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Repository: cmparlettpelleriti/CPSC392ParlettPelleriti
Branch: master
Commit: 66ff45cfd8e7
Files: 176
Total size: 202.7 MB
Directory structure:
gitextract_lg8wj3x5/
├── Admin/
│ ├── READMEexample.md
│ └── Rough Class Schedule.md
├── Classwork/
│ ├── 01_AllTheStuffYouNeedToKnowPython.ipynb
│ ├── 02_DebuggingBasics.ipynb
│ ├── 02_PythonReview.ipynb
│ ├── 03_AllTheStuffYouNeedToKnowMath.ipynb
│ ├── 04_VisualizationI.ipynb
│ ├── 05_VisualizationII.ipynb
│ ├── 06_LinearRegressionI.ipynb
│ ├── 07_LinearRegressionII.ipynb
│ ├── 08_LinearRegressionIII_BiasVarianceTradeoff.ipynb
│ ├── 09_LogisticRegressionI.ipynb
│ ├── 10_LogisticRegressionII.ipynb
│ ├── 11_TreeBasedModels.ipynb
│ ├── 14_KNNAndNaiveBayes.ipynb
│ ├── 15_Ethics.ipynb
│ ├── 16_KMeans.ipynb
│ ├── 17_GaussianMixtureModels.ipynb
│ ├── 18_DBSCAN.ipynb
│ ├── 19_HierarchicalClustering.ipynb
│ ├── 20_PCA.ipynb
│ └── 24_NeuralNetworks.ipynb
├── Data/
│ ├── 06_lin.csv
│ ├── 06_nonlin.csv
│ ├── 07_cw.csv
│ ├── Beyonce_data.csv
│ ├── BreastCancer.csv
│ ├── CCfraud.csv
│ ├── EmailFromChelsea.csv
│ ├── GMM_Classwork_01.csv
│ ├── GMM_Classwork_02.csv
│ ├── GMM_Classwork_03.csv
│ ├── GMM_Classwork_04.csv
│ ├── GradAdmissions.csv
│ ├── HAC1.csv
│ ├── HW2.csv
│ ├── HW3.csv
│ ├── HW3_behavioral.csv
│ ├── HW3_topics.csv
│ ├── HW4_1.csv
│ ├── HomeOwnership.csv
│ ├── HomeOwnership2.csv
│ ├── HufflePuff.csv
│ ├── HufflePuffTEXT.csv
│ ├── HufflePuffTEXT2.csv
│ ├── IPODataFull.csv
│ ├── KMEM1.csv
│ ├── KMEM2.csv
│ ├── KMEM3.csv
│ ├── KMEM4.csv
│ ├── KMEM5.csv
│ ├── KMEM6.csv
│ ├── KNNCompareSpotify.csv
│ ├── KrispyKreme.csv
│ ├── LeagueofLegends.csv
│ ├── Lizzo_data.csv
│ ├── McMenu.csv
│ ├── MushroomData.ipynb
│ ├── Music_data.csv
│ ├── NN.csv
│ ├── NN_test.csv
│ ├── PalmerPenguinDataDownload.ipynb
│ ├── Pokemon.csv
│ ├── PopDivas_data.csv
│ ├── Proj1.csv
│ ├── SKP_fashion.csv
│ ├── SKP_fashionBIG.csv
│ ├── SKP_fashionNEW.csv
│ ├── TaylorSwiftSpotify.csv
│ ├── X_cols_df.csv
│ ├── X_cols_df2.csv
│ ├── YouTubeKidsVideo.csv
│ ├── airport-screening.txt
│ ├── all_players.csv
│ ├── amazon-books.txt
│ ├── avocado.csv
│ ├── bis-bas-bart-syn-clean.csv
│ ├── bis-bas-bart-syn-future.csv
│ ├── boutique.csv
│ ├── burger-king-items.txt
│ ├── burgersOrPizza.csv
│ ├── buyDress.csv
│ ├── candy-bars.txt
│ ├── catowner.csv
│ ├── cereal.csv
│ ├── debugging.csv
│ ├── diabetes2.csv
│ ├── fastfood_calories.csv
│ ├── fellAsleep.csv
│ ├── gpa.csv
│ ├── heart.csv
│ ├── heart_failure_clinical_records_dataset.csv
│ ├── hearthstone_data.csv
│ ├── heightWeight.csv
│ ├── heightWeightBIG.csv
│ ├── iris.csv
│ ├── jobSuccess.csv
│ ├── kc_house_data.csv
│ ├── knnclasswork.csv
│ ├── knnclasswork2.csv
│ ├── made_purchase.csv
│ ├── makeup.csv
│ ├── office.csv
│ ├── office_long.csv
│ ├── pca0.csv
│ ├── pca10.csv
│ ├── pca11.csv
│ ├── pca12.csv
│ ├── pca5.csv
│ ├── pca9.csv
│ ├── pcaLogit.csv
│ ├── penguins.csv
│ ├── players_15.csv
│ ├── prideAndPrejudice.txt
│ ├── programmers.csv
│ ├── programmers2.csv
│ ├── programmers3.csv
│ ├── purchase.csv
│ ├── ramen-ratings.csv
│ ├── reactionTime.csv
│ ├── regX1.csv
│ ├── regX2.csv
│ ├── regX3.csv
│ ├── regX4.csv
│ ├── related.csv
│ ├── spam.csv
│ ├── spotifypandas.csv
│ ├── streaming.csv
│ ├── streamingFILMS.csv
│ ├── streamingNEW.csv
│ ├── telecom_churn.csv
│ ├── testNB.csv
│ ├── testperform.csv
│ ├── testperform_long.csv
│ ├── tests_and_grades.csv
│ ├── unrelated.csv
│ ├── wineLARGE.csv
│ ├── winequality-red.csv
│ ├── y_df.csv
│ ├── y_df2.csv
│ └── zillow_2016.csv
├── Extras/
│ ├── AltTextActivity.ipynb
│ ├── AssumptionChecksWithModelVal.ipynb
│ ├── BarChart-Reorder.ipynb
│ ├── DoZScoresAffectLinearRegressionPerformance?.ipynb
│ ├── DownloadingAsPDF.md
│ ├── Downloads.ipynb
│ ├── EigenFacesCodeCLASS.ipynb
│ ├── EquivalenceOfHarshnessTerms.ipynb
│ ├── ExtraneousCWCode/
│ │ └── validationcomplexitysim.py
│ ├── GMMMath.ipynb
│ ├── GradientDescent.html
│ ├── LectureLinks/
│ │ └── KMeansandGMMApplicationLinks.ipynb
│ ├── RVersions/
│ │ ├── Linear_Ridge_LASSO.ipynb
│ │ ├── MethodsOfModelValidation.ipynb
│ │ └── PrincipalComponentAnalysis.ipynb
│ ├── SeabornVizVersions/
│ │ ├── Visualization I--Class 4_seaborn.ipynb
│ │ └── Visualization II--Class 5_seaborn.ipynb
│ ├── ShinyHangman.ipynb
│ ├── SquidGameGlassBridge.ipynb
│ ├── Test.qmd
│ └── get_dummies.ipynb
├── FinalProject/
│ └── FinalProjectTemplate.qmd
├── Homework/
│ ├── HW1_SP24.ipynb
│ ├── HW2_SP24.ipynb
│ ├── HW3_FA23.ipynb
│ └── MissedQuizMakeupAssignment.ipynb
├── Lectures/
│ └── LectureNotebooks/
│ ├── 01_AllTheStuffYouNeedToKnowPython.ipynb
│ ├── 01_AllTheStuffYouNeedToKnowPython_BLANK.ipynb
│ ├── 02_DebuggingBasics.ipynb
│ ├── 04_VisualizationI.ipynb
│ ├── 04_VisualizationI_BLANK.ipynb
│ ├── 05_VisualizationII.ipynb
│ └── 05_VisualizationII_BLANK.ipynb
├── README.md
└── Syllabus.md
================================================
FILE CONTENTS
================================================
================================================
FILE: Admin/READMEexample.md
================================================
### Personal Info
<ul>
<li>a. Full name</li>
<li>b. Student ID</li>
<li>c. Chapman email</li>
<li>d. Course number and section</li>
<li>e. Assignment or exercise number</li>
</ul>
### A description of any known compile or runtime errors, code limitations, or deviations from the assignment specification (if applicable)
### A list of all references used to complete the assignment, including peers (if applicable)
================================================
FILE: Admin/Rough Class Schedule.md
================================================
# Class Schedule MAY change
| **Section** | **Week** | **Class** | **Topic** | **Notes** |
|------------------------|----------|-----------|------------------------------------------------|----------------------------------------------|
| *Admin and Review* | 1 | 0 | Intro | |
| *Admin and Review* | 1 | 1 | All the Stuff You Need To Know (Python) | Quiz |
| *Admin and Review* | 2 | 2 | Math with Numpy, Pandas | |
| *Admin and Review* | 2 | 3 | All the Stuff You Need To Know (Math) | Quiz |
| *Admin and Review* | 3 | 4 | Data Visualization I | |
| *Admin and Review* | 3 | 5 | Data Visualization II | Quiz |
| *Supervised ML* | 4 | 6 | Linear Regression I | |
| *Supervised ML* | 4 | 7 | Linear Regression II | Quiz |
| *Supervised ML* | 5 | 8 | Linear Regression III (Bias-Variance Tradeoff) | Intro HW1 |
| *Supervised ML* | 5 | 9 | Logistic Regression I | Quiz |
| *Supervised ML* | 6 | 10 | Logistic Regression II | |
| *Supervised ML* | 6 | 11 | Tree-Based Models | Quiz |
| | 7 | 12 | Review | |
| | 7 | 13 | Exam I | Exam |
| | | | **Spring Break** | |
| *Supervised ML* | 8 | 14 | K-Nearest Neighors and Naive Bayes | Intro HW2 |
| *Misc ML* | 8 | 15 | Data Science Ethics | Quiz (will include ethics videos) |
| *Unsupervised ML* | 9 | 16 | K-Means | |
| *Unsupervised ML* | 9 | 17 | Gaussian Mixture Models | Quiz |
| *Unsupervised ML* | 10 | 18 | DBSCAN | |
| *Unsupervised ML* | 10 | 19 | Hierarchical | Quiz |
| *Unsupervised ML* | 11 | 20 | Principal Component Analysis | Finding Dataset for Final Project; Intro HW3 |
| *Misc ML* | 11 | 21 | Topics in Data Science I* | Quiz |
| | 12 | 22 | Review | |
| | 12 | 23 | Exam II | Exam |
| *Misc ML* | 13 | 24 | Neural Networks | |
| *Misc ML* | 13 | 25 | Topics in Data Science II* | Quiz; Course Evals |
| | 14 | 26 | Review + Project | |
| *Misc ML* | 14 | 27 | Topics in Data Science III* | Quiz |
================================================
FILE: Classwork/01_AllTheStuffYouNeedToKnowPython.ipynb
================================================
{
"cells": [
{
"cell_type": "markdown",
"source": [
"# Review\n",
"Pandas is a package in Python that allows us to work with the `DataFrame` data structure.\n",
"\n",
"It comes with multiple methods and functions that allow us to explore and analyze data frames.\n",
"\n"
],
"metadata": {
"id": "YqtBeX20zoMM"
}
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"id": "wT5VI9J8znVP"
},
"outputs": [],
"source": [
"# import necessary packages here\n",
"import warnings\n",
"warnings.filterwarnings('ignore')\n",
"\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"source": [
"# load in data from Google Drive\n",
"from google.colab import drive\n",
"drive.mount('/content/drive/')"
],
"metadata": {
"id": "JOS9HqVu0byi",
"outputId": "05aad8c5-1248-4ad9-8f38-d47ca52dfa7c",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Mounted at /content/drive/\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# load World Happiness Report\n",
"world_happiness = pd.read_csv(\"/content/drive/MyDrive/2015.csv\")"
],
"metadata": {
"id": "U8_AuRe21Crl"
},
"execution_count": 3,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# grap first 10 rows\n",
"world_happiness.head(10)"
],
"metadata": {
"id": "NfEjYTRW1TBT",
"outputId": "da8a9cd5-d528-42ec-e6db-8f6c26034c7f",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 678
}
},
"execution_count": 4,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Country Region Happiness Rank Happiness Score \\\n",
"0 Switzerland Western Europe 1 7.587 \n",
"1 Iceland Western Europe 2 7.561 \n",
"2 Denmark Western Europe 3 7.527 \n",
"3 Norway Western Europe 4 7.522 \n",
"4 Canada North America 5 7.427 \n",
"5 Finland Western Europe 6 7.406 \n",
"6 Netherlands Western Europe 7 7.378 \n",
"7 Sweden Western Europe 8 7.364 \n",
"8 New Zealand Australia and New Zealand 9 7.286 \n",
"9 Australia Australia and New Zealand 10 7.284 \n",
"\n",
" Standard Error Economy (GDP per Capita) Family \\\n",
"0 0.03411 1.39651 1.34951 \n",
"1 0.04884 1.30232 1.40223 \n",
"2 0.03328 1.32548 1.36058 \n",
"3 0.03880 1.45900 1.33095 \n",
"4 0.03553 1.32629 1.32261 \n",
"5 0.03140 1.29025 1.31826 \n",
"6 0.02799 1.32944 1.28017 \n",
"7 0.03157 1.33171 1.28907 \n",
"8 0.03371 1.25018 1.31967 \n",
"9 0.04083 1.33358 1.30923 \n",
"\n",
" Health (Life Expectancy) Freedom Trust (Government Corruption) \\\n",
"0 0.94143 0.66557 0.41978 \n",
"1 0.94784 0.62877 0.14145 \n",
"2 0.87464 0.64938 0.48357 \n",
"3 0.88521 0.66973 0.36503 \n",
"4 0.90563 0.63297 0.32957 \n",
"5 0.88911 0.64169 0.41372 \n",
"6 0.89284 0.61576 0.31814 \n",
"7 0.91087 0.65980 0.43844 \n",
"8 0.90837 0.63938 0.42922 \n",
"9 0.93156 0.65124 0.35637 \n",
"\n",
" Generosity Dystopia Residual \n",
"0 0.29678 2.51738 \n",
"1 0.43630 2.70201 \n",
"2 0.34139 2.49204 \n",
"3 0.34699 2.46531 \n",
"4 0.45811 2.45176 \n",
"5 0.23351 2.61955 \n",
"6 0.47610 2.46570 \n",
"7 0.36262 2.37119 \n",
"8 0.47501 2.26425 \n",
"9 0.43562 2.26646 "
],
"text/html": [
"\n",
" <div id=\"df-2663b045-a2f0-4eba-9bde-294595ac74d6\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Country</th>\n",
" <th>Region</th>\n",
" <th>Happiness Rank</th>\n",
" <th>Happiness Score</th>\n",
" <th>Standard Error</th>\n",
" <th>Economy (GDP per Capita)</th>\n",
" <th>Family</th>\n",
" <th>Health (Life Expectancy)</th>\n",
" <th>Freedom</th>\n",
" <th>Trust (Government Corruption)</th>\n",
" <th>Generosity</th>\n",
" <th>Dystopia Residual</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Switzerland</td>\n",
" <td>Western Europe</td>\n",
" <td>1</td>\n",
" <td>7.587</td>\n",
" <td>0.03411</td>\n",
" <td>1.39651</td>\n",
" <td>1.34951</td>\n",
" <td>0.94143</td>\n",
" <td>0.66557</td>\n",
" <td>0.41978</td>\n",
" <td>0.29678</td>\n",
" <td>2.51738</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Iceland</td>\n",
" <td>Western Europe</td>\n",
" <td>2</td>\n",
" <td>7.561</td>\n",
" <td>0.04884</td>\n",
" <td>1.30232</td>\n",
" <td>1.40223</td>\n",
" <td>0.94784</td>\n",
" <td>0.62877</td>\n",
" <td>0.14145</td>\n",
" <td>0.43630</td>\n",
" <td>2.70201</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Denmark</td>\n",
" <td>Western Europe</td>\n",
" <td>3</td>\n",
" <td>7.527</td>\n",
" <td>0.03328</td>\n",
" <td>1.32548</td>\n",
" <td>1.36058</td>\n",
" <td>0.87464</td>\n",
" <td>0.64938</td>\n",
" <td>0.48357</td>\n",
" <td>0.34139</td>\n",
" <td>2.49204</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Norway</td>\n",
" <td>Western Europe</td>\n",
" <td>4</td>\n",
" <td>7.522</td>\n",
" <td>0.03880</td>\n",
" <td>1.45900</td>\n",
" <td>1.33095</td>\n",
" <td>0.88521</td>\n",
" <td>0.66973</td>\n",
" <td>0.36503</td>\n",
" <td>0.34699</td>\n",
" <td>2.46531</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Canada</td>\n",
" <td>North America</td>\n",
" <td>5</td>\n",
" <td>7.427</td>\n",
" <td>0.03553</td>\n",
" <td>1.32629</td>\n",
" <td>1.32261</td>\n",
" <td>0.90563</td>\n",
" <td>0.63297</td>\n",
" <td>0.32957</td>\n",
" <td>0.45811</td>\n",
" <td>2.45176</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>Finland</td>\n",
" <td>Western Europe</td>\n",
" <td>6</td>\n",
" <td>7.406</td>\n",
" <td>0.03140</td>\n",
" <td>1.29025</td>\n",
" <td>1.31826</td>\n",
" <td>0.88911</td>\n",
" <td>0.64169</td>\n",
" <td>0.41372</td>\n",
" <td>0.23351</td>\n",
" <td>2.61955</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Netherlands</td>\n",
" <td>Western Europe</td>\n",
" <td>7</td>\n",
" <td>7.378</td>\n",
" <td>0.02799</td>\n",
" <td>1.32944</td>\n",
" <td>1.28017</td>\n",
" <td>0.89284</td>\n",
" <td>0.61576</td>\n",
" <td>0.31814</td>\n",
" <td>0.47610</td>\n",
" <td>2.46570</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>Sweden</td>\n",
" <td>Western Europe</td>\n",
" <td>8</td>\n",
" <td>7.364</td>\n",
" <td>0.03157</td>\n",
" <td>1.33171</td>\n",
" <td>1.28907</td>\n",
" <td>0.91087</td>\n",
" <td>0.65980</td>\n",
" <td>0.43844</td>\n",
" <td>0.36262</td>\n",
" <td>2.37119</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>New Zealand</td>\n",
" <td>Australia and New Zealand</td>\n",
" <td>9</td>\n",
" <td>7.286</td>\n",
" <td>0.03371</td>\n",
" <td>1.25018</td>\n",
" <td>1.31967</td>\n",
" <td>0.90837</td>\n",
" <td>0.63938</td>\n",
" <td>0.42922</td>\n",
" <td>0.47501</td>\n",
" <td>2.26425</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>Australia</td>\n",
" <td>Australia and New Zealand</td>\n",
" <td>10</td>\n",
" <td>7.284</td>\n",
" <td>0.04083</td>\n",
" <td>1.33358</td>\n",
" <td>1.30923</td>\n",
" <td>0.93156</td>\n",
" <td>0.65124</td>\n",
" <td>0.35637</td>\n",
" <td>0.43562</td>\n",
" <td>2.26646</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
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" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-2663b045-a2f0-4eba-9bde-294595ac74d6 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-2663b045-a2f0-4eba-9bde-294595ac74d6');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-151e486d-b8dc-4038-a90e-b65c89be2a9f\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-151e486d-b8dc-4038-a90e-b65c89be2a9f')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-151e486d-b8dc-4038-a90e-b65c89be2a9f button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
"\n",
" </div>\n",
" </div>\n"
]
},
"metadata": {},
"execution_count": 4
}
]
},
{
"cell_type": "code",
"source": [
"# column info\n",
"world_happiness.info()"
],
"metadata": {
"id": "AyI0YcJ41Yql",
"outputId": "eeb3dfae-75af-4c32-9437-ee8f4daf4ce4",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 158 entries, 0 to 157\n",
"Data columns (total 12 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 Country 158 non-null object \n",
" 1 Region 158 non-null object \n",
" 2 Happiness Rank 158 non-null int64 \n",
" 3 Happiness Score 158 non-null float64\n",
" 4 Standard Error 158 non-null float64\n",
" 5 Economy (GDP per Capita) 158 non-null float64\n",
" 6 Family 158 non-null float64\n",
" 7 Health (Life Expectancy) 158 non-null float64\n",
" 8 Freedom 158 non-null float64\n",
" 9 Trust (Government Corruption) 158 non-null float64\n",
" 10 Generosity 158 non-null float64\n",
" 11 Dystopia Residual 158 non-null float64\n",
"dtypes: float64(9), int64(1), object(2)\n",
"memory usage: 14.9+ KB\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# summary of continuous variables\n",
"world_happiness.describe()"
],
"metadata": {
"id": "nqyJzgwq1hOn",
"outputId": "daa49a41-a629-4515-da38-32443b2f2435",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 355
}
},
"execution_count": 8,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Happiness Rank Happiness Score Standard Error \\\n",
"count 158.000000 158.000000 158.000000 \n",
"mean 79.493671 5.375734 0.047885 \n",
"std 45.754363 1.145010 0.017146 \n",
"min 1.000000 2.839000 0.018480 \n",
"25% 40.250000 4.526000 0.037268 \n",
"50% 79.500000 5.232500 0.043940 \n",
"75% 118.750000 6.243750 0.052300 \n",
"max 158.000000 7.587000 0.136930 \n",
"\n",
" Economy (GDP per Capita) Family Health (Life Expectancy) \\\n",
"count 158.000000 158.000000 158.000000 \n",
"mean 0.846137 0.991046 0.630259 \n",
"std 0.403121 0.272369 0.247078 \n",
"min 0.000000 0.000000 0.000000 \n",
"25% 0.545808 0.856823 0.439185 \n",
"50% 0.910245 1.029510 0.696705 \n",
"75% 1.158448 1.214405 0.811013 \n",
"max 1.690420 1.402230 1.025250 \n",
"\n",
" Freedom Trust (Government Corruption) Generosity \\\n",
"count 158.000000 158.000000 158.000000 \n",
"mean 0.428615 0.143422 0.237296 \n",
"std 0.150693 0.120034 0.126685 \n",
"min 0.000000 0.000000 0.000000 \n",
"25% 0.328330 0.061675 0.150553 \n",
"50% 0.435515 0.107220 0.216130 \n",
"75% 0.549092 0.180255 0.309883 \n",
"max 0.669730 0.551910 0.795880 \n",
"\n",
" Dystopia Residual \n",
"count 158.000000 \n",
"mean 2.098977 \n",
"std 0.553550 \n",
"min 0.328580 \n",
"25% 1.759410 \n",
"50% 2.095415 \n",
"75% 2.462415 \n",
"max 3.602140 "
],
"text/html": [
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Happiness Rank</th>\n",
" <th>Happiness Score</th>\n",
" <th>Standard Error</th>\n",
" <th>Economy (GDP per Capita)</th>\n",
" <th>Family</th>\n",
" <th>Health (Life Expectancy)</th>\n",
" <th>Freedom</th>\n",
" <th>Trust (Government Corruption)</th>\n",
" <th>Generosity</th>\n",
" <th>Dystopia Residual</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>158.000000</td>\n",
" <td>158.000000</td>\n",
" <td>158.000000</td>\n",
" <td>158.000000</td>\n",
" <td>158.000000</td>\n",
" <td>158.000000</td>\n",
" <td>158.000000</td>\n",
" <td>158.000000</td>\n",
" <td>158.000000</td>\n",
" <td>158.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>79.493671</td>\n",
" <td>5.375734</td>\n",
" <td>0.047885</td>\n",
" <td>0.846137</td>\n",
" <td>0.991046</td>\n",
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" <td>0.428615</td>\n",
" <td>0.143422</td>\n",
" <td>0.237296</td>\n",
" <td>2.098977</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>45.754363</td>\n",
" <td>1.145010</td>\n",
" <td>0.017146</td>\n",
" <td>0.403121</td>\n",
" <td>0.272369</td>\n",
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" <td>0.553550</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>1.000000</td>\n",
" <td>2.839000</td>\n",
" <td>0.018480</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.328580</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>40.250000</td>\n",
" <td>4.526000</td>\n",
" <td>0.037268</td>\n",
" <td>0.545808</td>\n",
" <td>0.856823</td>\n",
" <td>0.439185</td>\n",
" <td>0.328330</td>\n",
" <td>0.061675</td>\n",
" <td>0.150553</td>\n",
" <td>1.759410</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>79.500000</td>\n",
" <td>5.232500</td>\n",
" <td>0.043940</td>\n",
" <td>0.910245</td>\n",
" <td>1.029510</td>\n",
" <td>0.696705</td>\n",
" <td>0.435515</td>\n",
" <td>0.107220</td>\n",
" <td>0.216130</td>\n",
" <td>2.095415</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>118.750000</td>\n",
" <td>6.243750</td>\n",
" <td>0.052300</td>\n",
" <td>1.158448</td>\n",
" <td>1.214405</td>\n",
" <td>0.811013</td>\n",
" <td>0.549092</td>\n",
" <td>0.180255</td>\n",
" <td>0.309883</td>\n",
" <td>2.462415</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>158.000000</td>\n",
" <td>7.587000</td>\n",
" <td>0.136930</td>\n",
" <td>1.690420</td>\n",
" <td>1.402230</td>\n",
" <td>1.025250</td>\n",
" <td>0.669730</td>\n",
" <td>0.551910</td>\n",
" <td>0.795880</td>\n",
" <td>3.602140</td>\n",
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" element.innerHTML = '';\n",
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"metadata": {},
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},
{
"cell_type": "code",
"source": [
"# print out column names\n",
"world_happiness.columns"
],
"metadata": {
"id": "7XRavUcv1lim",
"outputId": "48372b0c-7427-40c5-e8c9-4116bfdfb2bf",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": 9,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Index(['Country', 'Region', 'Happiness Rank', 'Happiness Score',\n",
" 'Standard Error', 'Economy (GDP per Capita)', 'Family',\n",
" 'Health (Life Expectancy)', 'Freedom', 'Trust (Government Corruption)',\n",
" 'Generosity', 'Dystopia Residual'],\n",
" dtype='object')"
]
},
"metadata": {},
"execution_count": 9
}
]
},
{
"cell_type": "code",
"source": [
"# get 10 countries with higest happiness rank\n",
"world_happiness.groupby(\"Country\").mean().nlargest(10, \"Happiness Rank\")"
],
"metadata": {
"id": "F2HEkt4a1r8R",
"outputId": "be806e81-dd5d-446d-b46e-4442767f3310",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 484
}
},
"execution_count": 13,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Happiness Rank Happiness Score Standard Error \\\n",
"Country \n",
"Togo 158.0 2.839 0.06727 \n",
"Burundi 157.0 2.905 0.08658 \n",
"Syria 156.0 3.006 0.05015 \n",
"Benin 155.0 3.340 0.03656 \n",
"Rwanda 154.0 3.465 0.03464 \n",
"Afghanistan 153.0 3.575 0.03084 \n",
"Burkina Faso 152.0 3.587 0.04324 \n",
"Ivory Coast 151.0 3.655 0.05141 \n",
"Guinea 150.0 3.656 0.03590 \n",
"Chad 149.0 3.667 0.03830 \n",
"\n",
" Economy (GDP per Capita) Family Health (Life Expectancy) \\\n",
"Country \n",
"Togo 0.20868 0.13995 0.28443 \n",
"Burundi 0.01530 0.41587 0.22396 \n",
"Syria 0.66320 0.47489 0.72193 \n",
"Benin 0.28665 0.35386 0.31910 \n",
"Rwanda 0.22208 0.77370 0.42864 \n",
"Afghanistan 0.31982 0.30285 0.30335 \n",
"Burkina Faso 0.25812 0.85188 0.27125 \n",
"Ivory Coast 0.46534 0.77115 0.15185 \n",
"Guinea 0.17417 0.46475 0.24009 \n",
"Chad 0.34193 0.76062 0.15010 \n",
"\n",
" Freedom Trust (Government Corruption) Generosity \\\n",
"Country \n",
"Togo 0.36453 0.10731 0.16681 \n",
"Burundi 0.11850 0.10062 0.19727 \n",
"Syria 0.15684 0.18906 0.47179 \n",
"Benin 0.48450 0.08010 0.18260 \n",
"Rwanda 0.59201 0.55191 0.22628 \n",
"Afghanistan 0.23414 0.09719 0.36510 \n",
"Burkina Faso 0.39493 0.12832 0.21747 \n",
"Ivory Coast 0.46866 0.17922 0.20165 \n",
"Guinea 0.37725 0.12139 0.28657 \n",
"Chad 0.23501 0.05269 0.18386 \n",
"\n",
" Dystopia Residual \n",
"Country \n",
"Togo 1.56726 \n",
"Burundi 1.83302 \n",
"Syria 0.32858 \n",
"Benin 1.63328 \n",
"Rwanda 0.67042 \n",
"Afghanistan 1.95210 \n",
"Burkina Faso 1.46494 \n",
"Ivory Coast 1.41723 \n",
"Guinea 1.99172 \n",
"Chad 1.94296 "
],
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" <td>0.31982</td>\n",
" <td>0.30285</td>\n",
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" <td>0.04324</td>\n",
" <td>0.25812</td>\n",
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" <td>0.03590</td>\n",
" <td>0.17417</td>\n",
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},
"metadata": {},
"execution_count": 13
}
]
},
{
"cell_type": "code",
"source": [
"# loop through columns\n",
"for col in world_happiness:\n",
" print(col)"
],
"metadata": {
"id": "TuZHgDRM2FL8",
"outputId": "bedb1b54-df46-4b90-df20-9c1ecae64dea",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": 14,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Country\n",
"Region\n",
"Happiness Rank\n",
"Happiness Score\n",
"Standard Error\n",
"Economy (GDP per Capita)\n",
"Family\n",
"Health (Life Expectancy)\n",
"Freedom\n",
"Trust (Government Corruption)\n",
"Generosity\n",
"Dystopia Residual\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# loop through rows\n",
"for i in range(world_happiness.shape[0]):\n",
" print(world_happiness.iloc[i])"
],
"metadata": {
"id": "XU6V2Ch72JIb",
"outputId": "479bf6df-cf25-4404-d873-9178da94b9f2",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": 16,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Country Switzerland\n",
"Region Western Europe\n",
"Happiness Rank 1\n",
"Happiness Score 7.587\n",
"Standard Error 0.03411\n",
"Economy (GDP per Capita) 1.39651\n",
"Family 1.34951\n",
"Health (Life Expectancy) 0.94143\n",
"Freedom 0.66557\n",
"Trust (Government Corruption) 0.41978\n",
"Generosity 0.29678\n",
"Dystopia Residual 2.51738\n",
"Name: 0, dtype: object\n",
"Country Iceland\n",
"Region Western Europe\n",
"Happiness Rank 2\n",
"Happiness Score 7.561\n",
"Standard Error 0.04884\n",
"Economy (GDP per Capita) 1.30232\n",
"Family 1.40223\n",
"Health (Life Expectancy) 0.94784\n",
"Freedom 0.62877\n",
"Trust (Government Corruption) 0.14145\n",
"Generosity 0.4363\n",
"Dystopia Residual 2.70201\n",
"Name: 1, dtype: object\n",
"Country Denmark\n",
"Region Western Europe\n",
"Happiness Rank 3\n",
"Happiness Score 7.527\n",
"Standard Error 0.03328\n",
"Economy (GDP per Capita) 1.32548\n",
"Family 1.36058\n",
"Health (Life Expectancy) 0.87464\n",
"Freedom 0.64938\n",
"Trust (Government Corruption) 0.48357\n",
"Generosity 0.34139\n",
"Dystopia Residual 2.49204\n",
"Name: 2, dtype: object\n",
"Country Norway\n",
"Region Western Europe\n",
"Happiness Rank 4\n",
"Happiness Score 7.522\n",
"Standard Error 0.0388\n",
"Economy (GDP per Capita) 1.459\n",
"Family 1.33095\n",
"Health (Life Expectancy) 0.88521\n",
"Freedom 0.66973\n",
"Trust (Government Corruption) 0.36503\n",
"Generosity 0.34699\n",
"Dystopia Residual 2.46531\n",
"Name: 3, dtype: object\n",
"Country Canada\n",
"Region North America\n",
"Happiness Rank 5\n",
"Happiness Score 7.427\n",
"Standard Error 0.03553\n",
"Economy (GDP per Capita) 1.32629\n",
"Family 1.32261\n",
"Health (Life Expectancy) 0.90563\n",
"Freedom 0.63297\n",
"Trust (Government Corruption) 0.32957\n",
"Generosity 0.45811\n",
"Dystopia Residual 2.45176\n",
"Name: 4, dtype: object\n",
"Country Finland\n",
"Region Western Europe\n",
"Happiness Rank 6\n",
"Happiness Score 7.406\n",
"Standard Error 0.0314\n",
"Economy (GDP per Capita) 1.29025\n",
"Family 1.31826\n",
"Health (Life Expectancy) 0.88911\n",
"Freedom 0.64169\n",
"Trust (Government Corruption) 0.41372\n",
"Generosity 0.23351\n",
"Dystopia Residual 2.61955\n",
"Name: 5, dtype: object\n",
"Country Netherlands\n",
"Region Western Europe\n",
"Happiness Rank 7\n",
"Happiness Score 7.378\n",
"Standard Error 0.02799\n",
"Economy (GDP per Capita) 1.32944\n",
"Family 1.28017\n",
"Health (Life Expectancy) 0.89284\n",
"Freedom 0.61576\n",
"Trust (Government Corruption) 0.31814\n",
"Generosity 0.4761\n",
"Dystopia Residual 2.4657\n",
"Name: 6, dtype: object\n",
"Country Sweden\n",
"Region Western Europe\n",
"Happiness Rank 8\n",
"Happiness Score 7.364\n",
"Standard Error 0.03157\n",
"Economy (GDP per Capita) 1.33171\n",
"Family 1.28907\n",
"Health (Life Expectancy) 0.91087\n",
"Freedom 0.6598\n",
"Trust (Government Corruption) 0.43844\n",
"Generosity 0.36262\n",
"Dystopia Residual 2.37119\n",
"Name: 7, dtype: object\n",
"Country New Zealand\n",
"Region Australia and New Zealand\n",
"Happiness Rank 9\n",
"Happiness Score 7.286\n",
"Standard Error 0.03371\n",
"Economy (GDP per Capita) 1.25018\n",
"Family 1.31967\n",
"Health (Life Expectancy) 0.90837\n",
"Freedom 0.63938\n",
"Trust (Government Corruption) 0.42922\n",
"Generosity 0.47501\n",
"Dystopia Residual 2.26425\n",
"Name: 8, dtype: object\n",
"Country Australia\n",
"Region Australia and New Zealand\n",
"Happiness Rank 10\n",
"Happiness Score 7.284\n",
"Standard Error 0.04083\n",
"Economy (GDP per Capita) 1.33358\n",
"Family 1.30923\n",
"Health (Life Expectancy) 0.93156\n",
"Freedom 0.65124\n",
"Trust (Government Corruption) 0.35637\n",
"Generosity 0.43562\n",
"Dystopia Residual 2.26646\n",
"Name: 9, dtype: object\n",
"Country Israel\n",
"Region Middle East and Northern Africa\n",
"Happiness Rank 11\n",
"Happiness Score 7.278\n",
"Standard Error 0.0347\n",
"Economy (GDP per Capita) 1.22857\n",
"Family 1.22393\n",
"Health (Life Expectancy) 0.91387\n",
"Freedom 0.41319\n",
"Trust (Government Corruption) 0.07785\n",
"Generosity 0.33172\n",
"Dystopia Residual 3.08854\n",
"Name: 10, dtype: object\n",
"Country Costa Rica\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 12\n",
"Happiness Score 7.226\n",
"Standard Error 0.04454\n",
"Economy (GDP per Capita) 0.95578\n",
"Family 1.23788\n",
"Health (Life Expectancy) 0.86027\n",
"Freedom 0.63376\n",
"Trust (Government Corruption) 0.10583\n",
"Generosity 0.25497\n",
"Dystopia Residual 3.17728\n",
"Name: 11, dtype: object\n",
"Country Austria\n",
"Region Western Europe\n",
"Happiness Rank 13\n",
"Happiness Score 7.2\n",
"Standard Error 0.03751\n",
"Economy (GDP per Capita) 1.33723\n",
"Family 1.29704\n",
"Health (Life Expectancy) 0.89042\n",
"Freedom 0.62433\n",
"Trust (Government Corruption) 0.18676\n",
"Generosity 0.33088\n",
"Dystopia Residual 2.5332\n",
"Name: 12, dtype: object\n",
"Country Mexico\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 14\n",
"Happiness Score 7.187\n",
"Standard Error 0.04176\n",
"Economy (GDP per Capita) 1.02054\n",
"Family 0.91451\n",
"Health (Life Expectancy) 0.81444\n",
"Freedom 0.48181\n",
"Trust (Government Corruption) 0.21312\n",
"Generosity 0.14074\n",
"Dystopia Residual 3.60214\n",
"Name: 13, dtype: object\n",
"Country United States\n",
"Region North America\n",
"Happiness Rank 15\n",
"Happiness Score 7.119\n",
"Standard Error 0.03839\n",
"Economy (GDP per Capita) 1.39451\n",
"Family 1.24711\n",
"Health (Life Expectancy) 0.86179\n",
"Freedom 0.54604\n",
"Trust (Government Corruption) 0.1589\n",
"Generosity 0.40105\n",
"Dystopia Residual 2.51011\n",
"Name: 14, dtype: object\n",
"Country Brazil\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 16\n",
"Happiness Score 6.983\n",
"Standard Error 0.04076\n",
"Economy (GDP per Capita) 0.98124\n",
"Family 1.23287\n",
"Health (Life Expectancy) 0.69702\n",
"Freedom 0.49049\n",
"Trust (Government Corruption) 0.17521\n",
"Generosity 0.14574\n",
"Dystopia Residual 3.26001\n",
"Name: 15, dtype: object\n",
"Country Luxembourg\n",
"Region Western Europe\n",
"Happiness Rank 17\n",
"Happiness Score 6.946\n",
"Standard Error 0.03499\n",
"Economy (GDP per Capita) 1.56391\n",
"Family 1.21963\n",
"Health (Life Expectancy) 0.91894\n",
"Freedom 0.61583\n",
"Trust (Government Corruption) 0.37798\n",
"Generosity 0.28034\n",
"Dystopia Residual 1.96961\n",
"Name: 16, dtype: object\n",
"Country Ireland\n",
"Region Western Europe\n",
"Happiness Rank 18\n",
"Happiness Score 6.94\n",
"Standard Error 0.03676\n",
"Economy (GDP per Capita) 1.33596\n",
"Family 1.36948\n",
"Health (Life Expectancy) 0.89533\n",
"Freedom 0.61777\n",
"Trust (Government Corruption) 0.28703\n",
"Generosity 0.45901\n",
"Dystopia Residual 1.9757\n",
"Name: 17, dtype: object\n",
"Country Belgium\n",
"Region Western Europe\n",
"Happiness Rank 19\n",
"Happiness Score 6.937\n",
"Standard Error 0.03595\n",
"Economy (GDP per Capita) 1.30782\n",
"Family 1.28566\n",
"Health (Life Expectancy) 0.89667\n",
"Freedom 0.5845\n",
"Trust (Government Corruption) 0.2254\n",
"Generosity 0.2225\n",
"Dystopia Residual 2.41484\n",
"Name: 18, dtype: object\n",
"Country United Arab Emirates\n",
"Region Middle East and Northern Africa\n",
"Happiness Rank 20\n",
"Happiness Score 6.901\n",
"Standard Error 0.03729\n",
"Economy (GDP per Capita) 1.42727\n",
"Family 1.12575\n",
"Health (Life Expectancy) 0.80925\n",
"Freedom 0.64157\n",
"Trust (Government Corruption) 0.38583\n",
"Generosity 0.26428\n",
"Dystopia Residual 2.24743\n",
"Name: 19, dtype: object\n",
"Country United Kingdom\n",
"Region Western Europe\n",
"Happiness Rank 21\n",
"Happiness Score 6.867\n",
"Standard Error 0.01866\n",
"Economy (GDP per Capita) 1.26637\n",
"Family 1.28548\n",
"Health (Life Expectancy) 0.90943\n",
"Freedom 0.59625\n",
"Trust (Government Corruption) 0.32067\n",
"Generosity 0.51912\n",
"Dystopia Residual 1.96994\n",
"Name: 20, dtype: object\n",
"Country Oman\n",
"Region Middle East and Northern Africa\n",
"Happiness Rank 22\n",
"Happiness Score 6.853\n",
"Standard Error 0.05335\n",
"Economy (GDP per Capita) 1.36011\n",
"Family 1.08182\n",
"Health (Life Expectancy) 0.76276\n",
"Freedom 0.63274\n",
"Trust (Government Corruption) 0.32524\n",
"Generosity 0.21542\n",
"Dystopia Residual 2.47489\n",
"Name: 21, dtype: object\n",
"Country Venezuela\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 23\n",
"Happiness Score 6.81\n",
"Standard Error 0.06476\n",
"Economy (GDP per Capita) 1.04424\n",
"Family 1.25596\n",
"Health (Life Expectancy) 0.72052\n",
"Freedom 0.42908\n",
"Trust (Government Corruption) 0.11069\n",
"Generosity 0.05841\n",
"Dystopia Residual 3.19131\n",
"Name: 22, dtype: object\n",
"Country Singapore\n",
"Region Southeastern Asia\n",
"Happiness Rank 24\n",
"Happiness Score 6.798\n",
"Standard Error 0.0378\n",
"Economy (GDP per Capita) 1.52186\n",
"Family 1.02\n",
"Health (Life Expectancy) 1.02525\n",
"Freedom 0.54252\n",
"Trust (Government Corruption) 0.4921\n",
"Generosity 0.31105\n",
"Dystopia Residual 1.88501\n",
"Name: 23, dtype: object\n",
"Country Panama\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 25\n",
"Happiness Score 6.786\n",
"Standard Error 0.0491\n",
"Economy (GDP per Capita) 1.06353\n",
"Family 1.1985\n",
"Health (Life Expectancy) 0.79661\n",
"Freedom 0.5421\n",
"Trust (Government Corruption) 0.0927\n",
"Generosity 0.24434\n",
"Dystopia Residual 2.84848\n",
"Name: 24, dtype: object\n",
"Country Germany\n",
"Region Western Europe\n",
"Happiness Rank 26\n",
"Happiness Score 6.75\n",
"Standard Error 0.01848\n",
"Economy (GDP per Capita) 1.32792\n",
"Family 1.29937\n",
"Health (Life Expectancy) 0.89186\n",
"Freedom 0.61477\n",
"Trust (Government Corruption) 0.21843\n",
"Generosity 0.28214\n",
"Dystopia Residual 2.11569\n",
"Name: 25, dtype: object\n",
"Country Chile\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 27\n",
"Happiness Score 6.67\n",
"Standard Error 0.058\n",
"Economy (GDP per Capita) 1.10715\n",
"Family 1.12447\n",
"Health (Life Expectancy) 0.85857\n",
"Freedom 0.44132\n",
"Trust (Government Corruption) 0.12869\n",
"Generosity 0.33363\n",
"Dystopia Residual 2.67585\n",
"Name: 26, dtype: object\n",
"Country Qatar\n",
"Region Middle East and Northern Africa\n",
"Happiness Rank 28\n",
"Happiness Score 6.611\n",
"Standard Error 0.06257\n",
"Economy (GDP per Capita) 1.69042\n",
"Family 1.0786\n",
"Health (Life Expectancy) 0.79733\n",
"Freedom 0.6404\n",
"Trust (Government Corruption) 0.52208\n",
"Generosity 0.32573\n",
"Dystopia Residual 1.55674\n",
"Name: 27, dtype: object\n",
"Country France\n",
"Region Western Europe\n",
"Happiness Rank 29\n",
"Happiness Score 6.575\n",
"Standard Error 0.03512\n",
"Economy (GDP per Capita) 1.27778\n",
"Family 1.26038\n",
"Health (Life Expectancy) 0.94579\n",
"Freedom 0.55011\n",
"Trust (Government Corruption) 0.20646\n",
"Generosity 0.12332\n",
"Dystopia Residual 2.21126\n",
"Name: 28, dtype: object\n",
"Country Argentina\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 30\n",
"Happiness Score 6.574\n",
"Standard Error 0.04612\n",
"Economy (GDP per Capita) 1.05351\n",
"Family 1.24823\n",
"Health (Life Expectancy) 0.78723\n",
"Freedom 0.44974\n",
"Trust (Government Corruption) 0.08484\n",
"Generosity 0.11451\n",
"Dystopia Residual 2.836\n",
"Name: 29, dtype: object\n",
"Country Czech Republic\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 31\n",
"Happiness Score 6.505\n",
"Standard Error 0.04168\n",
"Economy (GDP per Capita) 1.17898\n",
"Family 1.20643\n",
"Health (Life Expectancy) 0.84483\n",
"Freedom 0.46364\n",
"Trust (Government Corruption) 0.02652\n",
"Generosity 0.10686\n",
"Dystopia Residual 2.67782\n",
"Name: 30, dtype: object\n",
"Country Uruguay\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 32\n",
"Happiness Score 6.485\n",
"Standard Error 0.04539\n",
"Economy (GDP per Capita) 1.06166\n",
"Family 1.2089\n",
"Health (Life Expectancy) 0.8116\n",
"Freedom 0.60362\n",
"Trust (Government Corruption) 0.24558\n",
"Generosity 0.2324\n",
"Dystopia Residual 2.32142\n",
"Name: 31, dtype: object\n",
"Country Colombia\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 33\n",
"Happiness Score 6.477\n",
"Standard Error 0.05051\n",
"Economy (GDP per Capita) 0.91861\n",
"Family 1.24018\n",
"Health (Life Expectancy) 0.69077\n",
"Freedom 0.53466\n",
"Trust (Government Corruption) 0.0512\n",
"Generosity 0.18401\n",
"Dystopia Residual 2.85737\n",
"Name: 32, dtype: object\n",
"Country Thailand\n",
"Region Southeastern Asia\n",
"Happiness Rank 34\n",
"Happiness Score 6.455\n",
"Standard Error 0.03557\n",
"Economy (GDP per Capita) 0.9669\n",
"Family 1.26504\n",
"Health (Life Expectancy) 0.7385\n",
"Freedom 0.55664\n",
"Trust (Government Corruption) 0.03187\n",
"Generosity 0.5763\n",
"Dystopia Residual 2.31945\n",
"Name: 33, dtype: object\n",
"Country Saudi Arabia\n",
"Region Middle East and Northern Africa\n",
"Happiness Rank 35\n",
"Happiness Score 6.411\n",
"Standard Error 0.04633\n",
"Economy (GDP per Capita) 1.39541\n",
"Family 1.08393\n",
"Health (Life Expectancy) 0.72025\n",
"Freedom 0.31048\n",
"Trust (Government Corruption) 0.32524\n",
"Generosity 0.13706\n",
"Dystopia Residual 2.43872\n",
"Name: 34, dtype: object\n",
"Country Spain\n",
"Region Western Europe\n",
"Happiness Rank 36\n",
"Happiness Score 6.329\n",
"Standard Error 0.03468\n",
"Economy (GDP per Capita) 1.23011\n",
"Family 1.31379\n",
"Health (Life Expectancy) 0.95562\n",
"Freedom 0.45951\n",
"Trust (Government Corruption) 0.06398\n",
"Generosity 0.18227\n",
"Dystopia Residual 2.12367\n",
"Name: 35, dtype: object\n",
"Country Malta\n",
"Region Western Europe\n",
"Happiness Rank 37\n",
"Happiness Score 6.302\n",
"Standard Error 0.04206\n",
"Economy (GDP per Capita) 1.2074\n",
"Family 1.30203\n",
"Health (Life Expectancy) 0.88721\n",
"Freedom 0.60365\n",
"Trust (Government Corruption) 0.13586\n",
"Generosity 0.51752\n",
"Dystopia Residual 1.6488\n",
"Name: 36, dtype: object\n",
"Country Taiwan\n",
"Region Eastern Asia\n",
"Happiness Rank 38\n",
"Happiness Score 6.298\n",
"Standard Error 0.03868\n",
"Economy (GDP per Capita) 1.29098\n",
"Family 1.07617\n",
"Health (Life Expectancy) 0.8753\n",
"Freedom 0.3974\n",
"Trust (Government Corruption) 0.08129\n",
"Generosity 0.25376\n",
"Dystopia Residual 2.32323\n",
"Name: 37, dtype: object\n",
"Country Kuwait\n",
"Region Middle East and Northern Africa\n",
"Happiness Rank 39\n",
"Happiness Score 6.295\n",
"Standard Error 0.04456\n",
"Economy (GDP per Capita) 1.55422\n",
"Family 1.16594\n",
"Health (Life Expectancy) 0.72492\n",
"Freedom 0.55499\n",
"Trust (Government Corruption) 0.25609\n",
"Generosity 0.16228\n",
"Dystopia Residual 1.87634\n",
"Name: 38, dtype: object\n",
"Country Suriname\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 40\n",
"Happiness Score 6.269\n",
"Standard Error 0.09811\n",
"Economy (GDP per Capita) 0.99534\n",
"Family 0.972\n",
"Health (Life Expectancy) 0.6082\n",
"Freedom 0.59657\n",
"Trust (Government Corruption) 0.13633\n",
"Generosity 0.16991\n",
"Dystopia Residual 2.79094\n",
"Name: 39, dtype: object\n",
"Country Trinidad and Tobago\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 41\n",
"Happiness Score 6.168\n",
"Standard Error 0.10895\n",
"Economy (GDP per Capita) 1.21183\n",
"Family 1.18354\n",
"Health (Life Expectancy) 0.61483\n",
"Freedom 0.55884\n",
"Trust (Government Corruption) 0.0114\n",
"Generosity 0.31844\n",
"Dystopia Residual 2.26882\n",
"Name: 40, dtype: object\n",
"Country El Salvador\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 42\n",
"Happiness Score 6.13\n",
"Standard Error 0.05618\n",
"Economy (GDP per Capita) 0.76454\n",
"Family 1.02507\n",
"Health (Life Expectancy) 0.67737\n",
"Freedom 0.4035\n",
"Trust (Government Corruption) 0.11776\n",
"Generosity 0.10692\n",
"Dystopia Residual 3.035\n",
"Name: 41, dtype: object\n",
"Country Guatemala\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 43\n",
"Happiness Score 6.123\n",
"Standard Error 0.05224\n",
"Economy (GDP per Capita) 0.74553\n",
"Family 1.04356\n",
"Health (Life Expectancy) 0.64425\n",
"Freedom 0.57733\n",
"Trust (Government Corruption) 0.09472\n",
"Generosity 0.27489\n",
"Dystopia Residual 2.74255\n",
"Name: 42, dtype: object\n",
"Country Uzbekistan\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 44\n",
"Happiness Score 6.003\n",
"Standard Error 0.04361\n",
"Economy (GDP per Capita) 0.63244\n",
"Family 1.34043\n",
"Health (Life Expectancy) 0.59772\n",
"Freedom 0.65821\n",
"Trust (Government Corruption) 0.30826\n",
"Generosity 0.22837\n",
"Dystopia Residual 2.23741\n",
"Name: 43, dtype: object\n",
"Country Slovakia\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 45\n",
"Happiness Score 5.995\n",
"Standard Error 0.04267\n",
"Economy (GDP per Capita) 1.16891\n",
"Family 1.26999\n",
"Health (Life Expectancy) 0.78902\n",
"Freedom 0.31751\n",
"Trust (Government Corruption) 0.03431\n",
"Generosity 0.16893\n",
"Dystopia Residual 2.24639\n",
"Name: 44, dtype: object\n",
"Country Japan\n",
"Region Eastern Asia\n",
"Happiness Rank 46\n",
"Happiness Score 5.987\n",
"Standard Error 0.03581\n",
"Economy (GDP per Capita) 1.27074\n",
"Family 1.25712\n",
"Health (Life Expectancy) 0.99111\n",
"Freedom 0.49615\n",
"Trust (Government Corruption) 0.1806\n",
"Generosity 0.10705\n",
"Dystopia Residual 1.68435\n",
"Name: 45, dtype: object\n",
"Country South Korea\n",
"Region Eastern Asia\n",
"Happiness Rank 47\n",
"Happiness Score 5.984\n",
"Standard Error 0.04098\n",
"Economy (GDP per Capita) 1.24461\n",
"Family 0.95774\n",
"Health (Life Expectancy) 0.96538\n",
"Freedom 0.33208\n",
"Trust (Government Corruption) 0.07857\n",
"Generosity 0.18557\n",
"Dystopia Residual 2.21978\n",
"Name: 46, dtype: object\n",
"Country Ecuador\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 48\n",
"Happiness Score 5.975\n",
"Standard Error 0.04528\n",
"Economy (GDP per Capita) 0.86402\n",
"Family 0.99903\n",
"Health (Life Expectancy) 0.79075\n",
"Freedom 0.48574\n",
"Trust (Government Corruption) 0.1809\n",
"Generosity 0.11541\n",
"Dystopia Residual 2.53942\n",
"Name: 47, dtype: object\n",
"Country Bahrain\n",
"Region Middle East and Northern Africa\n",
"Happiness Rank 49\n",
"Happiness Score 5.96\n",
"Standard Error 0.05412\n",
"Economy (GDP per Capita) 1.32376\n",
"Family 1.21624\n",
"Health (Life Expectancy) 0.74716\n",
"Freedom 0.45492\n",
"Trust (Government Corruption) 0.306\n",
"Generosity 0.17362\n",
"Dystopia Residual 1.73797\n",
"Name: 48, dtype: object\n",
"Country Italy\n",
"Region Western Europe\n",
"Happiness Rank 50\n",
"Happiness Score 5.948\n",
"Standard Error 0.03914\n",
"Economy (GDP per Capita) 1.25114\n",
"Family 1.19777\n",
"Health (Life Expectancy) 0.95446\n",
"Freedom 0.26236\n",
"Trust (Government Corruption) 0.02901\n",
"Generosity 0.22823\n",
"Dystopia Residual 2.02518\n",
"Name: 49, dtype: object\n",
"Country Bolivia\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 51\n",
"Happiness Score 5.89\n",
"Standard Error 0.05642\n",
"Economy (GDP per Capita) 0.68133\n",
"Family 0.97841\n",
"Health (Life Expectancy) 0.5392\n",
"Freedom 0.57414\n",
"Trust (Government Corruption) 0.088\n",
"Generosity 0.20536\n",
"Dystopia Residual 2.82334\n",
"Name: 50, dtype: object\n",
"Country Moldova\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 52\n",
"Happiness Score 5.889\n",
"Standard Error 0.03799\n",
"Economy (GDP per Capita) 0.59448\n",
"Family 1.01528\n",
"Health (Life Expectancy) 0.61826\n",
"Freedom 0.32818\n",
"Trust (Government Corruption) 0.01615\n",
"Generosity 0.20951\n",
"Dystopia Residual 3.10712\n",
"Name: 51, dtype: object\n",
"Country Paraguay\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 53\n",
"Happiness Score 5.878\n",
"Standard Error 0.04563\n",
"Economy (GDP per Capita) 0.75985\n",
"Family 1.30477\n",
"Health (Life Expectancy) 0.66098\n",
"Freedom 0.53899\n",
"Trust (Government Corruption) 0.08242\n",
"Generosity 0.3424\n",
"Dystopia Residual 2.18896\n",
"Name: 52, dtype: object\n",
"Country Kazakhstan\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 54\n",
"Happiness Score 5.855\n",
"Standard Error 0.04114\n",
"Economy (GDP per Capita) 1.12254\n",
"Family 1.12241\n",
"Health (Life Expectancy) 0.64368\n",
"Freedom 0.51649\n",
"Trust (Government Corruption) 0.08454\n",
"Generosity 0.11827\n",
"Dystopia Residual 2.24729\n",
"Name: 53, dtype: object\n",
"Country Slovenia\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 55\n",
"Happiness Score 5.848\n",
"Standard Error 0.04251\n",
"Economy (GDP per Capita) 1.18498\n",
"Family 1.27385\n",
"Health (Life Expectancy) 0.87337\n",
"Freedom 0.60855\n",
"Trust (Government Corruption) 0.03787\n",
"Generosity 0.25328\n",
"Dystopia Residual 1.61583\n",
"Name: 54, dtype: object\n",
"Country Lithuania\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 56\n",
"Happiness Score 5.833\n",
"Standard Error 0.03843\n",
"Economy (GDP per Capita) 1.14723\n",
"Family 1.25745\n",
"Health (Life Expectancy) 0.73128\n",
"Freedom 0.21342\n",
"Trust (Government Corruption) 0.01031\n",
"Generosity 0.02641\n",
"Dystopia Residual 2.44649\n",
"Name: 55, dtype: object\n",
"Country Nicaragua\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 57\n",
"Happiness Score 5.828\n",
"Standard Error 0.05371\n",
"Economy (GDP per Capita) 0.59325\n",
"Family 1.14184\n",
"Health (Life Expectancy) 0.74314\n",
"Freedom 0.55475\n",
"Trust (Government Corruption) 0.19317\n",
"Generosity 0.27815\n",
"Dystopia Residual 2.32407\n",
"Name: 56, dtype: object\n",
"Country Peru\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 58\n",
"Happiness Score 5.824\n",
"Standard Error 0.04615\n",
"Economy (GDP per Capita) 0.90019\n",
"Family 0.97459\n",
"Health (Life Expectancy) 0.73017\n",
"Freedom 0.41496\n",
"Trust (Government Corruption) 0.05989\n",
"Generosity 0.14982\n",
"Dystopia Residual 2.5945\n",
"Name: 57, dtype: object\n",
"Country Belarus\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 59\n",
"Happiness Score 5.813\n",
"Standard Error 0.03938\n",
"Economy (GDP per Capita) 1.03192\n",
"Family 1.23289\n",
"Health (Life Expectancy) 0.73608\n",
"Freedom 0.37938\n",
"Trust (Government Corruption) 0.1909\n",
"Generosity 0.11046\n",
"Dystopia Residual 2.1309\n",
"Name: 58, dtype: object\n",
"Country Poland\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 60\n",
"Happiness Score 5.791\n",
"Standard Error 0.04263\n",
"Economy (GDP per Capita) 1.12555\n",
"Family 1.27948\n",
"Health (Life Expectancy) 0.77903\n",
"Freedom 0.53122\n",
"Trust (Government Corruption) 0.04212\n",
"Generosity 0.16759\n",
"Dystopia Residual 1.86565\n",
"Name: 59, dtype: object\n",
"Country Malaysia\n",
"Region Southeastern Asia\n",
"Happiness Rank 61\n",
"Happiness Score 5.77\n",
"Standard Error 0.0433\n",
"Economy (GDP per Capita) 1.12486\n",
"Family 1.07023\n",
"Health (Life Expectancy) 0.72394\n",
"Freedom 0.53024\n",
"Trust (Government Corruption) 0.10501\n",
"Generosity 0.33075\n",
"Dystopia Residual 1.88541\n",
"Name: 60, dtype: object\n",
"Country Croatia\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 62\n",
"Happiness Score 5.759\n",
"Standard Error 0.04394\n",
"Economy (GDP per Capita) 1.08254\n",
"Family 0.79624\n",
"Health (Life Expectancy) 0.78805\n",
"Freedom 0.25883\n",
"Trust (Government Corruption) 0.0243\n",
"Generosity 0.05444\n",
"Dystopia Residual 2.75414\n",
"Name: 61, dtype: object\n",
"Country Libya\n",
"Region Middle East and Northern Africa\n",
"Happiness Rank 63\n",
"Happiness Score 5.754\n",
"Standard Error 0.07832\n",
"Economy (GDP per Capita) 1.13145\n",
"Family 1.11862\n",
"Health (Life Expectancy) 0.7038\n",
"Freedom 0.41668\n",
"Trust (Government Corruption) 0.11023\n",
"Generosity 0.18295\n",
"Dystopia Residual 2.09066\n",
"Name: 62, dtype: object\n",
"Country Russia\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 64\n",
"Happiness Score 5.716\n",
"Standard Error 0.03135\n",
"Economy (GDP per Capita) 1.13764\n",
"Family 1.23617\n",
"Health (Life Expectancy) 0.66926\n",
"Freedom 0.36679\n",
"Trust (Government Corruption) 0.03005\n",
"Generosity 0.00199\n",
"Dystopia Residual 2.27394\n",
"Name: 63, dtype: object\n",
"Country Jamaica\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 65\n",
"Happiness Score 5.709\n",
"Standard Error 0.13693\n",
"Economy (GDP per Capita) 0.81038\n",
"Family 1.15102\n",
"Health (Life Expectancy) 0.68741\n",
"Freedom 0.50442\n",
"Trust (Government Corruption) 0.02299\n",
"Generosity 0.2123\n",
"Dystopia Residual 2.32038\n",
"Name: 64, dtype: object\n",
"Country North Cyprus\n",
"Region Western Europe\n",
"Happiness Rank 66\n",
"Happiness Score 5.695\n",
"Standard Error 0.05635\n",
"Economy (GDP per Capita) 1.20806\n",
"Family 1.07008\n",
"Health (Life Expectancy) 0.92356\n",
"Freedom 0.49027\n",
"Trust (Government Corruption) 0.1428\n",
"Generosity 0.26169\n",
"Dystopia Residual 1.59888\n",
"Name: 65, dtype: object\n",
"Country Cyprus\n",
"Region Western Europe\n",
"Happiness Rank 67\n",
"Happiness Score 5.689\n",
"Standard Error 0.0558\n",
"Economy (GDP per Capita) 1.20813\n",
"Family 0.89318\n",
"Health (Life Expectancy) 0.92356\n",
"Freedom 0.40672\n",
"Trust (Government Corruption) 0.06146\n",
"Generosity 0.30638\n",
"Dystopia Residual 1.88931\n",
"Name: 66, dtype: object\n",
"Country Algeria\n",
"Region Middle East and Northern Africa\n",
"Happiness Rank 68\n",
"Happiness Score 5.605\n",
"Standard Error 0.05099\n",
"Economy (GDP per Capita) 0.93929\n",
"Family 1.07772\n",
"Health (Life Expectancy) 0.61766\n",
"Freedom 0.28579\n",
"Trust (Government Corruption) 0.17383\n",
"Generosity 0.07822\n",
"Dystopia Residual 2.43209\n",
"Name: 67, dtype: object\n",
"Country Kosovo\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 69\n",
"Happiness Score 5.589\n",
"Standard Error 0.05018\n",
"Economy (GDP per Capita) 0.80148\n",
"Family 0.81198\n",
"Health (Life Expectancy) 0.63132\n",
"Freedom 0.24749\n",
"Trust (Government Corruption) 0.04741\n",
"Generosity 0.2831\n",
"Dystopia Residual 2.76579\n",
"Name: 68, dtype: object\n",
"Country Turkmenistan\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 70\n",
"Happiness Score 5.548\n",
"Standard Error 0.04175\n",
"Economy (GDP per Capita) 0.95847\n",
"Family 1.22668\n",
"Health (Life Expectancy) 0.53886\n",
"Freedom 0.4761\n",
"Trust (Government Corruption) 0.30844\n",
"Generosity 0.16979\n",
"Dystopia Residual 1.86984\n",
"Name: 69, dtype: object\n",
"Country Mauritius\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 71\n",
"Happiness Score 5.477\n",
"Standard Error 0.07197\n",
"Economy (GDP per Capita) 1.00761\n",
"Family 0.98521\n",
"Health (Life Expectancy) 0.7095\n",
"Freedom 0.56066\n",
"Trust (Government Corruption) 0.07521\n",
"Generosity 0.37744\n",
"Dystopia Residual 1.76145\n",
"Name: 70, dtype: object\n",
"Country Hong Kong\n",
"Region Eastern Asia\n",
"Happiness Rank 72\n",
"Happiness Score 5.474\n",
"Standard Error 0.05051\n",
"Economy (GDP per Capita) 1.38604\n",
"Family 1.05818\n",
"Health (Life Expectancy) 1.01328\n",
"Freedom 0.59608\n",
"Trust (Government Corruption) 0.37124\n",
"Generosity 0.39478\n",
"Dystopia Residual 0.65429\n",
"Name: 71, dtype: object\n",
"Country Estonia\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 73\n",
"Happiness Score 5.429\n",
"Standard Error 0.04013\n",
"Economy (GDP per Capita) 1.15174\n",
"Family 1.22791\n",
"Health (Life Expectancy) 0.77361\n",
"Freedom 0.44888\n",
"Trust (Government Corruption) 0.15184\n",
"Generosity 0.0868\n",
"Dystopia Residual 1.58782\n",
"Name: 72, dtype: object\n",
"Country Indonesia\n",
"Region Southeastern Asia\n",
"Happiness Rank 74\n",
"Happiness Score 5.399\n",
"Standard Error 0.02596\n",
"Economy (GDP per Capita) 0.82827\n",
"Family 1.08708\n",
"Health (Life Expectancy) 0.63793\n",
"Freedom 0.46611\n",
"Trust (Government Corruption) 0.0\n",
"Generosity 0.51535\n",
"Dystopia Residual 1.86399\n",
"Name: 73, dtype: object\n",
"Country Vietnam\n",
"Region Southeastern Asia\n",
"Happiness Rank 75\n",
"Happiness Score 5.36\n",
"Standard Error 0.03107\n",
"Economy (GDP per Capita) 0.63216\n",
"Family 0.91226\n",
"Health (Life Expectancy) 0.74676\n",
"Freedom 0.59444\n",
"Trust (Government Corruption) 0.10441\n",
"Generosity 0.1686\n",
"Dystopia Residual 2.20173\n",
"Name: 74, dtype: object\n",
"Country Turkey\n",
"Region Middle East and Northern Africa\n",
"Happiness Rank 76\n",
"Happiness Score 5.332\n",
"Standard Error 0.03864\n",
"Economy (GDP per Capita) 1.06098\n",
"Family 0.94632\n",
"Health (Life Expectancy) 0.73172\n",
"Freedom 0.22815\n",
"Trust (Government Corruption) 0.15746\n",
"Generosity 0.12253\n",
"Dystopia Residual 2.08528\n",
"Name: 75, dtype: object\n",
"Country Kyrgyzstan\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 77\n",
"Happiness Score 5.286\n",
"Standard Error 0.03823\n",
"Economy (GDP per Capita) 0.47428\n",
"Family 1.15115\n",
"Health (Life Expectancy) 0.65088\n",
"Freedom 0.43477\n",
"Trust (Government Corruption) 0.04232\n",
"Generosity 0.3003\n",
"Dystopia Residual 2.2327\n",
"Name: 76, dtype: object\n",
"Country Nigeria\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 78\n",
"Happiness Score 5.268\n",
"Standard Error 0.04192\n",
"Economy (GDP per Capita) 0.65435\n",
"Family 0.90432\n",
"Health (Life Expectancy) 0.16007\n",
"Freedom 0.34334\n",
"Trust (Government Corruption) 0.0403\n",
"Generosity 0.27233\n",
"Dystopia Residual 2.89319\n",
"Name: 77, dtype: object\n",
"Country Bhutan\n",
"Region Southern Asia\n",
"Happiness Rank 79\n",
"Happiness Score 5.253\n",
"Standard Error 0.03225\n",
"Economy (GDP per Capita) 0.77042\n",
"Family 1.10395\n",
"Health (Life Expectancy) 0.57407\n",
"Freedom 0.53206\n",
"Trust (Government Corruption) 0.15445\n",
"Generosity 0.47998\n",
"Dystopia Residual 1.63794\n",
"Name: 78, dtype: object\n",
"Country Azerbaijan\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 80\n",
"Happiness Score 5.212\n",
"Standard Error 0.03363\n",
"Economy (GDP per Capita) 1.02389\n",
"Family 0.93793\n",
"Health (Life Expectancy) 0.64045\n",
"Freedom 0.3703\n",
"Trust (Government Corruption) 0.16065\n",
"Generosity 0.07799\n",
"Dystopia Residual 2.00073\n",
"Name: 79, dtype: object\n",
"Country Pakistan\n",
"Region Southern Asia\n",
"Happiness Rank 81\n",
"Happiness Score 5.194\n",
"Standard Error 0.03726\n",
"Economy (GDP per Capita) 0.59543\n",
"Family 0.41411\n",
"Health (Life Expectancy) 0.51466\n",
"Freedom 0.12102\n",
"Trust (Government Corruption) 0.10464\n",
"Generosity 0.33671\n",
"Dystopia Residual 3.10709\n",
"Name: 80, dtype: object\n",
"Country Jordan\n",
"Region Middle East and Northern Africa\n",
"Happiness Rank 82\n",
"Happiness Score 5.192\n",
"Standard Error 0.04524\n",
"Economy (GDP per Capita) 0.90198\n",
"Family 1.05392\n",
"Health (Life Expectancy) 0.69639\n",
"Freedom 0.40661\n",
"Trust (Government Corruption) 0.14293\n",
"Generosity 0.11053\n",
"Dystopia Residual 1.87996\n",
"Name: 81, dtype: object\n",
"Country Montenegro\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 82\n",
"Happiness Score 5.192\n",
"Standard Error 0.05235\n",
"Economy (GDP per Capita) 0.97438\n",
"Family 0.90557\n",
"Health (Life Expectancy) 0.72521\n",
"Freedom 0.1826\n",
"Trust (Government Corruption) 0.14296\n",
"Generosity 0.1614\n",
"Dystopia Residual 2.10017\n",
"Name: 82, dtype: object\n",
"Country China\n",
"Region Eastern Asia\n",
"Happiness Rank 84\n",
"Happiness Score 5.14\n",
"Standard Error 0.02424\n",
"Economy (GDP per Capita) 0.89012\n",
"Family 0.94675\n",
"Health (Life Expectancy) 0.81658\n",
"Freedom 0.51697\n",
"Trust (Government Corruption) 0.02781\n",
"Generosity 0.08185\n",
"Dystopia Residual 1.8604\n",
"Name: 83, dtype: object\n",
"Country Zambia\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 85\n",
"Happiness Score 5.129\n",
"Standard Error 0.06988\n",
"Economy (GDP per Capita) 0.47038\n",
"Family 0.91612\n",
"Health (Life Expectancy) 0.29924\n",
"Freedom 0.48827\n",
"Trust (Government Corruption) 0.12468\n",
"Generosity 0.19591\n",
"Dystopia Residual 2.6343\n",
"Name: 84, dtype: object\n",
"Country Romania\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 86\n",
"Happiness Score 5.124\n",
"Standard Error 0.06607\n",
"Economy (GDP per Capita) 1.04345\n",
"Family 0.88588\n",
"Health (Life Expectancy) 0.7689\n",
"Freedom 0.35068\n",
"Trust (Government Corruption) 0.00649\n",
"Generosity 0.13748\n",
"Dystopia Residual 1.93129\n",
"Name: 85, dtype: object\n",
"Country Serbia\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 87\n",
"Happiness Score 5.123\n",
"Standard Error 0.04864\n",
"Economy (GDP per Capita) 0.92053\n",
"Family 1.00964\n",
"Health (Life Expectancy) 0.74836\n",
"Freedom 0.20107\n",
"Trust (Government Corruption) 0.02617\n",
"Generosity 0.19231\n",
"Dystopia Residual 2.025\n",
"Name: 86, dtype: object\n",
"Country Portugal\n",
"Region Western Europe\n",
"Happiness Rank 88\n",
"Happiness Score 5.102\n",
"Standard Error 0.04802\n",
"Economy (GDP per Capita) 1.15991\n",
"Family 1.13935\n",
"Health (Life Expectancy) 0.87519\n",
"Freedom 0.51469\n",
"Trust (Government Corruption) 0.01078\n",
"Generosity 0.13719\n",
"Dystopia Residual 1.26462\n",
"Name: 87, dtype: object\n",
"Country Latvia\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 89\n",
"Happiness Score 5.098\n",
"Standard Error 0.0464\n",
"Economy (GDP per Capita) 1.11312\n",
"Family 1.09562\n",
"Health (Life Expectancy) 0.72437\n",
"Freedom 0.29671\n",
"Trust (Government Corruption) 0.06332\n",
"Generosity 0.18226\n",
"Dystopia Residual 1.62215\n",
"Name: 88, dtype: object\n",
"Country Philippines\n",
"Region Southeastern Asia\n",
"Happiness Rank 90\n",
"Happiness Score 5.073\n",
"Standard Error 0.04934\n",
"Economy (GDP per Capita) 0.70532\n",
"Family 1.03516\n",
"Health (Life Expectancy) 0.58114\n",
"Freedom 0.62545\n",
"Trust (Government Corruption) 0.12279\n",
"Generosity 0.24991\n",
"Dystopia Residual 1.7536\n",
"Name: 89, dtype: object\n",
"Country Somaliland region\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 91\n",
"Happiness Score 5.057\n",
"Standard Error 0.06161\n",
"Economy (GDP per Capita) 0.18847\n",
"Family 0.95152\n",
"Health (Life Expectancy) 0.43873\n",
"Freedom 0.46582\n",
"Trust (Government Corruption) 0.39928\n",
"Generosity 0.50318\n",
"Dystopia Residual 2.11032\n",
"Name: 90, dtype: object\n",
"Country Morocco\n",
"Region Middle East and Northern Africa\n",
"Happiness Rank 92\n",
"Happiness Score 5.013\n",
"Standard Error 0.0342\n",
"Economy (GDP per Capita) 0.73479\n",
"Family 0.64095\n",
"Health (Life Expectancy) 0.60954\n",
"Freedom 0.41691\n",
"Trust (Government Corruption) 0.08546\n",
"Generosity 0.07172\n",
"Dystopia Residual 2.45373\n",
"Name: 91, dtype: object\n",
"Country Macedonia\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 93\n",
"Happiness Score 5.007\n",
"Standard Error 0.05376\n",
"Economy (GDP per Capita) 0.91851\n",
"Family 1.00232\n",
"Health (Life Expectancy) 0.73545\n",
"Freedom 0.33457\n",
"Trust (Government Corruption) 0.05327\n",
"Generosity 0.22359\n",
"Dystopia Residual 1.73933\n",
"Name: 92, dtype: object\n",
"Country Mozambique\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 94\n",
"Happiness Score 4.971\n",
"Standard Error 0.07896\n",
"Economy (GDP per Capita) 0.08308\n",
"Family 1.02626\n",
"Health (Life Expectancy) 0.09131\n",
"Freedom 0.34037\n",
"Trust (Government Corruption) 0.15603\n",
"Generosity 0.22269\n",
"Dystopia Residual 3.05137\n",
"Name: 93, dtype: object\n",
"Country Albania\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 95\n",
"Happiness Score 4.959\n",
"Standard Error 0.05013\n",
"Economy (GDP per Capita) 0.87867\n",
"Family 0.80434\n",
"Health (Life Expectancy) 0.81325\n",
"Freedom 0.35733\n",
"Trust (Government Corruption) 0.06413\n",
"Generosity 0.14272\n",
"Dystopia Residual 1.89894\n",
"Name: 94, dtype: object\n",
"Country Bosnia and Herzegovina\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 96\n",
"Happiness Score 4.949\n",
"Standard Error 0.06913\n",
"Economy (GDP per Capita) 0.83223\n",
"Family 0.91916\n",
"Health (Life Expectancy) 0.79081\n",
"Freedom 0.09245\n",
"Trust (Government Corruption) 0.00227\n",
"Generosity 0.24808\n",
"Dystopia Residual 2.06367\n",
"Name: 95, dtype: object\n",
"Country Lesotho\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 97\n",
"Happiness Score 4.898\n",
"Standard Error 0.09438\n",
"Economy (GDP per Capita) 0.37545\n",
"Family 1.04103\n",
"Health (Life Expectancy) 0.07612\n",
"Freedom 0.31767\n",
"Trust (Government Corruption) 0.12504\n",
"Generosity 0.16388\n",
"Dystopia Residual 2.79832\n",
"Name: 96, dtype: object\n",
"Country Dominican Republic\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 98\n",
"Happiness Score 4.885\n",
"Standard Error 0.07446\n",
"Economy (GDP per Capita) 0.89537\n",
"Family 1.17202\n",
"Health (Life Expectancy) 0.66825\n",
"Freedom 0.57672\n",
"Trust (Government Corruption) 0.14234\n",
"Generosity 0.21684\n",
"Dystopia Residual 1.21305\n",
"Name: 97, dtype: object\n",
"Country Laos\n",
"Region Southeastern Asia\n",
"Happiness Rank 99\n",
"Happiness Score 4.876\n",
"Standard Error 0.06698\n",
"Economy (GDP per Capita) 0.59066\n",
"Family 0.73803\n",
"Health (Life Expectancy) 0.54909\n",
"Freedom 0.59591\n",
"Trust (Government Corruption) 0.24249\n",
"Generosity 0.42192\n",
"Dystopia Residual 1.73799\n",
"Name: 98, dtype: object\n",
"Country Mongolia\n",
"Region Eastern Asia\n",
"Happiness Rank 100\n",
"Happiness Score 4.874\n",
"Standard Error 0.03313\n",
"Economy (GDP per Capita) 0.82819\n",
"Family 1.3006\n",
"Health (Life Expectancy) 0.60268\n",
"Freedom 0.43626\n",
"Trust (Government Corruption) 0.02666\n",
"Generosity 0.3323\n",
"Dystopia Residual 1.34759\n",
"Name: 99, dtype: object\n",
"Country Swaziland\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 101\n",
"Happiness Score 4.867\n",
"Standard Error 0.08742\n",
"Economy (GDP per Capita) 0.71206\n",
"Family 1.07284\n",
"Health (Life Expectancy) 0.07566\n",
"Freedom 0.30658\n",
"Trust (Government Corruption) 0.0306\n",
"Generosity 0.18259\n",
"Dystopia Residual 2.48676\n",
"Name: 100, dtype: object\n",
"Country Greece\n",
"Region Western Europe\n",
"Happiness Rank 102\n",
"Happiness Score 4.857\n",
"Standard Error 0.05062\n",
"Economy (GDP per Capita) 1.15406\n",
"Family 0.92933\n",
"Health (Life Expectancy) 0.88213\n",
"Freedom 0.07699\n",
"Trust (Government Corruption) 0.01397\n",
"Generosity 0.0\n",
"Dystopia Residual 1.80101\n",
"Name: 101, dtype: object\n",
"Country Lebanon\n",
"Region Middle East and Northern Africa\n",
"Happiness Rank 103\n",
"Happiness Score 4.839\n",
"Standard Error 0.04337\n",
"Economy (GDP per Capita) 1.02564\n",
"Family 0.80001\n",
"Health (Life Expectancy) 0.83947\n",
"Freedom 0.33916\n",
"Trust (Government Corruption) 0.04582\n",
"Generosity 0.21854\n",
"Dystopia Residual 1.57059\n",
"Name: 102, dtype: object\n",
"Country Hungary\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 104\n",
"Happiness Score 4.8\n",
"Standard Error 0.06107\n",
"Economy (GDP per Capita) 1.12094\n",
"Family 1.20215\n",
"Health (Life Expectancy) 0.75905\n",
"Freedom 0.32112\n",
"Trust (Government Corruption) 0.02758\n",
"Generosity 0.128\n",
"Dystopia Residual 1.24074\n",
"Name: 103, dtype: object\n",
"Country Honduras\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 105\n",
"Happiness Score 4.788\n",
"Standard Error 0.05648\n",
"Economy (GDP per Capita) 0.59532\n",
"Family 0.95348\n",
"Health (Life Expectancy) 0.6951\n",
"Freedom 0.40148\n",
"Trust (Government Corruption) 0.06825\n",
"Generosity 0.23027\n",
"Dystopia Residual 1.84408\n",
"Name: 104, dtype: object\n",
"Country Tajikistan\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 106\n",
"Happiness Score 4.786\n",
"Standard Error 0.03198\n",
"Economy (GDP per Capita) 0.39047\n",
"Family 0.85563\n",
"Health (Life Expectancy) 0.57379\n",
"Freedom 0.47216\n",
"Trust (Government Corruption) 0.15072\n",
"Generosity 0.22974\n",
"Dystopia Residual 2.11399\n",
"Name: 105, dtype: object\n",
"Country Tunisia\n",
"Region Middle East and Northern Africa\n",
"Happiness Rank 107\n",
"Happiness Score 4.739\n",
"Standard Error 0.03589\n",
"Economy (GDP per Capita) 0.88113\n",
"Family 0.60429\n",
"Health (Life Expectancy) 0.73793\n",
"Freedom 0.26268\n",
"Trust (Government Corruption) 0.06358\n",
"Generosity 0.06431\n",
"Dystopia Residual 2.12466\n",
"Name: 106, dtype: object\n",
"Country Palestinian Territories\n",
"Region Middle East and Northern Africa\n",
"Happiness Rank 108\n",
"Happiness Score 4.715\n",
"Standard Error 0.04394\n",
"Economy (GDP per Capita) 0.59867\n",
"Family 0.92558\n",
"Health (Life Expectancy) 0.66015\n",
"Freedom 0.24499\n",
"Trust (Government Corruption) 0.12905\n",
"Generosity 0.11251\n",
"Dystopia Residual 2.04384\n",
"Name: 107, dtype: object\n",
"Country Bangladesh\n",
"Region Southern Asia\n",
"Happiness Rank 109\n",
"Happiness Score 4.694\n",
"Standard Error 0.03077\n",
"Economy (GDP per Capita) 0.39753\n",
"Family 0.43106\n",
"Health (Life Expectancy) 0.60164\n",
"Freedom 0.4082\n",
"Trust (Government Corruption) 0.12569\n",
"Generosity 0.21222\n",
"Dystopia Residual 2.51767\n",
"Name: 108, dtype: object\n",
"Country Iran\n",
"Region Middle East and Northern Africa\n",
"Happiness Rank 110\n",
"Happiness Score 4.686\n",
"Standard Error 0.04449\n",
"Economy (GDP per Capita) 1.0088\n",
"Family 0.54447\n",
"Health (Life Expectancy) 0.69805\n",
"Freedom 0.30033\n",
"Trust (Government Corruption) 0.05863\n",
"Generosity 0.38086\n",
"Dystopia Residual 1.6944\n",
"Name: 109, dtype: object\n",
"Country Ukraine\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 111\n",
"Happiness Score 4.681\n",
"Standard Error 0.04412\n",
"Economy (GDP per Capita) 0.79907\n",
"Family 1.20278\n",
"Health (Life Expectancy) 0.6739\n",
"Freedom 0.25123\n",
"Trust (Government Corruption) 0.02961\n",
"Generosity 0.15275\n",
"Dystopia Residual 1.5714\n",
"Name: 110, dtype: object\n",
"Country Iraq\n",
"Region Middle East and Northern Africa\n",
"Happiness Rank 112\n",
"Happiness Score 4.677\n",
"Standard Error 0.05232\n",
"Economy (GDP per Capita) 0.98549\n",
"Family 0.81889\n",
"Health (Life Expectancy) 0.60237\n",
"Freedom 0.0\n",
"Trust (Government Corruption) 0.13788\n",
"Generosity 0.17922\n",
"Dystopia Residual 1.95335\n",
"Name: 111, dtype: object\n",
"Country South Africa\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 113\n",
"Happiness Score 4.642\n",
"Standard Error 0.04585\n",
"Economy (GDP per Capita) 0.92049\n",
"Family 1.18468\n",
"Health (Life Expectancy) 0.27688\n",
"Freedom 0.33207\n",
"Trust (Government Corruption) 0.08884\n",
"Generosity 0.11973\n",
"Dystopia Residual 1.71956\n",
"Name: 112, dtype: object\n",
"Country Ghana\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 114\n",
"Happiness Score 4.633\n",
"Standard Error 0.04742\n",
"Economy (GDP per Capita) 0.54558\n",
"Family 0.67954\n",
"Health (Life Expectancy) 0.40132\n",
"Freedom 0.42342\n",
"Trust (Government Corruption) 0.04355\n",
"Generosity 0.23087\n",
"Dystopia Residual 2.30919\n",
"Name: 113, dtype: object\n",
"Country Zimbabwe\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 115\n",
"Happiness Score 4.61\n",
"Standard Error 0.0429\n",
"Economy (GDP per Capita) 0.271\n",
"Family 1.03276\n",
"Health (Life Expectancy) 0.33475\n",
"Freedom 0.25861\n",
"Trust (Government Corruption) 0.08079\n",
"Generosity 0.18987\n",
"Dystopia Residual 2.44191\n",
"Name: 114, dtype: object\n",
"Country Liberia\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 116\n",
"Happiness Score 4.571\n",
"Standard Error 0.11068\n",
"Economy (GDP per Capita) 0.0712\n",
"Family 0.78968\n",
"Health (Life Expectancy) 0.34201\n",
"Freedom 0.28531\n",
"Trust (Government Corruption) 0.06232\n",
"Generosity 0.24362\n",
"Dystopia Residual 2.77729\n",
"Name: 115, dtype: object\n",
"Country India\n",
"Region Southern Asia\n",
"Happiness Rank 117\n",
"Happiness Score 4.565\n",
"Standard Error 0.02043\n",
"Economy (GDP per Capita) 0.64499\n",
"Family 0.38174\n",
"Health (Life Expectancy) 0.51529\n",
"Freedom 0.39786\n",
"Trust (Government Corruption) 0.08492\n",
"Generosity 0.26475\n",
"Dystopia Residual 2.27513\n",
"Name: 116, dtype: object\n",
"Country Sudan\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 118\n",
"Happiness Score 4.55\n",
"Standard Error 0.0674\n",
"Economy (GDP per Capita) 0.52107\n",
"Family 1.01404\n",
"Health (Life Expectancy) 0.36878\n",
"Freedom 0.10081\n",
"Trust (Government Corruption) 0.1466\n",
"Generosity 0.19062\n",
"Dystopia Residual 2.20857\n",
"Name: 117, dtype: object\n",
"Country Haiti\n",
"Region Latin America and Caribbean\n",
"Happiness Rank 119\n",
"Happiness Score 4.518\n",
"Standard Error 0.07331\n",
"Economy (GDP per Capita) 0.26673\n",
"Family 0.74302\n",
"Health (Life Expectancy) 0.38847\n",
"Freedom 0.24425\n",
"Trust (Government Corruption) 0.17175\n",
"Generosity 0.46187\n",
"Dystopia Residual 2.24173\n",
"Name: 118, dtype: object\n",
"Country Congo (Kinshasa)\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 120\n",
"Happiness Score 4.517\n",
"Standard Error 0.0368\n",
"Economy (GDP per Capita) 0.0\n",
"Family 1.0012\n",
"Health (Life Expectancy) 0.09806\n",
"Freedom 0.22605\n",
"Trust (Government Corruption) 0.07625\n",
"Generosity 0.24834\n",
"Dystopia Residual 2.86712\n",
"Name: 119, dtype: object\n",
"Country Nepal\n",
"Region Southern Asia\n",
"Happiness Rank 121\n",
"Happiness Score 4.514\n",
"Standard Error 0.03607\n",
"Economy (GDP per Capita) 0.35997\n",
"Family 0.86449\n",
"Health (Life Expectancy) 0.56874\n",
"Freedom 0.38282\n",
"Trust (Government Corruption) 0.05907\n",
"Generosity 0.32296\n",
"Dystopia Residual 1.95637\n",
"Name: 120, dtype: object\n",
"Country Ethiopia\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 122\n",
"Happiness Score 4.512\n",
"Standard Error 0.0378\n",
"Economy (GDP per Capita) 0.19073\n",
"Family 0.60406\n",
"Health (Life Expectancy) 0.44055\n",
"Freedom 0.4345\n",
"Trust (Government Corruption) 0.15048\n",
"Generosity 0.24325\n",
"Dystopia Residual 2.44876\n",
"Name: 121, dtype: object\n",
"Country Sierra Leone\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 123\n",
"Happiness Score 4.507\n",
"Standard Error 0.07068\n",
"Economy (GDP per Capita) 0.33024\n",
"Family 0.95571\n",
"Health (Life Expectancy) 0.0\n",
"Freedom 0.4084\n",
"Trust (Government Corruption) 0.08786\n",
"Generosity 0.21488\n",
"Dystopia Residual 2.51009\n",
"Name: 122, dtype: object\n",
"Country Mauritania\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 124\n",
"Happiness Score 4.436\n",
"Standard Error 0.03947\n",
"Economy (GDP per Capita) 0.45407\n",
"Family 0.86908\n",
"Health (Life Expectancy) 0.35874\n",
"Freedom 0.24232\n",
"Trust (Government Corruption) 0.17461\n",
"Generosity 0.219\n",
"Dystopia Residual 2.11773\n",
"Name: 123, dtype: object\n",
"Country Kenya\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 125\n",
"Happiness Score 4.419\n",
"Standard Error 0.04734\n",
"Economy (GDP per Capita) 0.36471\n",
"Family 0.99876\n",
"Health (Life Expectancy) 0.41435\n",
"Freedom 0.42215\n",
"Trust (Government Corruption) 0.05839\n",
"Generosity 0.37542\n",
"Dystopia Residual 1.78555\n",
"Name: 124, dtype: object\n",
"Country Djibouti\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 126\n",
"Happiness Score 4.369\n",
"Standard Error 0.08096\n",
"Economy (GDP per Capita) 0.44025\n",
"Family 0.59207\n",
"Health (Life Expectancy) 0.36291\n",
"Freedom 0.46074\n",
"Trust (Government Corruption) 0.28105\n",
"Generosity 0.18093\n",
"Dystopia Residual 2.05125\n",
"Name: 125, dtype: object\n",
"Country Armenia\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 127\n",
"Happiness Score 4.35\n",
"Standard Error 0.04763\n",
"Economy (GDP per Capita) 0.76821\n",
"Family 0.77711\n",
"Health (Life Expectancy) 0.7299\n",
"Freedom 0.19847\n",
"Trust (Government Corruption) 0.039\n",
"Generosity 0.07855\n",
"Dystopia Residual 1.75873\n",
"Name: 126, dtype: object\n",
"Country Botswana\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 128\n",
"Happiness Score 4.332\n",
"Standard Error 0.04934\n",
"Economy (GDP per Capita) 0.99355\n",
"Family 1.10464\n",
"Health (Life Expectancy) 0.04776\n",
"Freedom 0.49495\n",
"Trust (Government Corruption) 0.12474\n",
"Generosity 0.10461\n",
"Dystopia Residual 1.46181\n",
"Name: 127, dtype: object\n",
"Country Myanmar\n",
"Region Southeastern Asia\n",
"Happiness Rank 129\n",
"Happiness Score 4.307\n",
"Standard Error 0.04351\n",
"Economy (GDP per Capita) 0.27108\n",
"Family 0.70905\n",
"Health (Life Expectancy) 0.48246\n",
"Freedom 0.44017\n",
"Trust (Government Corruption) 0.19034\n",
"Generosity 0.79588\n",
"Dystopia Residual 1.41805\n",
"Name: 128, dtype: object\n",
"Country Georgia\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 130\n",
"Happiness Score 4.297\n",
"Standard Error 0.04221\n",
"Economy (GDP per Capita) 0.7419\n",
"Family 0.38562\n",
"Health (Life Expectancy) 0.72926\n",
"Freedom 0.40577\n",
"Trust (Government Corruption) 0.38331\n",
"Generosity 0.05547\n",
"Dystopia Residual 1.59541\n",
"Name: 129, dtype: object\n",
"Country Malawi\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 131\n",
"Happiness Score 4.292\n",
"Standard Error 0.0613\n",
"Economy (GDP per Capita) 0.01604\n",
"Family 0.41134\n",
"Health (Life Expectancy) 0.22562\n",
"Freedom 0.43054\n",
"Trust (Government Corruption) 0.06977\n",
"Generosity 0.33128\n",
"Dystopia Residual 2.80791\n",
"Name: 130, dtype: object\n",
"Country Sri Lanka\n",
"Region Southern Asia\n",
"Happiness Rank 132\n",
"Happiness Score 4.271\n",
"Standard Error 0.03751\n",
"Economy (GDP per Capita) 0.83524\n",
"Family 1.01905\n",
"Health (Life Expectancy) 0.70806\n",
"Freedom 0.53726\n",
"Trust (Government Corruption) 0.09179\n",
"Generosity 0.40828\n",
"Dystopia Residual 0.67108\n",
"Name: 131, dtype: object\n",
"Country Cameroon\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 133\n",
"Happiness Score 4.252\n",
"Standard Error 0.04678\n",
"Economy (GDP per Capita) 0.4225\n",
"Family 0.88767\n",
"Health (Life Expectancy) 0.23402\n",
"Freedom 0.49309\n",
"Trust (Government Corruption) 0.05786\n",
"Generosity 0.20618\n",
"Dystopia Residual 1.95071\n",
"Name: 132, dtype: object\n",
"Country Bulgaria\n",
"Region Central and Eastern Europe\n",
"Happiness Rank 134\n",
"Happiness Score 4.218\n",
"Standard Error 0.04828\n",
"Economy (GDP per Capita) 1.01216\n",
"Family 1.10614\n",
"Health (Life Expectancy) 0.76649\n",
"Freedom 0.30587\n",
"Trust (Government Corruption) 0.00872\n",
"Generosity 0.11921\n",
"Dystopia Residual 0.89991\n",
"Name: 133, dtype: object\n",
"Country Egypt\n",
"Region Middle East and Northern Africa\n",
"Happiness Rank 135\n",
"Happiness Score 4.194\n",
"Standard Error 0.0326\n",
"Economy (GDP per Capita) 0.8818\n",
"Family 0.747\n",
"Health (Life Expectancy) 0.61712\n",
"Freedom 0.17288\n",
"Trust (Government Corruption) 0.06324\n",
"Generosity 0.11291\n",
"Dystopia Residual 1.59927\n",
"Name: 134, dtype: object\n",
"Country Yemen\n",
"Region Middle East and Northern Africa\n",
"Happiness Rank 136\n",
"Happiness Score 4.077\n",
"Standard Error 0.04367\n",
"Economy (GDP per Capita) 0.54649\n",
"Family 0.68093\n",
"Health (Life Expectancy) 0.40064\n",
"Freedom 0.35571\n",
"Trust (Government Corruption) 0.07854\n",
"Generosity 0.09131\n",
"Dystopia Residual 1.92313\n",
"Name: 135, dtype: object\n",
"Country Angola\n",
"Region Sub-Saharan Africa\n",
"Happiness Rank 137\n",
"Happiness Score 4.033\n",
"Standard Error 0.04758\n",
"Economy (GDP per Capita) 0.75778\n",
"Family 0.8604\n",
"Health (Life Expectancy) 0.16683\n",
"Freedom 0.10384\n",
"Trust (Government Corruption) 0.07122\n",
"Generosity 0.12344\n"
gitextract_lg8wj3x5/ ├── Admin/ │ ├── READMEexample.md │ └── Rough Class Schedule.md ├── Classwork/ │ ├── 01_AllTheStuffYouNeedToKnowPython.ipynb │ ├── 02_DebuggingBasics.ipynb │ ├── 02_PythonReview.ipynb │ ├── 03_AllTheStuffYouNeedToKnowMath.ipynb │ ├── 04_VisualizationI.ipynb │ ├── 05_VisualizationII.ipynb │ ├── 06_LinearRegressionI.ipynb │ ├── 07_LinearRegressionII.ipynb │ ├── 08_LinearRegressionIII_BiasVarianceTradeoff.ipynb │ ├── 09_LogisticRegressionI.ipynb │ ├── 10_LogisticRegressionII.ipynb │ ├── 11_TreeBasedModels.ipynb │ ├── 14_KNNAndNaiveBayes.ipynb │ ├── 15_Ethics.ipynb │ ├── 16_KMeans.ipynb │ ├── 17_GaussianMixtureModels.ipynb │ ├── 18_DBSCAN.ipynb │ ├── 19_HierarchicalClustering.ipynb │ ├── 20_PCA.ipynb │ └── 24_NeuralNetworks.ipynb ├── Data/ │ ├── 06_lin.csv │ ├── 06_nonlin.csv │ ├── 07_cw.csv │ ├── Beyonce_data.csv │ ├── BreastCancer.csv │ ├── CCfraud.csv │ ├── EmailFromChelsea.csv │ ├── GMM_Classwork_01.csv │ ├── GMM_Classwork_02.csv │ ├── GMM_Classwork_03.csv │ ├── GMM_Classwork_04.csv │ ├── GradAdmissions.csv │ ├── HAC1.csv │ ├── HW2.csv │ ├── HW3.csv │ ├── HW3_behavioral.csv │ ├── HW3_topics.csv │ ├── HW4_1.csv │ ├── HomeOwnership.csv │ ├── HomeOwnership2.csv │ ├── HufflePuff.csv │ ├── HufflePuffTEXT.csv │ ├── HufflePuffTEXT2.csv │ ├── IPODataFull.csv │ ├── KMEM1.csv │ ├── KMEM2.csv │ ├── KMEM3.csv │ ├── KMEM4.csv │ ├── KMEM5.csv │ ├── KMEM6.csv │ ├── KNNCompareSpotify.csv │ ├── KrispyKreme.csv │ ├── LeagueofLegends.csv │ ├── Lizzo_data.csv │ ├── McMenu.csv │ ├── MushroomData.ipynb │ ├── Music_data.csv │ ├── NN.csv │ ├── NN_test.csv │ ├── PalmerPenguinDataDownload.ipynb │ ├── Pokemon.csv │ ├── PopDivas_data.csv │ ├── Proj1.csv │ ├── SKP_fashion.csv │ ├── SKP_fashionBIG.csv │ ├── SKP_fashionNEW.csv │ ├── TaylorSwiftSpotify.csv │ ├── X_cols_df.csv │ ├── X_cols_df2.csv │ ├── YouTubeKidsVideo.csv │ ├── airport-screening.txt │ ├── all_players.csv │ ├── amazon-books.txt │ ├── avocado.csv │ ├── bis-bas-bart-syn-clean.csv │ ├── bis-bas-bart-syn-future.csv │ ├── boutique.csv │ ├── burger-king-items.txt │ ├── burgersOrPizza.csv │ ├── buyDress.csv │ ├── candy-bars.txt │ ├── catowner.csv │ ├── cereal.csv │ ├── debugging.csv │ ├── diabetes2.csv │ ├── fastfood_calories.csv │ ├── fellAsleep.csv │ ├── gpa.csv │ ├── heart.csv │ ├── heart_failure_clinical_records_dataset.csv │ ├── hearthstone_data.csv │ ├── heightWeight.csv │ ├── heightWeightBIG.csv │ ├── iris.csv │ ├── jobSuccess.csv │ ├── kc_house_data.csv │ ├── knnclasswork.csv │ ├── knnclasswork2.csv │ ├── made_purchase.csv │ ├── makeup.csv │ ├── office.csv │ ├── office_long.csv │ ├── pca0.csv │ ├── pca10.csv │ ├── pca11.csv │ ├── pca12.csv │ ├── pca5.csv │ ├── pca9.csv │ ├── pcaLogit.csv │ ├── penguins.csv │ ├── players_15.csv │ ├── prideAndPrejudice.txt │ ├── programmers.csv │ ├── programmers2.csv │ ├── programmers3.csv │ ├── purchase.csv │ ├── ramen-ratings.csv │ ├── reactionTime.csv │ ├── regX1.csv │ ├── regX2.csv │ ├── regX3.csv │ ├── regX4.csv │ ├── related.csv │ ├── spam.csv │ ├── spotifypandas.csv │ ├── streaming.csv │ ├── streamingFILMS.csv │ ├── streamingNEW.csv │ ├── telecom_churn.csv │ ├── testNB.csv │ ├── testperform.csv │ ├── testperform_long.csv │ ├── tests_and_grades.csv │ ├── unrelated.csv │ ├── wineLARGE.csv │ ├── winequality-red.csv │ ├── y_df.csv │ ├── y_df2.csv │ └── zillow_2016.csv ├── Extras/ │ ├── AltTextActivity.ipynb │ ├── AssumptionChecksWithModelVal.ipynb │ ├── BarChart-Reorder.ipynb │ ├── DoZScoresAffectLinearRegressionPerformance?.ipynb │ ├── DownloadingAsPDF.md │ ├── Downloads.ipynb │ ├── EigenFacesCodeCLASS.ipynb │ ├── EquivalenceOfHarshnessTerms.ipynb │ ├── ExtraneousCWCode/ │ │ └── validationcomplexitysim.py │ ├── GMMMath.ipynb │ ├── GradientDescent.html │ ├── LectureLinks/ │ │ └── KMeansandGMMApplicationLinks.ipynb │ ├── RVersions/ │ │ ├── Linear_Ridge_LASSO.ipynb │ │ ├── MethodsOfModelValidation.ipynb │ │ └── PrincipalComponentAnalysis.ipynb │ ├── SeabornVizVersions/ │ │ ├── Visualization I--Class 4_seaborn.ipynb │ │ └── Visualization II--Class 5_seaborn.ipynb │ ├── ShinyHangman.ipynb │ ├── SquidGameGlassBridge.ipynb │ ├── Test.qmd │ └── get_dummies.ipynb ├── FinalProject/ │ └── FinalProjectTemplate.qmd ├── Homework/ │ ├── HW1_SP24.ipynb │ ├── HW2_SP24.ipynb │ ├── HW3_FA23.ipynb │ └── MissedQuizMakeupAssignment.ipynb ├── Lectures/ │ └── LectureNotebooks/ │ ├── 01_AllTheStuffYouNeedToKnowPython.ipynb │ ├── 01_AllTheStuffYouNeedToKnowPython_BLANK.ipynb │ ├── 02_DebuggingBasics.ipynb │ ├── 04_VisualizationI.ipynb │ ├── 04_VisualizationI_BLANK.ipynb │ ├── 05_VisualizationII.ipynb │ └── 05_VisualizationII_BLANK.ipynb ├── README.md └── Syllabus.md
SYMBOL INDEX (3 symbols across 1 files) FILE: Extras/ExtraneousCWCode/validationcomplexitysim.py function TTSSim (line 39) | def TTSSim(X,y, contin): function KFSim (line 61) | def KFSim(X,y, contin): function LOOSim (line 89) | def LOOSim(X,y, contin):
Copy disabled (too large)
Download .json
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About this extraction
This page contains the full source code of the cmparlettpelleriti/CPSC392ParlettPelleriti GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 176 files (202.7 MB), approximately 13.7M tokens, and a symbol index with 3 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
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