1972  Americas  62.394920   6491.334139\\n\",\n       \"22  1972      Asia  57.319269   8187.468699\\n\",\n       \"23  1972    Europe  70.775033  12479.575246\\n\",\n       \"24  1972   Oceania  71.910000  16417.333380\\n\",\n       \"25  1977    Africa  49.580423   2585.938508\\n\",\n       \"26  1977  Americas  64.391560   7352.007126\\n\",\n       \"27  1977      Asia  59.610556   7791.314020\\n\",\n       \"28  1977    Europe  71.937767  14283.979110\\n\",\n       \"29  1977   Oceania  72.855000  17283.957605\\n\",\n       \"30  1982    Africa  51.592865   2481.592960\\n\",\n       \"31  1982  Americas  66.228840   7506.737088\\n\",\n       \"32  1982      Asia  62.617939   7434.135157\\n\",\n       \"33  1982    Europe  72.806400  15617.896551\\n\",\n       \"34  1982   Oceania  74.290000  18554.709840\\n\",\n       \"35  1987    Africa  53.344788   2282.668991\\n\",\n       \"36  1987  Americas  68.090720   7793.400261\\n\",\n       \"37  1987      Asia  64.851182   7608.226508\\n\",\n       \"38  1987    Europe  73.642167  17214.310727\\n\",\n       \"39  1987   Oceania  75.320000  20448.040160\\n\",\n       \"40  1992    Africa  53.629577   2281.810333\\n\",\n       \"41  1992  Americas  69.568360   8044.934406\\n\",\n       \"42  1992      Asia  66.537212   8639.690248\\n\",\n       \"43  1992    Europe  74.440100  17061.568084\\n\",\n       \"44  1992   Oceania  76.945000  20894.045885\\n\",\n       \"45  1997    Africa  53.598269   2378.759555\\n\",\n       \"46  1997  Americas  71.150480   8889.300863\\n\",\n       \"47  1997      Asia  68.020515   9834.093295\\n\",\n       \"48  1997    Europe  75.505167  19076.781802\\n\",\n       \"49  1997   Oceania  78.190000  24024.175170\\n\",\n       \"50  2002    Africa  53.325231   2599.385159\\n\",\n       \"51  2002  Americas  72.422040   9287.677107\\n\",\n       \"52  2002      Asia  69.233879  10174.090397\\n\",\n       \"53  2002    Europe  76.700600  21711.732422\\n\",\n       \"54  2002   Oceania  79.740000  26938.778040\\n\",\n       \"55  2007    Africa  54.806038   3089.032605\\n\",\n       \"56  2007  Americas  73.608120  11003.031625\\n\",\n       \"57  2007      Asia  70.728485  12473.026870\\n\",\n       \"58  2007    Europe  77.648600  25054.481636\\n\",\n       \"59  2007   Oceania  80.719500  29810.188275\"\n      ]\n     },\n     \"execution_count\": 39,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"(df\\n\",\n    \"    .groupby(['year', 'continent'])[['lifeExp', 'gdpPercap']]\\n\",\n    \"    .mean()\\n\",\n    \"    .reset_index()\\n\",\n    \")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:05.172859Z\",\n     \"start_time\": \"2018-11-16T13:42:04.743300Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": 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\\n\",\n      \"text/plain\": [\n       \"<Figure size 432x288 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"needs_background\": \"light\"\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"import matplotlib.pyplot as plt\\n\",\n    \"# probably don't need the magic anymore\\n\",\n    \"%matplotlib inline\\n\",\n    \"\\n\",\n    \"(df\\n\",\n    \"     .groupby(['year'])\\n\",\n    \"     [['lifeExp']]\\n\",\n    \"     .mean()\\n\",\n    \"     .plot()\\n\",\n    \")\\n\",\n    \"plt.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": []\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.6.6\"\n  },\n  \"varInspector\": {\n   \"cols\": {\n    \"lenName\": 16,\n    \"lenType\": 16,\n    \"lenVar\": 40\n   },\n   \"kernels_config\": {\n    \"python\": {\n     \"delete_cmd_postfix\": \"\",\n     \"delete_cmd_prefix\": \"del \",\n     \"library\": \"var_list.py\",\n     \"varRefreshCmd\": \"print(var_dic_list())\"\n    },\n    \"r\": {\n     \"delete_cmd_postfix\": \") \",\n     \"delete_cmd_prefix\": \"rm(\",\n     \"library\": \"var_list.r\",\n     \"varRefreshCmd\": \"cat(var_dic_list()) \"\n    }\n   },\n   \"types_to_exclude\": [\n    \"module\",\n    \"function\",\n    \"builtin_function_or_method\",\n    \"instance\",\n    \"_Feature\"\n   ],\n   \"window_display\": false\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 2\n}\n"
  },
  {
    "path": "notes/02-tidy.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.070823Z\",\n     \"start_time\": \"2018-11-16T13:42:38.506548Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import pandas as pd\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.096246Z\",\n     \"start_time\": \"2018-11-16T13:42:39.075575Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"pew = pd.read_csv('../data/pew.csv')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.144456Z\",\n     \"start_time\": \"2018-11-16T13:42:39.102077Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>religion</th>\\n\",\n       \"      <th>&lt;$10k</th>\\n\",\n       \"      <th>$10-20k</th>\\n\",\n       \"      <th>$20-30k</th>\\n\",\n       \"      <th>$30-40k</th>\\n\",\n       \"      <th>$40-50k</th>\\n\",\n       \"      <th>$50-75k</th>\\n\",\n       \"      <th>$75-100k</th>\\n\",\n       \"      <th>$100-150k</th>\\n\",\n       \"      <th>&gt;150k</th>\\n\",\n       \"      <th>Don't know/refused</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>Agnostic</td>\\n\",\n       \"      <td>27</td>\\n\",\n       \"      <td>34</td>\\n\",\n       \"      <td>60</td>\\n\",\n       \"      <td>81</td>\\n\",\n       \"      <td>76</td>\\n\",\n       \"      <td>137</td>\\n\",\n       \"      <td>122</td>\\n\",\n       \"      <td>109</td>\\n\",\n       \"      <td>84</td>\\n\",\n       \"      <td>96</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>Atheist</td>\\n\",\n       \"      <td>12</td>\\n\",\n       \"      <td>27</td>\\n\",\n       \"      <td>37</td>\\n\",\n       \"      <td>52</td>\\n\",\n       \"      <td>35</td>\\n\",\n       \"      <td>70</td>\\n\",\n       \"      <td>73</td>\\n\",\n       \"      <td>59</td>\\n\",\n       \"      <td>74</td>\\n\",\n       \"      <td>76</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>Buddhist</td>\\n\",\n       \"      <td>27</td>\\n\",\n       \"      <td>21</td>\\n\",\n       \"      <td>30</td>\\n\",\n       \"      <td>34</td>\\n\",\n       \"      <td>33</td>\\n\",\n       \"      <td>58</td>\\n\",\n       \"      <td>62</td>\\n\",\n       \"      <td>39</td>\\n\",\n       \"      <td>53</td>\\n\",\n       \"      <td>54</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>Catholic</td>\\n\",\n       \"      <td>418</td>\\n\",\n       \"      <td>617</td>\\n\",\n       \"      <td>732</td>\\n\",\n       \"      <td>670</td>\\n\",\n       \"      <td>638</td>\\n\",\n       \"      <td>1116</td>\\n\",\n       \"      <td>949</td>\\n\",\n       \"      <td>792</td>\\n\",\n       \"      <td>633</td>\\n\",\n       \"      <td>1489</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>Don’t know/refused</td>\\n\",\n       \"      <td>15</td>\\n\",\n       \"      <td>14</td>\\n\",\n       \"      <td>15</td>\\n\",\n       \"      <td>11</td>\\n\",\n       \"      <td>10</td>\\n\",\n       \"      <td>35</td>\\n\",\n       \"      <td>21</td>\\n\",\n       \"      <td>17</td>\\n\",\n       \"      <td>18</td>\\n\",\n       \"      <td>116</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"             religion  <$10k  $10-20k  $20-30k  $30-40k  $40-50k  $50-75k  \\\\\\n\",\n       \"0            Agnostic     27       34       60       81       76      137   \\n\",\n       \"1             Atheist     12       27       37       52       35       70   \\n\",\n       \"2            Buddhist     27       21       30       34       33       58   \\n\",\n       \"3            Catholic    418      617      732      670      638     1116   \\n\",\n       \"4  Don’t know/refused     15       14       15       11       10       35   \\n\",\n       \"\\n\",\n       \"   $75-100k  $100-150k  >150k  Don't know/refused  \\n\",\n       \"0       122        109     84                  96  \\n\",\n       \"1        73         59     74                  76  \\n\",\n       \"2        62         39     53                  54  \\n\",\n       \"3       949        792    633                1489  \\n\",\n       \"4        21         17     18                 116  \"\n      ]\n     },\n     \"execution_count\": 3,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"pew.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.161533Z\",\n     \"start_time\": \"2018-11-16T13:42:39.147297Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"pew_long = pd.melt(pew, id_vars='religion')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.181719Z\",\n     \"start_time\": \"2018-11-16T13:42:39.166032Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>religion</th>\\n\",\n       \"      <th>variable</th>\\n\",\n       \"      <th>value</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>Agnostic</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>27</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>Atheist</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>12</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>Buddhist</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>27</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>Catholic</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>418</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>Don’t know/refused</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>15</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"             religion variable  value\\n\",\n       \"0            Agnostic    <$10k     27\\n\",\n       \"1             Atheist    <$10k     12\\n\",\n       \"2            Buddhist    <$10k     27\\n\",\n       \"3            Catholic    <$10k    418\\n\",\n       \"4  Don’t know/refused    <$10k     15\"\n      ]\n     },\n     \"execution_count\": 5,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"pew_long.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.208368Z\",\n     \"start_time\": \"2018-11-16T13:42:39.184798Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>religion</th>\\n\",\n       \"      <th>income</th>\\n\",\n       \"      <th>count</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>Agnostic</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>27</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>Atheist</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>12</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>Buddhist</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>27</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>Catholic</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>418</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>Don’t know/refused</td>\\n\",\n       \"      <td>&lt;$10k</td>\\n\",\n       \"      <td>15</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"             religion income  count\\n\",\n       \"0            Agnostic  <$10k     27\\n\",\n       \"1             Atheist  <$10k     12\\n\",\n       \"2            Buddhist  <$10k     27\\n\",\n       \"3            Catholic  <$10k    418\\n\",\n       \"4  Don’t know/refused  <$10k     15\"\n      ]\n     },\n     \"execution_count\": 6,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"pew_long = pd.melt(pew, id_vars='religion', var_name='income', value_name='count')\\n\",\n    \"pew_long.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.229529Z\",\n     \"start_time\": \"2018-11-16T13:42:39.211956Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"billboard = pd.read_csv('../data/billboard.csv')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.271222Z\",\n     \"start_time\": \"2018-11-16T13:42:39.232172Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>artist</th>\\n\",\n       \"      <th>track</th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>date.entered</th>\\n\",\n       \"      <th>wk1</th>\\n\",\n       \"      <th>wk2</th>\\n\",\n       \"      <th>wk3</th>\\n\",\n       \"      <th>wk4</th>\\n\",\n       \"      <th>wk5</th>\\n\",\n       \"      <th>...</th>\\n\",\n       \"      <th>wk67</th>\\n\",\n       \"      <th>wk68</th>\\n\",\n       \"      <th>wk69</th>\\n\",\n       \"      <th>wk70</th>\\n\",\n       \"      <th>wk71</th>\\n\",\n       \"      <th>wk72</th>\\n\",\n       \"      <th>wk73</th>\\n\",\n       \"      <th>wk74</th>\\n\",\n       \"      <th>wk75</th>\\n\",\n       \"      <th>wk76</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>87</td>\\n\",\n       \"      <td>82.0</td>\\n\",\n       \"      <td>72.0</td>\\n\",\n       \"      <td>77.0</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2Ge+her</td>\\n\",\n       \"      <td>The Hardest Part Of ...</td>\\n\",\n       \"      <td>3:15</td>\\n\",\n       \"      <td>2000-09-02</td>\\n\",\n       \"      <td>91</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"      <td>92.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Kryptonite</td>\\n\",\n       \"      <td>3:53</td>\\n\",\n       \"      <td>2000-04-08</td>\\n\",\n       \"      <td>81</td>\\n\",\n       \"      <td>70.0</td>\\n\",\n       \"      <td>68.0</td>\\n\",\n       \"      <td>67.0</td>\\n\",\n       \"      <td>66.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>76</td>\\n\",\n       \"      <td>76.0</td>\\n\",\n       \"      <td>72.0</td>\\n\",\n       \"      <td>69.0</td>\\n\",\n       \"      <td>67.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>504 Boyz</td>\\n\",\n       \"      <td>Wobble Wobble</td>\\n\",\n       \"      <td>3:35</td>\\n\",\n       \"      <td>2000-04-15</td>\\n\",\n       \"      <td>57</td>\\n\",\n       \"      <td>34.0</td>\\n\",\n       \"      <td>25.0</td>\\n\",\n       \"      <td>17.0</td>\\n\",\n       \"      <td>17.0</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"<p>5 rows × 81 columns</p>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   year        artist                    track  time date.entered  wk1   wk2  \\\\\\n\",\n       \"0  2000         2 Pac  Baby Don't Cry (Keep...  4:22   2000-02-26   87  82.0   \\n\",\n       \"1  2000       2Ge+her  The Hardest Part Of ...  3:15   2000-09-02   91  87.0   \\n\",\n       \"2  2000  3 Doors Down               Kryptonite  3:53   2000-04-08   81  70.0   \\n\",\n       \"3  2000  3 Doors Down                    Loser  4:24   2000-10-21   76  76.0   \\n\",\n       \"4  2000      504 Boyz            Wobble Wobble  3:35   2000-04-15   57  34.0   \\n\",\n       \"\\n\",\n       \"    wk3   wk4   wk5  ...   wk67  wk68  wk69  wk70  wk71  wk72  wk73  wk74  \\\\\\n\",\n       \"0  72.0  77.0  87.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"1  92.0   NaN   NaN  ...    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"2  68.0  67.0  66.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"3  72.0  69.0  67.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"4  25.0  17.0  17.0  ...    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \\n\",\n       \"\\n\",\n       \"   wk75  wk76  \\n\",\n       \"0   NaN   NaN  \\n\",\n       \"1   NaN   NaN  \\n\",\n       \"2   NaN   NaN  \\n\",\n       \"3   NaN   NaN  \\n\",\n       \"4   NaN   NaN  \\n\",\n       \"\\n\",\n       \"[5 rows x 81 columns]\"\n      ]\n     },\n     \"execution_count\": 8,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.296998Z\",\n     \"start_time\": \"2018-11-16T13:42:39.275016Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"billboard_long = pd.melt(\\n\",\n    \"    billboard,\\n\",\n    \"    id_vars=['year', 'artist', 'track', 'time', 'date.entered'],\\n\",\n    \"    var_name='week',\\n\",\n    \"    value_name='rating'\\n\",\n    \")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.316973Z\",\n     \"start_time\": \"2018-11-16T13:42:39.299792Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>artist</th>\\n\",\n       \"      <th>track</th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>date.entered</th>\\n\",\n       \"      <th>week</th>\\n\",\n       \"      <th>rating</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2Ge+her</td>\\n\",\n       \"      <td>The Hardest Part Of ...</td>\\n\",\n       \"      <td>3:15</td>\\n\",\n       \"      <td>2000-09-02</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>91.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Kryptonite</td>\\n\",\n       \"      <td>3:53</td>\\n\",\n       \"      <td>2000-04-08</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>81.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>76.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>504 Boyz</td>\\n\",\n       \"      <td>Wobble Wobble</td>\\n\",\n       \"      <td>3:35</td>\\n\",\n       \"      <td>2000-04-15</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>57.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   year        artist                    track  time date.entered week  rating\\n\",\n       \"0  2000         2 Pac  Baby Don't Cry (Keep...  4:22   2000-02-26  wk1    87.0\\n\",\n       \"1  2000       2Ge+her  The Hardest Part Of ...  3:15   2000-09-02  wk1    91.0\\n\",\n       \"2  2000  3 Doors Down               Kryptonite  3:53   2000-04-08  wk1    81.0\\n\",\n       \"3  2000  3 Doors Down                    Loser  4:24   2000-10-21  wk1    76.0\\n\",\n       \"4  2000      504 Boyz            Wobble Wobble  3:35   2000-04-15  wk1    57.0\"\n      ]\n     },\n     \"execution_count\": 10,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_long.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.329271Z\",\n     \"start_time\": \"2018-11-16T13:42:39.321920Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(24092, 7)\"\n      ]\n     },\n     \"execution_count\": 11,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_long.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.343511Z\",\n     \"start_time\": \"2018-11-16T13:42:39.333385Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ebola = pd.read_csv('../data/country_timeseries.csv')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.373494Z\",\n     \"start_time\": \"2018-11-16T13:42:39.346137Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Date</th>\\n\",\n       \"      <th>Day</th>\\n\",\n       \"      <th>Cases_Guinea</th>\\n\",\n       \"      <th>Cases_Liberia</th>\\n\",\n       \"      <th>Cases_SierraLeone</th>\\n\",\n       \"      <th>Cases_Nigeria</th>\\n\",\n       \"      <th>Cases_Senegal</th>\\n\",\n       \"      <th>Cases_UnitedStates</th>\\n\",\n       \"      <th>Cases_Spain</th>\\n\",\n       \"      <th>Cases_Mali</th>\\n\",\n       \"      <th>Deaths_Guinea</th>\\n\",\n       \"      <th>Deaths_Liberia</th>\\n\",\n       \"      <th>Deaths_SierraLeone</th>\\n\",\n       \"      <th>Deaths_Nigeria</th>\\n\",\n       \"      <th>Deaths_Senegal</th>\\n\",\n       \"      <th>Deaths_UnitedStates</th>\\n\",\n       \"      <th>Deaths_Spain</th>\\n\",\n       \"      <th>Deaths_Mali</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1/5/2015</td>\\n\",\n       \"      <td>289</td>\\n\",\n       \"      <td>2776.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>10030.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>1786.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>2977.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>1/4/2015</td>\\n\",\n       \"      <td>288</td>\\n\",\n       \"      <td>2775.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>9780.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>1781.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>2943.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>1/3/2015</td>\\n\",\n       \"      <td>287</td>\\n\",\n       \"      <td>2769.0</td>\\n\",\n       \"      <td>8166.0</td>\\n\",\n       \"      <td>9722.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>1767.0</td>\\n\",\n       \"      <td>3496.0</td>\\n\",\n       \"      <td>2915.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>1/2/2015</td>\\n\",\n       \"      <td>286</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>8157.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>3496.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>12/31/2014</td>\\n\",\n       \"      <td>284</td>\\n\",\n       \"      <td>2730.0</td>\\n\",\n       \"      <td>8115.0</td>\\n\",\n       \"      <td>9633.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>1739.0</td>\\n\",\n       \"      <td>3471.0</td>\\n\",\n       \"      <td>2827.0</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"         Date  Day  Cases_Guinea  Cases_Liberia  Cases_SierraLeone  \\\\\\n\",\n       \"0    1/5/2015  289        2776.0            NaN            10030.0   \\n\",\n       \"1    1/4/2015  288        2775.0            NaN             9780.0   \\n\",\n       \"2    1/3/2015  287        2769.0         8166.0             9722.0   \\n\",\n       \"3    1/2/2015  286           NaN         8157.0                NaN   \\n\",\n       \"4  12/31/2014  284        2730.0         8115.0             9633.0   \\n\",\n       \"\\n\",\n       \"   Cases_Nigeria  Cases_Senegal  Cases_UnitedStates  Cases_Spain  Cases_Mali  \\\\\\n\",\n       \"0            NaN            NaN                 NaN          NaN         NaN   \\n\",\n       \"1            NaN            NaN                 NaN          NaN         NaN   \\n\",\n       \"2            NaN            NaN                 NaN          NaN         NaN   \\n\",\n       \"3            NaN            NaN                 NaN          NaN         NaN   \\n\",\n       \"4            NaN            NaN                 NaN          NaN         NaN   \\n\",\n       \"\\n\",\n       \"   Deaths_Guinea  Deaths_Liberia  Deaths_SierraLeone  Deaths_Nigeria  \\\\\\n\",\n       \"0         1786.0             NaN              2977.0             NaN   \\n\",\n       \"1         1781.0             NaN              2943.0             NaN   \\n\",\n       \"2         1767.0          3496.0              2915.0             NaN   \\n\",\n       \"3            NaN          3496.0                 NaN             NaN   \\n\",\n       \"4         1739.0          3471.0              2827.0             NaN   \\n\",\n       \"\\n\",\n       \"   Deaths_Senegal  Deaths_UnitedStates  Deaths_Spain  Deaths_Mali  \\n\",\n       \"0             NaN                  NaN           NaN          NaN  \\n\",\n       \"1             NaN                  NaN           NaN          NaN  \\n\",\n       \"2             NaN                  NaN           NaN          NaN  \\n\",\n       \"3             NaN                  NaN           NaN          NaN  \\n\",\n       \"4             NaN                  NaN           NaN          NaN  \"\n      ]\n     },\n     \"execution_count\": 13,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ebola.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.397020Z\",\n     \"start_time\": \"2018-11-16T13:42:39.376247Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Date</th>\\n\",\n       \"      <th>Day</th>\\n\",\n       \"      <th>variable</th>\\n\",\n       \"      <th>value</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1/5/2015</td>\\n\",\n       \"      <td>289</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2776.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>1/4/2015</td>\\n\",\n       \"      <td>288</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2775.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>1/3/2015</td>\\n\",\n       \"      <td>287</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2769.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>1/2/2015</td>\\n\",\n       \"      <td>286</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>12/31/2014</td>\\n\",\n       \"      <td>284</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2730.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"         Date  Day      variable   value\\n\",\n       \"0    1/5/2015  289  Cases_Guinea  2776.0\\n\",\n       \"1    1/4/2015  288  Cases_Guinea  2775.0\\n\",\n       \"2    1/3/2015  287  Cases_Guinea  2769.0\\n\",\n       \"3    1/2/2015  286  Cases_Guinea     NaN\\n\",\n       \"4  12/31/2014  284  Cases_Guinea  2730.0\"\n      ]\n     },\n     \"execution_count\": 14,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ebola_long = pd.melt(ebola, id_vars=['Date', 'Day'])\\n\",\n    \"ebola_long.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.406206Z\",\n     \"start_time\": \"2018-11-16T13:42:39.402117Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['Cases', 'Guinea']\"\n      ]\n     },\n     \"execution_count\": 15,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"'Cases_Guinea'.split('_')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.414622Z\",\n     \"start_time\": \"2018-11-16T13:42:39.409189Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# string accessor\\n\",\n    \"variable_split = ebola_long['variable'].str.split('_')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.421587Z\",\n     \"start_time\": \"2018-11-16T13:42:39.417087Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"pandas.core.series.Series\"\n      ]\n     },\n     \"execution_count\": 17,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(variable_split)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.430364Z\",\n     \"start_time\": \"2018-11-16T13:42:39.424135Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0    [Cases, Guinea]\\n\",\n       \"1    [Cases, Guinea]\\n\",\n       \"2    [Cases, Guinea]\\n\",\n       \"3    [Cases, Guinea]\\n\",\n       \"4    [Cases, Guinea]\\n\",\n       \"Name: variable, dtype: object\"\n      ]\n     },\n     \"execution_count\": 18,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"variable_split.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.437577Z\",\n     \"start_time\": \"2018-11-16T13:42:39.432617Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"list\"\n      ]\n     },\n     \"execution_count\": 19,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(variable_split[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.448491Z\",\n     \"start_time\": \"2018-11-16T13:42:39.439978Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'Guinea'\"\n      ]\n     },\n     \"execution_count\": 20,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"variable_split[0][1]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.461583Z\",\n     \"start_time\": \"2018-11-16T13:42:39.452512Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0    Cases\\n\",\n       \"1    Cases\\n\",\n       \"2    Cases\\n\",\n       \"3    Cases\\n\",\n       \"4    Cases\\n\",\n       \"Name: variable, dtype: object\"\n      ]\n     },\n     \"execution_count\": 21,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"status_values = variable_split.str.get(0)\\n\",\n    \"status_values.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.473923Z\",\n     \"start_time\": \"2018-11-16T13:42:39.464376Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0    Guinea\\n\",\n       \"1    Guinea\\n\",\n       \"2    Guinea\\n\",\n       \"3    Guinea\\n\",\n       \"4    Guinea\\n\",\n       \"Name: variable, dtype: object\"\n      ]\n     },\n     \"execution_count\": 22,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"country_values = variable_split.str.get(1)\\n\",\n    \"country_values.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.481422Z\",\n     \"start_time\": \"2018-11-16T13:42:39.476782Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ebola_long['status'] = status_values\\n\",\n    \"ebola_long['country'] = country_values\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.504921Z\",\n     \"start_time\": \"2018-11-16T13:42:39.483985Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Date</th>\\n\",\n       \"      <th>Day</th>\\n\",\n       \"      <th>variable</th>\\n\",\n       \"      <th>value</th>\\n\",\n       \"      <th>status</th>\\n\",\n       \"      <th>country</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1/5/2015</td>\\n\",\n       \"      <td>289</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2776.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>1/4/2015</td>\\n\",\n       \"      <td>288</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2775.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>1/3/2015</td>\\n\",\n       \"      <td>287</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2769.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>1/2/2015</td>\\n\",\n       \"      <td>286</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>12/31/2014</td>\\n\",\n       \"      <td>284</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2730.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"         Date  Day      variable   value status country\\n\",\n       \"0    1/5/2015  289  Cases_Guinea  2776.0  Cases  Guinea\\n\",\n       \"1    1/4/2015  288  Cases_Guinea  2775.0  Cases  Guinea\\n\",\n       \"2    1/3/2015  287  Cases_Guinea  2769.0  Cases  Guinea\\n\",\n       \"3    1/2/2015  286  Cases_Guinea     NaN  Cases  Guinea\\n\",\n       \"4  12/31/2014  284  Cases_Guinea  2730.0  Cases  Guinea\"\n      ]\n     },\n     \"execution_count\": 24,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ebola_long.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.519075Z\",\n     \"start_time\": \"2018-11-16T13:42:39.507515Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"variable_split = ebola_long['variable'].str.split('_', expand=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.526042Z\",\n     \"start_time\": \"2018-11-16T13:42:39.521573Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"pandas.core.frame.DataFrame\"\n      ]\n     },\n     \"execution_count\": 26,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(variable_split)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.537980Z\",\n     \"start_time\": \"2018-11-16T13:42:39.528646Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <th>1</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"       0       1\\n\",\n       \"0  Cases  Guinea\\n\",\n       \"1  Cases  Guinea\\n\",\n       \"2  Cases  Guinea\\n\",\n       \"3  Cases  Guinea\\n\",\n       \"4  Cases  Guinea\"\n      ]\n     },\n     \"execution_count\": 27,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"variable_split.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.544148Z\",\n     \"start_time\": \"2018-11-16T13:42:39.540410Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"variable_split.columns = ['status_expand', 'country_expand']\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.559566Z\",\n     \"start_time\": \"2018-11-16T13:42:39.546633Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>status_expand</th>\\n\",\n       \"      <th>country_expand</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"  status_expand country_expand\\n\",\n       \"0         Cases         Guinea\\n\",\n       \"1         Cases         Guinea\\n\",\n       \"2         Cases         Guinea\\n\",\n       \"3         Cases         Guinea\\n\",\n       \"4         Cases         Guinea\"\n      ]\n     },\n     \"execution_count\": 29,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"variable_split.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.581032Z\",\n     \"start_time\": \"2018-11-16T13:42:39.562713Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ebola_long = pd.concat([ebola_long, variable_split], axis=1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:42:39.605972Z\",\n     \"start_time\": \"2018-11-16T13:42:39.585434Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Date</th>\\n\",\n       \"      <th>Day</th>\\n\",\n       \"      <th>variable</th>\\n\",\n       \"      <th>value</th>\\n\",\n       \"      <th>status</th>\\n\",\n       \"      <th>country</th>\\n\",\n       \"      <th>status_expand</th>\\n\",\n       \"      <th>country_expand</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1/5/2015</td>\\n\",\n       \"      <td>289</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2776.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>1/4/2015</td>\\n\",\n       \"      <td>288</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2775.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>1/3/2015</td>\\n\",\n       \"      <td>287</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2769.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>1/2/2015</td>\\n\",\n       \"      <td>286</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>12/31/2014</td>\\n\",\n       \"      <td>284</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2730.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"         Date  Day      variable   value status country status_expand  \\\\\\n\",\n       \"0    1/5/2015  289  Cases_Guinea  2776.0  Cases  Guinea         Cases   \\n\",\n       \"1    1/4/2015  288  Cases_Guinea  2775.0  Cases  Guinea         Cases   \\n\",\n       \"2    1/3/2015  287  Cases_Guinea  2769.0  Cases  Guinea         Cases   \\n\",\n       \"3    1/2/2015  286  Cases_Guinea     NaN  Cases  Guinea         Cases   \\n\",\n       \"4  12/31/2014  284  Cases_Guinea  2730.0  Cases  Guinea         Cases   \\n\",\n       \"\\n\",\n       \"  country_expand  \\n\",\n       \"0         Guinea  \\n\",\n       \"1         Guinea  \\n\",\n       \"2         Guinea  \\n\",\n       \"3         Guinea  \\n\",\n       \"4         Guinea  \"\n      ]\n     },\n     \"execution_count\": 31,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ebola_long.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:43:54.353832Z\",\n     \"start_time\": \"2018-11-16T13:43:54.335155Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ebola_long[['status_sim', 'country_sim']] = ebola_long['variable'].str.split('_', expand=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:00.980178Z\",\n     \"start_time\": \"2018-11-16T13:44:00.940560Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Date</th>\\n\",\n       \"      <th>Day</th>\\n\",\n       \"      <th>variable</th>\\n\",\n       \"      <th>value</th>\\n\",\n       \"      <th>status</th>\\n\",\n       \"      <th>country</th>\\n\",\n       \"      <th>status_expand</th>\\n\",\n       \"      <th>country_expand</th>\\n\",\n       \"      <th>status_sim</th>\\n\",\n       \"      <th>country_sim</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1/5/2015</td>\\n\",\n       \"      <td>289</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2776.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>1/4/2015</td>\\n\",\n       \"      <td>288</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2775.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>1/3/2015</td>\\n\",\n       \"      <td>287</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2769.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>1/2/2015</td>\\n\",\n       \"      <td>286</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>12/31/2014</td>\\n\",\n       \"      <td>284</td>\\n\",\n       \"      <td>Cases_Guinea</td>\\n\",\n       \"      <td>2730.0</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"      <td>Cases</td>\\n\",\n       \"      <td>Guinea</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"         Date  Day      variable   value status country status_expand  \\\\\\n\",\n       \"0    1/5/2015  289  Cases_Guinea  2776.0  Cases  Guinea         Cases   \\n\",\n       \"1    1/4/2015  288  Cases_Guinea  2775.0  Cases  Guinea         Cases   \\n\",\n       \"2    1/3/2015  287  Cases_Guinea  2769.0  Cases  Guinea         Cases   \\n\",\n       \"3    1/2/2015  286  Cases_Guinea     NaN  Cases  Guinea         Cases   \\n\",\n       \"4  12/31/2014  284  Cases_Guinea  2730.0  Cases  Guinea         Cases   \\n\",\n       \"\\n\",\n       \"  country_expand status_sim country_sim  \\n\",\n       \"0         Guinea      Cases      Guinea  \\n\",\n       \"1         Guinea      Cases      Guinea  \\n\",\n       \"2         Guinea      Cases      Guinea  \\n\",\n       \"3         Guinea      Cases      Guinea  \\n\",\n       \"4         Guinea      Cases      Guinea  \"\n      ]\n     },\n     \"execution_count\": 59,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ebola_long.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 60,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:06.865124Z\",\n     \"start_time\": \"2018-11-16T13:44:06.854788Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"weather = pd.read_csv('../data/weather.csv')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:07.090594Z\",\n     \"start_time\": \"2018-11-16T13:44:07.084093Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(22, 35)\"\n      ]\n     },\n     \"execution_count\": 61,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"weather.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 62,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:07.345507Z\",\n     \"start_time\": \"2018-11-16T13:44:07.317262Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>id</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>month</th>\\n\",\n       \"      <th>element</th>\\n\",\n       \"      <th>d1</th>\\n\",\n       \"      <th>d2</th>\\n\",\n       \"      <th>d3</th>\\n\",\n       \"      <th>d4</th>\\n\",\n       \"      <th>d5</th>\\n\",\n       \"      <th>d6</th>\\n\",\n       \"      <th>d7</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>tmin</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>27.3</td>\\n\",\n       \"      <td>24.1</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>tmin</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>14.4</td>\\n\",\n       \"      <td>14.4</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>32.1</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"        id  year  month element  d1    d2    d3  d4    d5  d6  d7\\n\",\n       \"0  MX17004  2010      1    tmax NaN   NaN   NaN NaN   NaN NaN NaN\\n\",\n       \"1  MX17004  2010      1    tmin NaN   NaN   NaN NaN   NaN NaN NaN\\n\",\n       \"2  MX17004  2010      2    tmax NaN  27.3  24.1 NaN   NaN NaN NaN\\n\",\n       \"3  MX17004  2010      2    tmin NaN  14.4  14.4 NaN   NaN NaN NaN\\n\",\n       \"4  MX17004  2010      3    tmax NaN   NaN   NaN NaN  32.1 NaN NaN\"\n      ]\n     },\n     \"execution_count\": 62,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"weather.iloc[:5, :11]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 63,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:08.216217Z\",\n     \"start_time\": \"2018-11-16T13:44:08.203743Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"weather_melt = pd.melt(\\n\",\n    \"    weather,\\n\",\n    \"    id_vars=['id', 'year', 'month', 'element'],\\n\",\n    \"    var_name='day',\\n\",\n    \"    value_name='temp'\\n\",\n    \")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:08.681722Z\",\n     \"start_time\": \"2018-11-16T13:44:08.661909Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>id</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>month</th>\\n\",\n       \"      <th>element</th>\\n\",\n       \"      <th>day</th>\\n\",\n       \"      <th>temp</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>d1</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>tmin</td>\\n\",\n       \"      <td>d1</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>d1</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>tmin</td>\\n\",\n       \"      <td>d1</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>tmax</td>\\n\",\n       \"      <td>d1</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"        id  year  month element day  temp\\n\",\n       \"0  MX17004  2010      1    tmax  d1   NaN\\n\",\n       \"1  MX17004  2010      1    tmin  d1   NaN\\n\",\n       \"2  MX17004  2010      2    tmax  d1   NaN\\n\",\n       \"3  MX17004  2010      2    tmin  d1   NaN\\n\",\n       \"4  MX17004  2010      3    tmax  d1   NaN\"\n      ]\n     },\n     \"execution_count\": 64,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"weather_melt.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 65,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:09.439430Z\",\n     \"start_time\": \"2018-11-16T13:44:09.420131Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"weather_tidy = weather_melt.pivot_table(\\n\",\n    \"    index=['id', 'year', 'month', 'day'],\\n\",\n    \"    columns='element',\\n\",\n    \"    values='temp'\\n\",\n    \")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 66,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:10.005337Z\",\n     \"start_time\": \"2018-11-16T13:44:09.999690Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"pandas.core.frame.DataFrame\"\n      ]\n     },\n     \"execution_count\": 66,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(weather_tidy)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 67,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:10.373468Z\",\n     \"start_time\": \"2018-11-16T13:44:10.351617Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th>element</th>\\n\",\n       \"      <th>id</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>month</th>\\n\",\n       \"      <th>day</th>\\n\",\n       \"      <th>tmax</th>\\n\",\n       \"      <th>tmin</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>d30</td>\\n\",\n       \"      <td>27.8</td>\\n\",\n       \"      <td>14.5</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>d11</td>\\n\",\n       \"      <td>29.7</td>\\n\",\n       \"      <td>13.4</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>d2</td>\\n\",\n       \"      <td>27.3</td>\\n\",\n       \"      <td>14.4</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>d23</td>\\n\",\n       \"      <td>29.9</td>\\n\",\n       \"      <td>10.7</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>d3</td>\\n\",\n       \"      <td>24.1</td>\\n\",\n       \"      <td>14.4</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"element       id  year  month  day  tmax  tmin\\n\",\n       \"0        MX17004  2010      1  d30  27.8  14.5\\n\",\n       \"1        MX17004  2010      2  d11  29.7  13.4\\n\",\n       \"2        MX17004  2010      2   d2  27.3  14.4\\n\",\n       \"3        MX17004  2010      2  d23  29.9  10.7\\n\",\n       \"4        MX17004  2010      2   d3  24.1  14.4\"\n      ]\n     },\n     \"execution_count\": 67,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"weather_tidy.reset_index().head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 68,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:10.971388Z\",\n     \"start_time\": \"2018-11-16T13:44:10.950994Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"weather_tidy = (weather_melt\\n\",\n    \"                .pivot_table(\\n\",\n    \"                    index=['id', 'year', 'month', 'day'],\\n\",\n    \"                    columns='element',\\n\",\n    \"                    values='temp')\\n\",\n    \"                .reset_index()\\n\",\n    \")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 69,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:11.577593Z\",\n     \"start_time\": \"2018-11-16T13:44:11.563268Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th>element</th>\\n\",\n       \"      <th>id</th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>month</th>\\n\",\n       \"      <th>day</th>\\n\",\n       \"      <th>tmax</th>\\n\",\n       \"      <th>tmin</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>d30</td>\\n\",\n       \"      <td>27.8</td>\\n\",\n       \"      <td>14.5</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>d11</td>\\n\",\n       \"      <td>29.7</td>\\n\",\n       \"      <td>13.4</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>d2</td>\\n\",\n       \"      <td>27.3</td>\\n\",\n       \"      <td>14.4</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>d23</td>\\n\",\n       \"      <td>29.9</td>\\n\",\n       \"      <td>10.7</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>MX17004</td>\\n\",\n       \"      <td>2010</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>d3</td>\\n\",\n       \"      <td>24.1</td>\\n\",\n       \"      <td>14.4</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"element       id  year  month  day  tmax  tmin\\n\",\n       \"0        MX17004  2010      1  d30  27.8  14.5\\n\",\n       \"1        MX17004  2010      2  d11  29.7  13.4\\n\",\n       \"2        MX17004  2010      2   d2  27.3  14.4\\n\",\n       \"3        MX17004  2010      2  d23  29.9  10.7\\n\",\n       \"4        MX17004  2010      2   d3  24.1  14.4\"\n      ]\n     },\n     \"execution_count\": 69,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"weather_tidy.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 70,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:12.101429Z\",\n     \"start_time\": \"2018-11-16T13:44:12.084239Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>artist</th>\\n\",\n       \"      <th>track</th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>date.entered</th>\\n\",\n       \"      <th>week</th>\\n\",\n       \"      <th>rating</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2Ge+her</td>\\n\",\n       \"      <td>The Hardest Part Of ...</td>\\n\",\n       \"      <td>3:15</td>\\n\",\n       \"      <td>2000-09-02</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>91.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Kryptonite</td>\\n\",\n       \"      <td>3:53</td>\\n\",\n       \"      <td>2000-04-08</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>81.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>76.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>504 Boyz</td>\\n\",\n       \"      <td>Wobble Wobble</td>\\n\",\n       \"      <td>3:35</td>\\n\",\n       \"      <td>2000-04-15</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>57.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   year        artist                    track  time date.entered week  rating\\n\",\n       \"0  2000         2 Pac  Baby Don't Cry (Keep...  4:22   2000-02-26  wk1    87.0\\n\",\n       \"1  2000       2Ge+her  The Hardest Part Of ...  3:15   2000-09-02  wk1    91.0\\n\",\n       \"2  2000  3 Doors Down               Kryptonite  3:53   2000-04-08  wk1    81.0\\n\",\n       \"3  2000  3 Doors Down                    Loser  4:24   2000-10-21  wk1    76.0\\n\",\n       \"4  2000      504 Boyz            Wobble Wobble  3:35   2000-04-15  wk1    57.0\"\n      ]\n     },\n     \"execution_count\": 70,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_long.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 71,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:15.213674Z\",\n     \"start_time\": \"2018-11-16T13:44:15.172037Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>artist</th>\\n\",\n       \"      <th>track</th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>date.entered</th>\\n\",\n       \"      <th>week</th>\\n\",\n       \"      <th>rating</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>76.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>320</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk2</td>\\n\",\n       \"      <td>76.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>637</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk3</td>\\n\",\n       \"      <td>72.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>954</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk4</td>\\n\",\n       \"      <td>69.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      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\"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2222</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk8</td>\\n\",\n       \"      <td>59.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2539</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk9</td>\\n\",\n       \"      <td>62.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2856</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      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    \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>22193</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk71</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>22510</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk72</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>22827</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk73</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>23144</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk74</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>23461</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk75</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>23778</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>2000-10-21</td>\\n\",\n       \"      <td>wk76</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"<p>76 rows × 7 columns</p>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"       year        artist  track  time date.entered  week  rating\\n\",\n       \"3      2000  3 Doors Down  Loser  4:24   2000-10-21   wk1    76.0\\n\",\n       \"320    2000  3 Doors Down  Loser  4:24   2000-10-21   wk2    76.0\\n\",\n       \"637    2000  3 Doors Down  Loser  4:24   2000-10-21   wk3    72.0\\n\",\n       \"954    2000  3 Doors Down  Loser  4:24   2000-10-21   wk4    69.0\\n\",\n       \"1271   2000  3 Doors Down  Loser  4:24   2000-10-21   wk5    67.0\\n\",\n       \"1588   2000  3 Doors Down  Loser  4:24   2000-10-21   wk6    65.0\\n\",\n       \"1905   2000  3 Doors Down  Loser  4:24   2000-10-21   wk7    55.0\\n\",\n       \"2222   2000  3 Doors Down  Loser  4:24   2000-10-21   wk8    59.0\\n\",\n       \"2539   2000  3 Doors Down  Loser  4:24   2000-10-21   wk9    62.0\\n\",\n       \"2856   2000  3 Doors Down  Loser  4:24   2000-10-21  wk10    61.0\\n\",\n       \"3173   2000  3 Doors Down  Loser  4:24   2000-10-21  wk11    61.0\\n\",\n       \"3490   2000  3 Doors Down  Loser  4:24   2000-10-21  wk12    59.0\\n\",\n       \"3807   2000  3 Doors Down  Loser  4:24   2000-10-21  wk13    61.0\\n\",\n       \"4124   2000  3 Doors Down  Loser  4:24   2000-10-21  wk14    66.0\\n\",\n       \"4441   2000  3 Doors Down  Loser  4:24   2000-10-21  wk15    72.0\\n\",\n       \"4758   2000  3 Doors Down  Loser  4:24   2000-10-21  wk16    76.0\\n\",\n       \"5075   2000  3 Doors Down  Loser  4:24   2000-10-21  wk17    75.0\\n\",\n       \"5392   2000  3 Doors Down  Loser  4:24   2000-10-21  wk18    67.0\\n\",\n       \"5709   2000  3 Doors Down  Loser  4:24   2000-10-21  wk19    73.0\\n\",\n       \"6026   2000  3 Doors Down  Loser  4:24   2000-10-21  wk20    70.0\\n\",\n       \"6343   2000  3 Doors Down  Loser  4:24   2000-10-21  wk21     NaN\\n\",\n       \"6660   2000  3 Doors Down  Loser  4:24   2000-10-21  wk22     NaN\\n\",\n       \"6977   2000  3 Doors Down  Loser  4:24   2000-10-21  wk23     NaN\\n\",\n       \"7294   2000  3 Doors Down  Loser  4:24   2000-10-21  wk24     NaN\\n\",\n       \"7611   2000  3 Doors Down  Loser  4:24   2000-10-21  wk25     NaN\\n\",\n       \"7928   2000  3 Doors Down  Loser  4:24   2000-10-21  wk26     NaN\\n\",\n       \"8245   2000  3 Doors Down  Loser  4:24   2000-10-21  wk27     NaN\\n\",\n       \"8562   2000  3 Doors Down  Loser  4:24   2000-10-21  wk28     NaN\\n\",\n       \"8879   2000  3 Doors Down  Loser  4:24   2000-10-21  wk29     NaN\\n\",\n       \"9196   2000  3 Doors Down  Loser  4:24   2000-10-21  wk30     NaN\\n\",\n       \"...     ...           ...    ...   ...          ...   ...     ...\\n\",\n       \"14585  2000  3 Doors Down  Loser  4:24   2000-10-21  wk47     NaN\\n\",\n       \"14902  2000  3 Doors Down  Loser  4:24   2000-10-21  wk48     NaN\\n\",\n       \"15219  2000  3 Doors Down  Loser  4:24   2000-10-21  wk49     NaN\\n\",\n       \"15536  2000  3 Doors Down  Loser  4:24   2000-10-21  wk50     NaN\\n\",\n       \"15853  2000  3 Doors Down  Loser  4:24   2000-10-21  wk51     NaN\\n\",\n       \"16170  2000  3 Doors Down  Loser  4:24   2000-10-21  wk52     NaN\\n\",\n       \"16487  2000  3 Doors Down  Loser  4:24   2000-10-21  wk53     NaN\\n\",\n       \"16804  2000  3 Doors Down  Loser  4:24   2000-10-21  wk54     NaN\\n\",\n       \"17121  2000  3 Doors Down  Loser  4:24   2000-10-21  wk55     NaN\\n\",\n       \"17438  2000  3 Doors Down  Loser  4:24   2000-10-21  wk56     NaN\\n\",\n       \"17755  2000  3 Doors Down  Loser  4:24   2000-10-21  wk57     NaN\\n\",\n       \"18072  2000  3 Doors Down  Loser  4:24   2000-10-21  wk58     NaN\\n\",\n       \"18389  2000  3 Doors Down  Loser  4:24   2000-10-21  wk59     NaN\\n\",\n       \"18706  2000  3 Doors Down  Loser  4:24   2000-10-21  wk60     NaN\\n\",\n       \"19023  2000  3 Doors Down  Loser  4:24   2000-10-21  wk61     NaN\\n\",\n       \"19340  2000  3 Doors Down  Loser  4:24   2000-10-21  wk62     NaN\\n\",\n       \"19657  2000  3 Doors Down  Loser  4:24   2000-10-21  wk63     NaN\\n\",\n       \"19974  2000  3 Doors Down  Loser  4:24   2000-10-21  wk64     NaN\\n\",\n       \"20291  2000  3 Doors Down  Loser  4:24   2000-10-21  wk65     NaN\\n\",\n       \"20608  2000  3 Doors Down  Loser  4:24   2000-10-21  wk66     NaN\\n\",\n       \"20925  2000  3 Doors Down  Loser  4:24   2000-10-21  wk67     NaN\\n\",\n       \"21242  2000  3 Doors Down  Loser  4:24   2000-10-21  wk68     NaN\\n\",\n       \"21559  2000  3 Doors Down  Loser  4:24   2000-10-21  wk69     NaN\\n\",\n       \"21876  2000  3 Doors Down  Loser  4:24   2000-10-21  wk70     NaN\\n\",\n       \"22193  2000  3 Doors Down  Loser  4:24   2000-10-21  wk71     NaN\\n\",\n       \"22510  2000  3 Doors Down  Loser  4:24   2000-10-21  wk72     NaN\\n\",\n       \"22827  2000  3 Doors Down  Loser  4:24   2000-10-21  wk73     NaN\\n\",\n       \"23144  2000  3 Doors Down  Loser  4:24   2000-10-21  wk74     NaN\\n\",\n       \"23461  2000  3 Doors Down  Loser  4:24   2000-10-21  wk75     NaN\\n\",\n       \"23778  2000  3 Doors Down  Loser  4:24   2000-10-21  wk76     NaN\\n\",\n       \"\\n\",\n       \"[76 rows x 7 columns]\"\n      ]\n     },\n     \"execution_count\": 71,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_long[billboard_long['track'] == 'Loser']\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 72,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:17.770071Z\",\n     \"start_time\": \"2018-11-16T13:44:17.763206Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"billboard_songs = billboard_long[['year', 'artist', 'track', 'time']]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 73,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:18.003037Z\",\n     \"start_time\": \"2018-11-16T13:44:17.984596Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>artist</th>\\n\",\n       \"      <th>track</th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2Ge+her</td>\\n\",\n       \"      <td>The Hardest Part Of ...</td>\\n\",\n       \"      <td>3:15</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Kryptonite</td>\\n\",\n       \"      <td>3:53</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>504 Boyz</td>\\n\",\n       \"      <td>Wobble Wobble</td>\\n\",\n       \"      <td>3:35</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   year        artist                    track  time\\n\",\n       \"0  2000         2 Pac  Baby Don't Cry (Keep...  4:22\\n\",\n       \"1  2000       2Ge+her  The Hardest Part Of ...  3:15\\n\",\n       \"2  2000  3 Doors Down               Kryptonite  3:53\\n\",\n       \"3  2000  3 Doors Down                    Loser  4:24\\n\",\n       \"4  2000      504 Boyz            Wobble Wobble  3:35\"\n      ]\n     },\n     \"execution_count\": 73,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_songs.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 74,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:18.575913Z\",\n     \"start_time\": \"2018-11-16T13:44:18.566263Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(24092, 4)\"\n      ]\n     },\n     \"execution_count\": 74,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_songs.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 75,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:18.933300Z\",\n     \"start_time\": \"2018-11-16T13:44:18.914671Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"billboard_songs = billboard_songs.drop_duplicates()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 76,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:19.373030Z\",\n     \"start_time\": \"2018-11-16T13:44:19.365817Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(317, 4)\"\n      ]\n     },\n     \"execution_count\": 76,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_songs.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 77,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:20.725925Z\",\n     \"start_time\": \"2018-11-16T13:44:20.717452Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"range(0, 10)\"\n      ]\n     },\n     \"execution_count\": 77,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"range(10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 78,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:20.986474Z\",\n     \"start_time\": \"2018-11-16T13:44:20.979648Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"317\"\n      ]\n     },\n     \"execution_count\": 78,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_songs.shape[0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 79,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:21.202655Z\",\n     \"start_time\": \"2018-11-16T13:44:21.195989Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"317\"\n      ]\n     },\n     \"execution_count\": 79,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"len(billboard_songs)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 80,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:21.489235Z\",\n     \"start_time\": \"2018-11-16T13:44:21.432285Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"billboard_songs['id'] = range(len(billboard_songs))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 81,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:21.827259Z\",\n     \"start_time\": \"2018-11-16T13:44:21.804539Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>artist</th>\\n\",\n       \"      <th>track</th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>id</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2Ge+her</td>\\n\",\n       \"      <td>The Hardest Part Of ...</td>\\n\",\n       \"      <td>3:15</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Kryptonite</td>\\n\",\n       \"      <td>3:53</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>504 Boyz</td>\\n\",\n       \"      <td>Wobble Wobble</td>\\n\",\n       \"      <td>3:35</td>\\n\",\n       \"      <td>4</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>5</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>98^0</td>\\n\",\n       \"      <td>Give Me Just One Nig...</td>\\n\",\n       \"      <td>3:24</td>\\n\",\n       \"      <td>5</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>6</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>A*Teens</td>\\n\",\n       \"      <td>Dancing Queen</td>\\n\",\n       \"      <td>3:44</td>\\n\",\n       \"      <td>6</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>7</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Aaliyah</td>\\n\",\n       \"      <td>I Don't Wanna</td>\\n\",\n       \"      <td>4:15</td>\\n\",\n       \"      <td>7</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>8</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Aaliyah</td>\\n\",\n       \"      <td>Try Again</td>\\n\",\n       \"      <td>4:03</td>\\n\",\n       \"      <td>8</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>9</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>Adams, Yolanda</td>\\n\",\n       \"      <td>Open My Heart</td>\\n\",\n       \"      <td>5:30</td>\\n\",\n       \"      <td>9</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   year          artist                    track  time  id\\n\",\n       \"0  2000           2 Pac  Baby Don't Cry (Keep...  4:22   0\\n\",\n       \"1  2000         2Ge+her  The Hardest Part Of ...  3:15   1\\n\",\n       \"2  2000    3 Doors Down               Kryptonite  3:53   2\\n\",\n       \"3  2000    3 Doors Down                    Loser  4:24   3\\n\",\n       \"4  2000        504 Boyz            Wobble Wobble  3:35   4\\n\",\n       \"5  2000            98^0  Give Me Just One Nig...  3:24   5\\n\",\n       \"6  2000         A*Teens            Dancing Queen  3:44   6\\n\",\n       \"7  2000         Aaliyah            I Don't Wanna  4:15   7\\n\",\n       \"8  2000         Aaliyah                Try Again  4:03   8\\n\",\n       \"9  2000  Adams, Yolanda            Open My Heart  5:30   9\"\n      ]\n     },\n     \"execution_count\": 81,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_songs.head(10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 82,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:23.169909Z\",\n     \"start_time\": \"2018-11-16T13:44:23.143683Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"billboard_ratings = billboard_long.merge(\\n\",\n    \"    billboard_songs, on=['year', 'artist', 'track', 'time']\\n\",\n    \")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 83,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:23.444332Z\",\n     \"start_time\": \"2018-11-16T13:44:23.418357Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>artist</th>\\n\",\n       \"      <th>track</th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>date.entered</th>\\n\",\n       \"      <th>week</th>\\n\",\n       \"      <th>rating</th>\\n\",\n       \"      <th>id</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk2</td>\\n\",\n       \"      <td>82.0</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk3</td>\\n\",\n       \"      <td>72.0</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk4</td>\\n\",\n       \"      <td>77.0</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk5</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   year artist                    track  time date.entered week  rating  id\\n\",\n       \"0  2000  2 Pac  Baby Don't Cry (Keep...  4:22   2000-02-26  wk1    87.0   0\\n\",\n       \"1  2000  2 Pac  Baby Don't Cry (Keep...  4:22   2000-02-26  wk2    82.0   0\\n\",\n       \"2  2000  2 Pac  Baby Don't Cry (Keep...  4:22   2000-02-26  wk3    72.0   0\\n\",\n       \"3  2000  2 Pac  Baby Don't Cry (Keep...  4:22   2000-02-26  wk4    77.0   0\\n\",\n       \"4  2000  2 Pac  Baby Don't Cry (Keep...  4:22   2000-02-26  wk5    87.0   0\"\n      ]\n     },\n     \"execution_count\": 83,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_ratings.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 84,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:23.836843Z\",\n     \"start_time\": \"2018-11-16T13:44:23.829618Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"billboard_ratings = billboard_ratings[['id', 'date.entered', 'week', 'rating']]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 85,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:44:24.771264Z\",\n     \"start_time\": \"2018-11-16T13:44:24.750021Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>id</th>\\n\",\n       \"      <th>date.entered</th>\\n\",\n       \"      <th>week</th>\\n\",\n       \"      <th>rating</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk2</td>\\n\",\n       \"      <td>82.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk3</td>\\n\",\n       \"      <td>72.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk4</td>\\n\",\n       \"      <td>77.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk5</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   id date.entered week  rating\\n\",\n       \"0   0   2000-02-26  wk1    87.0\\n\",\n       \"1   0   2000-02-26  wk2    82.0\\n\",\n       \"2   0   2000-02-26  wk3    72.0\\n\",\n       \"3   0   2000-02-26  wk4    77.0\\n\",\n       \"4   0   2000-02-26  wk5    87.0\"\n      ]\n     },\n     \"execution_count\": 85,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"billboard_ratings.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 86,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:45:10.715555Z\",\n     \"start_time\": \"2018-11-16T13:45:10.702169Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"billboard_songs.to_csv('billboard_songs.csv', index=False)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 87,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:45:28.936128Z\",\n     \"start_time\": \"2018-11-16T13:45:28.778585Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"billboard_ratings.to_csv('billboard_ratings.csv', index=False)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": []\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.6.6\"\n  },\n  \"varInspector\": {\n   \"cols\": {\n    \"lenName\": 16,\n    \"lenType\": 16,\n    \"lenVar\": 40\n   },\n   \"kernels_config\": {\n    \"python\": {\n     \"delete_cmd_postfix\": \"\",\n     \"delete_cmd_prefix\": \"del \",\n     \"library\": \"var_list.py\",\n     \"varRefreshCmd\": \"print(var_dic_list())\"\n    },\n    \"r\": {\n     \"delete_cmd_postfix\": \") \",\n     \"delete_cmd_prefix\": \"rm(\",\n     \"library\": \"var_list.r\",\n     \"varRefreshCmd\": \"cat(var_dic_list()) \"\n    }\n   },\n   \"types_to_exclude\": [\n    \"module\",\n    \"function\",\n    \"builtin_function_or_method\",\n    \"instance\",\n    \"_Feature\"\n   ],\n   \"window_display\": false\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 2\n}\n"
  },
  {
    "path": "notes/03-merge.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:45:45.232788Z\",\n     \"start_time\": \"2018-11-16T13:45:44.805728Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import pandas as pd\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:45:56.963959Z\",\n     \"start_time\": \"2018-11-16T13:45:56.932334Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ratings = pd.read_csv('billboard_ratings.csv')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:46:03.580670Z\",\n     \"start_time\": \"2018-11-16T13:46:03.572753Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"songs = pd.read_csv('billboard_songs.csv')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:46:07.006644Z\",\n     \"start_time\": \"2018-11-16T13:46:06.973650Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>id</th>\\n\",\n       \"      <th>date.entered</th>\\n\",\n       \"      <th>week</th>\\n\",\n       \"      <th>rating</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk2</td>\\n\",\n       \"      <td>82.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk3</td>\\n\",\n       \"      <td>72.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk4</td>\\n\",\n       \"      <td>77.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk5</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   id date.entered week  rating\\n\",\n       \"0   0   2000-02-26  wk1    87.0\\n\",\n       \"1   0   2000-02-26  wk2    82.0\\n\",\n       \"2   0   2000-02-26  wk3    72.0\\n\",\n       \"3   0   2000-02-26  wk4    77.0\\n\",\n       \"4   0   2000-02-26  wk5    87.0\"\n      ]\n     },\n     \"execution_count\": 4,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ratings.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:46:09.754780Z\",\n     \"start_time\": \"2018-11-16T13:46:09.735526Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>artist</th>\\n\",\n       \"      <th>track</th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>id</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2Ge+her</td>\\n\",\n       \"      <td>The Hardest Part Of ...</td>\\n\",\n       \"      <td>3:15</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Kryptonite</td>\\n\",\n       \"      <td>3:53</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>3 Doors Down</td>\\n\",\n       \"      <td>Loser</td>\\n\",\n       \"      <td>4:24</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>504 Boyz</td>\\n\",\n       \"      <td>Wobble Wobble</td>\\n\",\n       \"      <td>3:35</td>\\n\",\n       \"      <td>4</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   year        artist                    track  time  id\\n\",\n       \"0  2000         2 Pac  Baby Don't Cry (Keep...  4:22   0\\n\",\n       \"1  2000       2Ge+her  The Hardest Part Of ...  3:15   1\\n\",\n       \"2  2000  3 Doors Down               Kryptonite  3:53   2\\n\",\n       \"3  2000  3 Doors Down                    Loser  4:24   3\\n\",\n       \"4  2000      504 Boyz            Wobble Wobble  3:35   4\"\n      ]\n     },\n     \"execution_count\": 5,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"songs.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:46:45.654860Z\",\n     \"start_time\": \"2018-11-16T13:46:45.634019Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"joined = pd.merge(songs, ratings, on='id')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:46:51.133541Z\",\n     \"start_time\": \"2018-11-16T13:46:51.104863Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>year</th>\\n\",\n       \"      <th>artist</th>\\n\",\n       \"      <th>track</th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>id</th>\\n\",\n       \"      <th>date.entered</th>\\n\",\n       \"      <th>week</th>\\n\",\n       \"      <th>rating</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk1</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk2</td>\\n\",\n       \"      <td>82.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk3</td>\\n\",\n       \"      <td>72.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk4</td>\\n\",\n       \"      <td>77.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>2000</td>\\n\",\n       \"      <td>2 Pac</td>\\n\",\n       \"      <td>Baby Don't Cry (Keep...</td>\\n\",\n       \"      <td>4:22</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>2000-02-26</td>\\n\",\n       \"      <td>wk5</td>\\n\",\n       \"      <td>87.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   year artist                    track  time  id date.entered week  rating\\n\",\n       \"0  2000  2 Pac  Baby Don't Cry (Keep...  4:22   0   2000-02-26  wk1    87.0\\n\",\n       \"1  2000  2 Pac  Baby Don't Cry (Keep...  4:22   0   2000-02-26  wk2    82.0\\n\",\n       \"2  2000  2 Pac  Baby Don't Cry (Keep...  4:22   0   2000-02-26  wk3    72.0\\n\",\n       \"3  2000  2 Pac  Baby Don't Cry (Keep...  4:22   0   2000-02-26  wk4    77.0\\n\",\n       \"4  2000  2 Pac  Baby Don't Cry (Keep...  4:22   0   2000-02-26  wk5    87.0\"\n      ]\n     },\n     \"execution_count\": 8,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"joined.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:47:32.116962Z\",\n     \"start_time\": \"2018-11-16T13:47:32.112672Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"317\"\n      ]\n     },\n     \"execution_count\": 9,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"len(songs)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:47:37.924062Z\",\n     \"start_time\": \"2018-11-16T13:47:37.918419Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"24092\"\n      ]\n     },\n     \"execution_count\": 10,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"len(ratings)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:47:41.749897Z\",\n     \"start_time\": \"2018-11-16T13:47:41.744239Z\"\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"24092\"\n      ]\n     },\n     \"execution_count\": 11,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"len(joined)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"ExecuteTime\": {\n     \"end_time\": \"2018-11-16T13:47:58.842851Z\",\n     \"start_time\": \"2018-11-16T13:47:58.838896Z\"\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"assert len(joined) == max(len(songs), len(ratings))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": []\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.6.6\"\n  },\n  \"varInspector\": {\n   \"cols\": {\n    \"lenName\": 16,\n    \"lenType\": 16,\n    \"lenVar\": 40\n   },\n   \"kernels_config\": {\n    \"python\": {\n     \"delete_cmd_postfix\": \"\",\n     \"delete_cmd_prefix\": \"del \",\n     \"library\": \"var_list.py\",\n     \"varRefreshCmd\": \"print(var_dic_list())\"\n    },\n    \"r\": {\n     \"delete_cmd_postfix\": \") \",\n     \"delete_cmd_prefix\": \"rm(\",\n     \"library\": \"var_list.r\",\n     \"varRefreshCmd\": \"cat(var_dic_list()) \"\n    }\n   },\n   \"types_to_exclude\": [\n    \"module\",\n    \"function\",\n    \"builtin_function_or_method\",\n    \"instance\",\n    \"_Feature\"\n   ],\n   \"window_display\": false\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 2\n}\n"
  }
]