Repository: GoogleChrome/CrUX Branch: main Commit: b62877a01a52 Files: 34 Total size: 1.0 MB Directory structure: gitextract_zxhgowfc/ ├── .github/ │ └── ISSUE_TEMPLATE/ │ └── new-crux-metric-request.md ├── CONTRIBUTING.md ├── LICENSE ├── README.md ├── colab/ │ ├── crux-history-api.ipynb │ └── navigation-types-and-lcp.ipynb ├── gs/ │ ├── README.md │ ├── crux-api.gs │ └── psi-api-v5.gs ├── js/ │ └── crux-api-util.js ├── sql/ │ ├── README.md │ ├── cls-summary.sql │ ├── core-web-vitals-compliance-rates.sql │ ├── core-web-vitals.sql │ ├── country-fast-fcp.sql │ ├── fast-fcp-for-domain.sql │ ├── global-connection-density.sql │ ├── global-device-density.sql │ ├── mastering-crux/ │ │ ├── 01-basic-cwv.sql │ │ ├── 02-timeseries-cwv.sql │ │ ├── 03-device-cwv.sql │ │ └── 04-country-cwv.sql │ ├── notification-permissions-origin-form-factor.sql │ ├── notification-permissions.sql │ ├── origins-for-domain.sql │ ├── p75-fcp-timeseries.sql │ ├── p75-fcp.sql │ ├── p75-lcp-country.sql │ ├── subregion-fast-fcp.sql │ ├── test-my-site.sql │ └── timeseries-fast-fcp.sql └── utils/ ├── countries.js ├── countries.json └── countries.txt ================================================ FILE CONTENTS ================================================ ================================================ FILE: .github/ISSUE_TEMPLATE/new-crux-metric-request.md ================================================ --- name: New CrUX metric request about: Tell us about a new metric you'd like to see included in the report title: '' labels: enhancement assignees: '' --- **Proposal** [What exactly is the metric you're proposing?] **Use cases** [How do you see this metric being useful in the dataset? Please list.] **Measurement** [How is the metric measured? Is it a web standard?] **Schema** [How will the data be represented in BigQuery? Sample schema below.] ``` "first_paint": { "histogram": { "bin": [ {"start": 0, "end": 100, "density": 0.003}, {"start": 100, "end": 200, "density": 0.014}, // … ] } } ``` ================================================ FILE: CONTRIBUTING.md ================================================ # How to Contribute We'd love to accept your patches and contributions to this project. There are just a few small guidelines you need to follow. ## Contributor License Agreement Contributions to this project must be accompanied by a Contributor License Agreement. You (or your employer) retain the copyright to your contribution; this simply gives us permission to use and redistribute your contributions as part of the project. Head over to to see your current agreements on file or to sign a new one. 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We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright [yyyy] [name of copyright owner] Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ================================================ FILE: README.md ================================================ # CrUX ![CrUX Logo](https://user-images.githubusercontent.com/1120896/55263154-74aa0a80-5246-11e9-96c3-5741f798f3aa.png) CrUX is the [Chrome User Experience Report](https://developer.chrome.com/docs/crux/) from Google. It measures the user experience of the web and makes the raw histogram data available on BigQuery and through APIs. This repository is a place for the web community to share queries, ideas, or issues. This is also a place to discover useful recipes for extracting insights from the CrUX dataset via [sql](./sql), [JavaScript to make API calls](./js), [AppScript](./gs), or [Colabs](./colab). If you have a recipe that you'd like to share, feel free to submit a pull request. We also encourage CrUX users to use GitHub issues to [ask questions](https://github.com/GoogleChrome/CrUX/issues/new?labels=question), [suggest new features](https://github.com/GoogleChrome/CrUX/issues/new?labels=enhancement), or [file bugs](https://github.com/GoogleChrome/CrUX/issues/new?labels=bug). This process complements the [Google Group](https://groups.google.com/a/chromium.org/forum/#!forum/chrome-ux-report). _This repository is not an officially supported Google product._ ================================================ FILE: colab/crux-history-api.ipynb ================================================ { "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "id": "pUbCORNfBNPw", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "outputId": "ad2c31d3-4db2-44ec-adb5-82efe2317d0f", "cellView": "form" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "

Displaying CrUX data for origin https://web.dev

" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "\n", " For each metric with histograms and percentiles, we display two graphs:\n", "
    \n", "
  • The percentile graph shows the p75 values for the metric over time.\n", " The shaded areas indicate good (light green),\n", " needs improvement (light orange), and poor (light red).\n", "
  • The tribin graph shows the percentages of page loads with\n", " a good, needs improvement, or poor user experience over time.\n", "
\n", " If the metric has labeled fractions, then we display these in a single\n", " stacked bar chart.\n", " In all cases, each point in time in the graph on the x axis\n", " represents a 28 day collection period ending in that date.\n", " " ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "

CLS (cumulative_layout_shift)

" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "Learn more at web.dev/cls/." ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/html": [ "\n", "
\n", "" ], "text/plain": [ "alt.LayerChart(...)" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/html": [ "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "

TTFB (experimental_time_to_first_byte)

" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "Learn more at web.dev/ttfb/." ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/html": [ "\n", "
\n", "" ], "text/plain": [ "alt.LayerChart(...)" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/html": [ "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "

FCP (first_contentful_paint)

" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "Learn more at web.dev/fcp/." ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/html": [ "\n", "
\n", "" ], "text/plain": [ "alt.LayerChart(...)" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/html": [ "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "

FID (first_input_delay)

" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "Learn more at web.dev/fid/." ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/html": [ "\n", "
\n", "" ], "text/plain": [ "alt.LayerChart(...)" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/html": [ "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "

form_factors

" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/html": [ "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "

INP (interaction_to_next_paint)

" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "Learn more at web.dev/inp/." ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/html": [ "\n", "
\n", "" ], "text/plain": [ "alt.LayerChart(...)" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/html": [ "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "

LCP (largest_contentful_paint)

" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "Learn more at web.dev/lcp/." ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/html": [ "\n", "
\n", "" ], "text/plain": [ "alt.LayerChart(...)" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/html": [ "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "metadata": {} } ], "source": [ "#@markdown # CRUX History API\n", "#@markdown Welcome to the CrUX History API. This Colab allows you to get time\n", "#@markdown series data from the Chrome User Experience Report (CrUX)\n", "#@markdown for specific origins and urls via the CrUX History API, and also get\n", "#@markdown you started making your own API requests. You can easily look under\n", "#@markdown the hood by clicking \"Show code\" at the end of this section.\n", "#@markdown\n", "#@markdown Please also see\n", "#@markdown * [the reference documentation](https://developer.chrome.com/docs/crux/history-api/)\n", "#@markdown * [our blog post](https://developer.chrome.com/blog/chrome-ux-report-history-api/)\n", "#@markdown * [the canonical version of this Colab](https://colab.research.google.com/github/GoogleChrome/CrUX/blob/main/colab/crux-history-api.ipynb)\n", "#@markdown * [the canonical source of this Colab](https://github.com/GoogleChrome/CrUX/blob/main/colab/crux-history-api.ipynb)\n", "#@markdown * [our discussion forum for praise, complaints, and questions](https://groups.google.com/a/chromium.org/g/chrome-ux-report)\n", "#@markdown\n", "#@markdown ## API key\n", "#@markdown To run this Colab, you'll need an API key. You can create one in the\n", "#@markdown [Credentials page](https://console.developers.google.com/apis/credentials)\n", "#@markdown and provision it for Chrome UX Report API usage. If you're making\n", "#@markdown your own requests, this key needs to be included in every request\n", "#@markdown with the `?key=` parameter, but in this Colab you can simply\n", "#@markdown enter it as CRUX_KEY in the next line. After that, press the play\n", "#@markdown button and the magic begins (it's OK to use the default Colab\n", "#@markdown runtime).\n", "CRUX_KEY = \"\" #@param {type: \"string\"}\n", "\n", "#@markdown Specify origin or url (not both).\n", "ORIGIN = \"https://web.dev\" #@param {type: \"string\"}\n", "URL = \"\" #@param {type: \"string\"}\n", "#@markdown Specify a form factor (phone, desktop, tablet) or all.\n", "FORM_FACTOR = \"ALL\" #@param [\"ALL\", \"PHONE\", \"DESKTOP\", \"TABLET\"]\n", "#@markdown Specify the metrics; if left blank, we'll report all metrics.\n", "METRICS = \"\" #@param {type:\"string\"}\n", "\n", "#@markdown What to include in the rendered output below?\n", "EMIT_GRAPHS = True #@param {type:\"boolean\"}\n", "EMIT_TABULAR_OUTPUT = False #@param {type:\"boolean\"}\n", "EMIT_REQUEST_RESPONSE = False #@param {type:\"boolean\"}\n", "\n", "\n", "import altair as alt\n", "import requests\n", "import pandas\n", "import json\n", "from typing import Any, Tuple, Dict, List\n", "from IPython import display\n", "from google.colab import data_table\n", "\n", "\n", "def get_crux_api_response_from_form() -> Tuple[Dict[str, str], Dict[str, Any]]:\n", " \"\"\"Based on the form data, makes a CrUX history request.\n", "\n", " The first return value is the request, the second is the parsed response.\n", " \"\"\"\n", " url = f'https://chromeuxreport.googleapis.com/v1/records:queryHistoryRecord?key={CRUX_KEY}'\n", " json_request = {}\n", " if URL:\n", " json_request['url'] = URL\n", " if ORIGIN:\n", " json_request['origin'] = ORIGIN\n", " if FORM_FACTOR != 'ALL':\n", " json_request['form_factor'] = FORM_FACTOR\n", " if METRICS:\n", " json_request['metrics'] = METRICS\n", " response = requests.post(url, json.dumps(json_request))\n", " return json_request, response.json()\n", "\n", "\n", "def short_name(metric: str) -> str:\n", " \"\"\"A short name for a metric name.\n", "\n", " In CrUX API responses, metric names are provided in snake case, e.g.,\n", " first_contentful_paint. This function computes the three or four letter\n", " shortname, e.g., FCP.\n", " \"\"\"\n", " short = ''.join([s[0].upper()\n", " for s in metric.split('_') if s != 'experimental'])\n", " return short if short != 'ITNP' else 'INP'\n", "\n", "\n", "def metrics_in(response: dict) -> List[str]:\n", " \"\"\"Returns the metric names in a CrUX API history response.\"\"\"\n", "\n", " metrics = list(response['record']['metrics'].keys())\n", " metrics.sort()\n", " return metrics\n", "\n", "\n", "def thresholds_by_metric(response: dict) -> Dict[str, Tuple[float, float]]:\n", " \"\"\"The thresholds by metric name.\n", "\n", " Key in the returned dict is a metric name, e.g. 'first_contentful_paint'.\n", " Value is a tuple of the low threshold, which separates 'good' from\n", " 'needs improvement', and the high threshold, which separates\n", " 'needs improvement' from 'poor'.\n", " \"\"\"\n", "\n", " result = {}\n", " for metric, data in response['record']['metrics'].items():\n", " if 'histogramTimeseries' not in data: continue\n", " result[metric] = (float(data['histogramTimeseries'][1]['start']),\n", " float(data['histogramTimeseries'][1]['end']))\n", " return result\n", "\n", "\n", "def dataframe_for(metric, response) -> pandas.DataFrame:\n", " \"\"\"Extracts the p75, histogram density, and fraction timeseries for a metric.\"\"\"\n", "\n", " timestamp = lambda e: pandas.Timestamp(e['year'], e['month'], e['day'])\n", " cols = {\n", " 'first_date': [timestamp(e['firstDate'])\n", " for e in response['record']['collectionPeriods']],\n", " 'last_date': [timestamp(e['lastDate'])\n", " for e in response['record']['collectionPeriods']],\n", " }\n", " data = response['record']['metrics'][metric]\n", " if 'fractionTimeseries' in data:\n", " for (label, value) in data['fractionTimeseries'].items():\n", " cols[label] = value['fractions']\n", " if 'percentilesTimeseries' in data:\n", " cols['p75'] = data['percentilesTimeseries']['p75s']\n", " if 'histogramTimeseries' in data:\n", " cols['good'] = data['histogramTimeseries'][0]['densities']\n", " cols['needs improvement'] = data['histogramTimeseries'][1]['densities']\n", " cols['poor'] = data['histogramTimeseries'][2]['densities']\n", " return pandas.DataFrame(cols)\n", "\n", "\n", "def url_normalization_details(response) -> str:\n", " \"\"\"Summarizes the URL normalization made by the API.\"\"\"\n", "\n", " if 'urlNormalizationDetails' not in response: return ''\n", " return 'URL was normalized from \"{originalUrl}\" to \"{normalizedUrl}\".'.format(\n", " **response['urlNormalizationDetails'])\n", "\n", "\n", "def display_header(label: str):\n", " \"\"\"Displays a header in the output.\"\"\"\n", " display.display(display.HTML(f'

{label}

'))\n", "\n", "\n", "def make_p75_chart(stats: pandas.DataFrame, metric: str,\n", " lo_threshold: float, hi_threshold: float) -> alt.Chart:\n", " \"\"\"Creates a P75 chart, displaying p75 data points per collection period.\n", "\n", " The P75 data points are the metric value along the y axis, the last_date\n", " of the collection time period is the x axis. Two horizontal\n", " lines separate good_range from ni_range (needs improvement) and\n", " from poor_range; these are rendered as areas in green / orange / red.\n", " For graphs that don't have 'poor' P75 values, no red area is rendered.\n", " \"\"\"\n", " p75_stats = stats[['last_date', 'p75']].melt(\n", " 'last_date', var_name='percentile', value_name=short_name(metric))\n", " good_range = alt.Chart(\n", " pandas.DataFrame({'y': [0], 'y2': [lo_threshold]})).mark_rect(\n", " color='green', opacity=0.2).encode(\n", " alt.Y('y', axis=alt.Axis(title=None)), y2='y2')\n", " ni_range = alt.Chart(\n", " pandas.DataFrame({'y': [lo_threshold], 'y2': [hi_threshold]})\n", " ).mark_rect(color='orange', opacity=0.2).encode(\n", " alt.Y('y', axis=alt.Axis(title=None)), y2='y2')\n", " ranges = good_range + ni_range\n", " max_p75 = float(pandas.to_numeric(stats['p75']).max())\n", " if max_p75 > hi_threshold: # Are there poor p75 values?\n", " poor_range = alt.Chart(\n", " pandas.DataFrame({'y': [hi_threshold],\n", " 'y2': [max_p75 * 1.1]})).mark_rect(\n", " color='red', opacity=0.2).encode(\n", " alt.Y('y',\n", " axis=alt.Axis(title=None)), y2='y2')\n", " ranges += poor_range\n", " p75_chart = ranges + alt.Chart(p75_stats).mark_line().encode(\n", " alt.X('last_date:T', axis=alt.Axis(title=None)),\n", " y=short_name(metric)+':Q', color='percentile:N')\n", " return p75_chart\n", "\n", "\n", "def make_tribin_chart(stats: pandas.DataFrame, metric: str,\n", " lo_threshold: float, hi_threshold : float) -> alt.Chart:\n", " \"\"\"A Tribin chart shows histogram bin density values in a stacked bar chart.\n", "\n", " The y axis is the percentage of page loads that fall into a user experience\n", " category (\"good\", \"needs improvement\", \"poor\"). The API returns\n", " NaN densities for missing data, which we map to 0.0 here so that these\n", " render as missing bars, since NaN can't be reasonably rendered on the y axis.\n", " \"\"\"\n", " good_label = f'good ({short_name(metric)} <= {lo_threshold})'\n", " ni_label = ('needs improvement '\n", " f'({lo_threshold} < {short_name(metric)} <= {hi_threshold})')\n", " poor_label = f'poor ({short_name(metric)} > {hi_threshold})'\n", " tribin_stats = stats[['last_date',\n", " 'good',\n", " 'needs improvement',\n", " 'poor']].melt(\n", " 'last_date', var_name=short_name(metric),\n", " value_name='pct').replace(\n", " {'good': good_label,\n", " 'needs improvement': ni_label,\n", " 'poor': poor_label,\n", " 'NaN': 0.0})\n", " tribin_chart = alt.Chart(tribin_stats).mark_bar().encode(\n", " alt.X('last_date:T', axis=alt.Axis(title=None)),\n", " alt.Y('sum(pct)', axis=alt.Axis(title=None, format='%')),\n", " color=alt.Color(\n", " short_name(metric), scale=alt.Scale(\n", " domain=[poor_label, ni_label, good_label],\n", " range=['red','orange', 'green'])),\n", " order=alt.Order(short_name(metric),\n", " sort='ascending')).configure_legend(\n", " labelLimit=300)\n", " return tribin_chart\n", "\n", "\n", "def make_fractions_chart(stats: pandas.DataFrame, metric: str) -> alt.Chart:\n", " \"\"\"A chart showing fraction timeseries in a stacked bar chart.\n", "\n", " The y axis is the fraction, adding up to 1.0. The API returns\n", " NaN densities for missing data, which we map to 0.0 here so that these\n", " render as missing bars, since NaN can't be reasonably rendered on the y axis.\n", " \"\"\"\n", " fraction_stats = stats[[e for e in stats.columns.values.tolist()\n", " if e != 'first_date']].melt(\n", " 'last_date', var_name=short_name(metric),\n", " value_name='pct').replace(\n", " {'NaN': 0.0})\n", " tribin_chart = alt.Chart(fraction_stats).mark_bar().encode(\n", " alt.X('last_date:T', axis=alt.Axis(title=None)),\n", " alt.Y('sum(pct)', axis=alt.Axis(title=None, format='%')),\n", " color=alt.Color(short_name(metric)),\n", " order=alt.Order(short_name(metric),\n", " sort='ascending')).configure_legend(labelLimit=300)\n", " return tribin_chart\n", "\n", "\n", "def display_metric_stats(metric: str, stats: pandas.DataFrame,\n", " lo_threshold:float, hi_threshold:float):\n", " \"\"\"For a specific metric, displays the requested stats (graphs, tabular).\"\"\"\n", " name = short_name(metric)\n", " display_header(f'{name} ({metric})')\n", " stats = dataframe_for(metric, response)\n", " web_dev_link = f'https://web.dev/{short_name(metric).lower()}/'\n", " web_dev_link_text = f'web.dev/{short_name(metric).lower()}/'\n", " display.display(display.HTML(\n", " 'Learn more at '\n", " f'{web_dev_link_text}.'))\n", "\n", " if EMIT_GRAPHS:\n", " display.display(make_p75_chart(stats, metric, lo_threshold, hi_threshold))\n", " display.display(make_tribin_chart(stats, metric, lo_threshold, hi_threshold))\n", "\n", " if EMIT_TABULAR_OUTPUT:\n", " display.display(data_table.DataTable(stats.round(4),\n", " min_width='100', include_index=False))\n", "\n", "\n", "def display_fraction_metric_stats(metric: str, stats: pandas.DataFrame):\n", " \"\"\"For a specific metric, displays the requested stats (graphs, tabular).\n", "\n", " This routine is specialized for fraction metrics, which don't have thresholds,\n", " tribins (histograms), or p75 timeseries. Instead, these metrics have labeled\n", " fractions for each timeseries entry, which add up to 1.0 (100%).\n", " \"\"\"\n", " display_header(f'{metric}')\n", " stats = dataframe_for(metric, response)\n", " if EMIT_GRAPHS:\n", " display.display(make_fractions_chart(stats, metric))\n", " if EMIT_TABULAR_OUTPUT:\n", " display.display(data_table.DataTable(stats.round(4),\n", " min_width='100', include_index=False))\n", "\n", "\n", "request, response = get_crux_api_response_from_form()\n", "if 'record' not in response:\n", " display_header('No record found in response!')\n", " EMIT_REQUEST_RESPONSE = True\n", "else:\n", " key = response['record']['key']\n", " identifier = ('url {url}'.format(**key) if 'url' in key\n", " else 'origin {origin}'.format(**key))\n", " form_factor = ' on {formFactor}'.format(**key) if 'formFactor' in key else ''\n", " display_header(f'Displaying CrUX data for {identifier}{form_factor}')\n", " display.display(display.HTML(url_normalization_details(response)))\n", " thresholds = thresholds_by_metric(response)\n", "\n", " if EMIT_GRAPHS:\n", " display.display(display.HTML(\"\"\"\n", " For each metric with histograms and percentiles, we display two graphs:\n", "
    \n", "
  • The percentile graph shows the p75 values for the metric over time.\n", " The shaded areas indicate good (light green),\n", " needs improvement (light orange), and poor (light red).\n", "
  • The tribin graph shows the percentages of page loads with\n", " a good, needs improvement, or poor user experience over time.\n", "
\n", " If the metric has labeled fractions, then we display these in a single\n", " stacked bar chart.\n", " In all cases, each point in time in the graph on the x axis\n", " represents a 28 day collection period ending in that date.\n", " \"\"\"))\n", "\n", " for metric in metrics_in(response):\n", " if metric in thresholds:\n", " lo_threshold, hi_threshold = thresholds[metric]\n", " display_metric_stats(metric, dataframe_for(metric, response),\n", " lo_threshold, hi_threshold)\n", " else:\n", " display_fraction_metric_stats(metric, dataframe_for(metric, response))\n", "\n", "if EMIT_REQUEST_RESPONSE:\n", " display_header('CrUX History API Request')\n", " json_str = json.dumps(request)\n", " display.display(display.HTML(f'
{json_str}
'))\n", "\n", " display_header('CrUX History API Response')\n", " json_str = json.dumps(response, indent=2)\n", " display.display(display.HTML(f'
{json_str}
'))" ] } ], "metadata": { "colab": { "provenance": [] }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { "name": "python" }, "gpuClass": "standard" }, "nbformat": 4, "nbformat_minor": 0 } ================================================ FILE: colab/navigation-types-and-lcp.ipynb ================================================ { "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "provenance": [] }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "13029d2bb5db4bc4b78d62ef18c7dc22": { "model_module": "@jupyter-widgets/controls", "model_name": "HBoxModel", "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", 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As a word of caution up front: corellation does not imply causation; we will be observing corellations here." ], "metadata": { "id": "lH27hqmfVuli" } }, { "cell_type": "code", "execution_count": 1, "metadata": { "id": "UY7w6lQpkCbH", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "35431d64-912a-44ae-fa63-f44f3e493386", "cellView": "form" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Authenticated\n" ] } ], "source": [ "#@title Authentication with Google Account and BigQuery Project\n", "\n", "from google.colab import auth\n", "from google.cloud import bigquery\n", "\n", "#@markdown To connect to BigQuery, it's necessary to authenticate with a Google Account.\n", "#@markdown Running this cell will trigger the authentication flow.\n", "auth.authenticate_user()\n", "\n", "#@markdown It's also required to provide a Google Cloud project that is used for BigQuery\n", "#@markdown billing purposes. This is described\n", "#@markdown [in our documentation](https://developer.chrome.com/docs/crux/bigquery#accessing_the_dataset_in_gcp).\n", "#@markdown We do recommend that you use\n", "#@markdown [cost controls](https://cloud.google.com/bigquery/docs/custom-quotas)\n", "#@markdown to avoid unexpected bills.\n", "BIGQUERY_PROJECT = \"\" # @param {type:\"string\"}\n", "\n", "print('Authenticated')" ] }, { "cell_type": "code", "source": [ "#@title Fetch the navigation_types fractions for form_factor phone the top 10k origins in CrUX by popularity\n", "#@markdown * We access the `202403` table here (see the `FROM`-clause), and filter\n", "#@markdown `form_factor` for 'phone' and select origins with [popularity rank](https://developer.chrome.com/blog/crux-rank-magnitude)\n", "#@markdown <= 10000 for the top 10k most popular origins (see the `WHERE`-clause).\n", "#@markdown * When querying the `navigation_types` metric in BigQuery, it's generally necessary\n", "#@markdown to divide by the total of the navigation_types fractions, as they will add up\n", "#@markdown per origin, but not per (origin, form factor) combination\n", "#@markdown or (origin, form_factor, effective_connection_type) combination.\n", "#@markdown * Not all origins will have `navigation_types`, so it's good practice\n", "#@markdown to use `SAVE_DIVIDE` (the top 1k origins have `navigation_types`, so\n", "#@markdown it would not be needed here).\n", "%%bigquery navigation_types_on_phone_for_top10k --project {BIGQUERY_PROJECT}\n", "WITH\n", " tmp AS (\n", " SELECT\n", " origin,\n", " SUM(navigation_types.navigate.fraction) AS navigate,\n", " SUM(navigation_types.navigate_cache.fraction) AS navigate_cache,\n", " SUM(navigation_types.reload.fraction) AS reload,\n", " SUM(navigation_types.restore.fraction) AS restore,\n", " SUM(navigation_types.back_forward.fraction) AS back_forward,\n", " SUM(navigation_types.back_forward_cache.fraction) AS back_forward_cache,\n", " SUM(navigation_types.prerender.fraction) AS prerender,\n", " SUM(navigation_types.navigate.fraction + navigation_types.navigate_cache.fraction + navigation_types.reload.fraction + navigation_types.restore.fraction + navigation_types.back_forward.fraction + navigation_types.back_forward_cache.fraction + navigation_types.prerender.fraction) AS total,\n", " FROM\n", " `google.com:chrome-ux-report-test.all.202403`\n", " WHERE\n", " experimental.popularity.rank <= 10000\n", " and form_factor.name = 'phone'\n", " GROUP BY\n", " origin)\n", "SELECT\n", " origin,\n", " ROUND(SAFE_DIVIDE(navigate, total), 4) AS navigate,\n", " ROUND(SAFE_DIVIDE(navigate_cache, total), 4) AS navigate_cache,\n", " ROUND(SAFE_DIVIDE(reload, total), 4) AS reload,\n", " ROUND(SAFE_DIVIDE(restore, total), 4) AS restore,\n", " ROUND(SAFE_DIVIDE(back_forward, total), 4) AS back_forward,\n", " ROUND(SAFE_DIVIDE(back_forward_cache, total), 4) AS back_forward_cache,\n", " ROUND(SAFE_DIVIDE(prerender, total), 4) AS prerender\n", "FROM\n", " tmp" ], "metadata": { "colab": { "height": 81, "referenced_widgets": [ "13029d2bb5db4bc4b78d62ef18c7dc22", "96418bcde70446f8853857b4646bc8e5", "0d8728fa4a3843d6b3c9bd674d54d24c", "0e071ff0c7a242eca5ee7a3f0045fa4e", "f2587b4dcb3c457eb793f93ab2c5d0d6", "fe1bf45170084868b80f982f5e3bbee6", "d5b463c1ada245819369b44fe4aa22e1", "ded72001a6ce467aad6725364b7aea4b", "9b8829caea1742c39aa7ae60a98003bb", "77fc71e9c7514f85a9bbdfa6f31f099f", "fea6cf64ef2a45389559f4c4f8a774ba", "99f4a9aaf0bb488fa1f11cb7bd476439", "89a4b5c25fb9428582b5c50e8503922c", "9f7ade8a251740fbb09374a1904a6122", "25c527de440b4190b782e5cbf2ba4220", "6ea1c147f71544ed9e02ff628261fed6", "1129703897fa4fada5321767607d78fe", "c8901ac1c97645859e35f4b093c44ba7", "5587965dba564434ae0a49c4771ffc72", "44f91b0223314ef1b7db93a5dfe88e67", "bc2e0968a05749d9ae9a364978af82c5", "36268dfb1d254b4a91bd0d395d4da925" ], "base_uri": "https://localhost:8080/" }, "id": "clPWIzgoQL0-", "outputId": "ce1b580a-6b4f-4763-8eb9-0a0db9e83b38" }, "execution_count": 2, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "Query is running: 0%| |" ], "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, "model_id": "13029d2bb5db4bc4b78d62ef18c7dc22" } }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "Downloading: 0%| |" ], "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, "model_id": "99f4a9aaf0bb488fa1f11cb7bd476439" } }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "#@title Fetch the fraction of instant and good LCP measurements for form_factor 'phone for the top 10k origins in CrUX by popularity\n", "#@markdown Below, we'll look at how some of the navigation_types fractions correlate with\n", "#@markdown the LCP measurements; so we extract here:\n", "#@markdown * instant_lcp_density - the fraction of page loads on a phone with LCP <= 200ms, for each\n", "#@markdown origin in the CrUX 10k set. This is quite fast, especially for a phone!\n", "#@markdown * good_lcp_density - the fraction of page loads on a phone with LCP <= 2500ms, for each\n", "#@markdown origin in the CrUX 10k set. 2500ms is the [documented threshold](https://web.dev/articles/lcp/) for\n", "#@markdown 'good' LCP. Origins and URLs that have at least 75% of their page loads\n", "#@markdown with LCP below this threshold are said to be 'passing' the [Core Web Vitals](https://web.dev/articles/vitals).\n", "%%bigquery lcp_densities_on_phone_for_top10k --project {BIGQUERY_PROJECT}\n", "SELECT\n", " origin,\n", " SUM(IF(lcp_bin.`end` <= 200, lcp_bin.density, 0)) / SUM(lcp_bin.density) AS instant_lcp_density,\n", " SUM(IF(lcp_bin.`end` <= 2500, lcp_bin.density, 0)) / SUM(lcp_bin.density) AS good_lcp_density\n", "FROM\n", " `google.com:chrome-ux-report-test.all.202403`,\n", " UNNEST(largest_contentful_paint.histogram.bin) AS lcp_bin\n", "WHERE\n", " experimental.popularity.rank <= 10000\n", " and form_factor.name = 'phone'\n", "GROUP BY\n", " origin" ], "metadata": { "colab": { "height": 81, "referenced_widgets": [ "6684744b41b54d12b0e5943d659cbe50", "3da1712bb69441e692c01d46188a21c1", "2666f64f0617456a944b53035d8f880b", "09cf2238c0554163a99d303160541504", "56aa7e70f8aa4005ab6f7868e8cc7e93", "f581ced1154e4f23ab56a32eb8b7471f", "fe7993973de94ca484fcf6e9084b4207", "0a3932c9fc8b4c31ad4f20d6e65f4cde", "14358de83cd24433a8843edd443ba3b2", "a0f9a6912d424970ad09b0846fa5d066", "241c615225e44f03814a7429cdc989c7", "d22a764db6844719afe231a26484cbf6", "87e4354cd6e340a99b16e8655305a131", "bb8642c71a474e99890ec97d844d5a8a", "d31b02be3389402f80e6b83058196116", "54a5bc6deb2e470d9aed5f0603a0b2ae", "62c6b5f253294b70925748df60b8f478", "bf9b2c3beab8498a9aa00ce61ab34167", "7c32ce97992a49bdb0c0373998172f87", "f7da92ec218044e2b7b3e3dfec1a41fb", "cfa27172055846f2a87b72e9998678df", "ea7f73dd3e944561a04d68da2fcc6a42" ], "base_uri": "https://localhost:8080/" }, "id": "gOlG3VaXRS63", "outputId": "24f3ff30-49eb-4391-e4e6-21fcecacd9c8" }, "execution_count": 4, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "Query is running: 0%| |" ], "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, "model_id": "6684744b41b54d12b0e5943d659cbe50" } }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "Downloading: 0%| |" ], "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, "model_id": "d22a764db6844719afe231a26484cbf6" } }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "#@title Join the navigation_types stats and the lcp_densities stats\n", "#@markdown We could have done this in BigQuery / SQL as well - it is a simple join\n", "#@markdown on the origin; we drop rows with n/a values.\n", "top10k_stats = navigation_types_on_phone_for_top10k.set_index('origin').join(\n", " lcp_densities_on_phone_for_top10k.set_index('origin'), on='origin').dropna()" ], "metadata": { "id": "qj6GhBhRT9Bf" }, "execution_count": 6, "outputs": [] }, { "cell_type": "code", "source": [ "#@title The fraction of pageloads served from the Back/forward cache strongly correlates with instant LCP (<=200ms)\n", "#@markdown * We're looking at the top10k origins in CrUX by popularity.\n", "#@markdown * We're looking at page loads on form factor PHONE.\n", "#@markdown * The x axis shows the fraction of pageloads served from the Back/forward cache (`back_forward_cache`).\n", "#@markdown * The y axis shows the fraction of pageloads with instant LCP (`instant_lcp_density`).\n", "#@markdown * We emit a scatterplot for these data, along with a regression line.\n", "#@markdown * We also show the [Pearson correlation coefficients](https://en.wikipedia.org/wiki/Pearson_correlation_coefficient)\n", "#@markdown between `back_forward_cache` ratio,\n", "#@markdown `instant_lcp_density` (LCP <= 200ms), and `good_lcp_density` (LCP <= 2500ms).\n", "#@markdown * We see a strong positive correlation ρ=0.867845\n", "#@markdown between Back/forward cache ratio and instant LCP density. There is also a positive\n", "#@markdown correlation ρ=0.28877 between Back/forward cache ratio and good LCP density.\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "plt.style.use('seaborn-v0_8-whitegrid')\n", "fig, ax = plt.subplots(figsize=(8, 8))\n", "ax.set_title('Measurements on PHONE for the top 10k origins by popularity in CrUX')\n", "ax.set_xlabel('Fraction of page loads served from Back/forward cache')\n", "ax.set_ylabel('Fraction of page loads with instant LCP')\n", "ax.plot(top10k_stats['back_forward_cache'], top10k_stats['instant_lcp_density'], '.', alpha=0.1)\n", "b, a = np.polyfit(top10k_stats['back_forward_cache'], top10k_stats['instant_lcp_density'], deg=1)\n", "xseq = np.linspace(0, top10k_stats['back_forward_cache'].max(), num=10)\n", "ax.plot(xseq, a+ b * xseq, color=\"k\", lw=2.5)\n", "\n", "top10k_stats[['back_forward_cache', 'instant_lcp_density', 'good_lcp_density']].corr()" ], "metadata": { "colab": { "height": 837, "base_uri": "https://localhost:8080/" }, "id": "t59C0GvlzYy0", "outputId": "fa88e4f5-cc38-4e26-8d7c-5f28fd431c1b" }, "execution_count": 7, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " back_forward_cache instant_lcp_density good_lcp_density\n", "back_forward_cache 1.000000 0.867845 0.28877\n", "instant_lcp_density 0.867845 1.000000 0.35064\n", "good_lcp_density 0.288770 0.350640 1.00000" ], "text/html": [ "\n", "
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\n" }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "#@title Correlation with good LCP is not quite as strong\n", "\n", "#@markdown * We're looking at the top10k origins in CrUX by popularity.\n", "#@markdown * We're looking at page loads on form factor PHONE.\n", "#@markdown * The x axis shows the fraction of pageloads served from the Back/forward cache (`back_forward_cache`).\n", "#@markdown * The y axis shows the fraction of pageloads with good LCP (`good_lcp_density`).\n", "#@markdown * We emit a scatterplot for these data.\n", "#@markdown * Back/forward cache helps with good LCP, but there are also other ways to\n", "#@markdown achieve a good LCP. This is why this figure looks more noisy than the one\n", "#@markdown with instant LCP; of course, instant LCP (<=200ms) is actually faster than\n", "#@markdown good LCP (<=2500ms), so the instant LCP picture is very encouraging\n", "#@markdown for the importance of Back/forward cache.\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "plt.style.use('seaborn-v0_8-whitegrid')\n", "fig, ax = plt.subplots(figsize=(8, 8))\n", "ax.set_title('Measurements on PHONE for the top 10k origins by popularity in CrUX')\n", "ax.set_xlabel('Fraction of page loads served from Back/forward cache')\n", "ax.set_ylabel('Fraction of page loads with good LCP')\n", "ax.plot(top10k_stats['back_forward_cache'], top10k_stats['good_lcp_density'], '.', alpha=0.1)\n" ], "metadata": { "colab": { "height": 728, "base_uri": "https://localhost:8080/" }, "id": "V8x6bed-1xPe", "outputId": "c523bc7d-561a-438c-aad7-961630b760ed" }, "execution_count": 8, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "[]" ] }, "metadata": {}, "execution_count": 8 }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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}, "metadata": {} } ] }, { "cell_type": "code", "source": [ "#@title Prerendering is not common enough on PHONE yet to see a strong correlation with loading performance\n", "\n", "#@markdown * We're looking at the top10k origins in CrUX by popularity.\n", "#@markdown * We're looking at page loads on form factor PHONE.\n", "#@markdown * The x axis shows the fraction of prerendered pageloads (`prerendered`).\n", "#@markdown * The y axis shows the fraction of pageloads with good LCP (`good_lcp_density`).\n", "#@markdown * We emit a scatterplot for these data.\n", "#@markdown * We also show the [Pearson correlation coefficients](https://en.wikipedia.org/wiki/Pearson_correlation_coefficient)\n", "#@markdown between `prerendered` ratio,\n", "#@markdown `instant_lcp_density` (LCP <= 200ms), and `good_lcp_density` (LCP <= 2500ms).\n", "#@markdown * We're not seeing a strong correlation between these variables; this could be because\n", "#@markdown for form_factor PHONE, the top10k origins have at most 12% of their pages prerendered thus far.\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "plt.style.use('seaborn-v0_8-whitegrid')\n", "fig, ax = plt.subplots(figsize=(8, 8))\n", "ax.set_title('Measurements on PHONE for the top 10k origins by popularity in CrUX')\n", "ax.set_xlabel('Fraction of prerendered page loads')\n", "ax.set_ylabel('Fraction of page loads with good LCP')\n", "ax.plot(top10k_stats['prerender'], top10k_stats['good_lcp_density'], '.', alpha=0.1)\n", "\n", "top10k_stats[['prerender', 'instant_lcp_density', 'good_lcp_density']].corr()" ], "metadata": { "colab": { "height": 837, "base_uri": "https://localhost:8080/" }, "cellView": "form", "id": "JAeL3sN1-7U3", "outputId": "cc8f866e-f6e7-43d7-b77a-01042aaae52e" }, "execution_count": 9, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " prerender instant_lcp_density good_lcp_density\n", "prerender 1.000000 -0.035178 -0.040279\n", "instant_lcp_density -0.035178 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\n" }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "#@title No strong correlation between disk cache and good LCP\n", "\n", "#@markdown * We're looking at the top10k origins in CrUX by popularity.\n", "#@markdown * We're looking at page loads on form factor PHONE.\n", "#@markdown * The x axis shows the fraction of pageloads (`navigate_cache`) with their main resource\n", "#@markdown served from the cache.\n", "#@markdown * The y axis shows the fraction of pageloads with good LCP (`good_lcp_density`).\n", "#@markdown * We emit a scatterplot for these data.\n", "#@markdown * We also show the [Pearson correlation coefficients](https://en.wikipedia.org/wiki/Pearson_correlation_coefficient)\n", "#@markdown between `navigate_cache` ratio,\n", "#@markdown `instant_lcp_density` (LCP <= 200ms), and `good_lcp_density` (LCP <= 2500ms).\n", "#@markdown * We're not seeing a strong correlation between these variables even though the plot may\n", "#@markdown suggest so to the human eye.\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "plt.style.use('seaborn-v0_8-whitegrid')\n", "fig, ax = plt.subplots(figsize=(8, 8))\n", "ax.set_title('Measurements on PHONE for the top 10k origins by popularity in CrUX')\n", "ax.set_xlabel('Fraction of page loads where the main resource came from Chrome\\'s disk cache')\n", "ax.set_ylabel('Fraction of page loads with good LCP')\n", "ax.plot(top10k_stats['navigate_cache'], top10k_stats['good_lcp_density'], '.', alpha=0.1)\n", "\n", "top10k_stats[['navigate_cache', 'instant_lcp_density', 'good_lcp_density']].corr()" ], "metadata": { "colab": { "height": 837, "base_uri": "https://localhost:8080/" }, "cellView": "form", "id": "GtHBvs_FDRJS", "outputId": "f50947d3-0551-4b98-86a2-efe9ef75db7e" }, "execution_count": 10, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " navigate_cache instant_lcp_density good_lcp_density\n", "navigate_cache 1.000000 0.011346 -0.105994\n", "instant_lcp_density 0.011346 1.000000 0.350640\n", "good_lcp_density -0.105994 0.350640 1.000000" ], "text/html": [ "\n", "
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\n" }, "metadata": {} } ] } ] } ================================================ FILE: gs/README.md ================================================ # Google Apps Script (.gs) Resources for using Apps Script to extract CrUX insights from the PageSpeed Insights API. See related article https://dev.to/chromiumdev/a-step-by-step-guide-to-monitoring-the-competition-with-the-chrome-ux-report-4k1o ================================================ FILE: gs/crux-api.gs ================================================ // Copyright 2020 Google LLC. // SPDX-License-Identifier: Apache-2.0 const URLs = [ 'https://web.dev/', 'https://web.dev/fast/', 'https://developers.google.com/web/' ]; const ORIGINS = [ 'https://web.dev', 'https://developers.google.com' ]; const FORM_FACTORS = [ 'DESKTOP', 'PHONE', 'ALL_FORM_FACTORS' ]; const CrUXApiUtil = {}; // Get your CrUX API key at https://goo.gle/crux-api-key. // Set your CrUX API key at File > Project properties > Script properties. CrUXApiUtil.API_KEY = PropertiesService.getScriptProperties().getProperty('CRUX_API_KEY'); CrUXApiUtil.API_ENDPOINT = `https://chromeuxreport.googleapis.com/v1/records:queryRecord?key=${CrUXApiUtil.API_KEY}`; CrUXApiUtil.query = function (requestBody) { if (!CrUXApiUtil.API_KEY) { throw 'Script property `CRUX_API_KEY` not set. Get a key at https://goo.gle/crux-api-key.'; } let response = UrlFetchApp.fetch(CrUXApiUtil.API_ENDPOINT, { method: 'POST', payload: requestBody }) response = JSON.parse(response.getContentText()); if (response.error) { throw `Error: ${response.error.message} ${JSON.stringify(requestBody, null, 2)}`; } return response; }; function monitor() { FORM_FACTORS.forEach(function(formFactor) { URLs.forEach(function(url) { getCrUXData('url', url, formFactor); }); ORIGINS.forEach(function(origin) { getCrUXData('origin', origin, formFactor); }); }); } function getCrUXData(key, value, formFactor) { const response = callAPI({ [key]: value, formFactor }); if (!response) { return; } const lcp = getMetricData(response.record.metrics.largest_contentful_paint); const inp = getMetricData(response.record.metrics.interaction_to_next_paint); const cls = getMetricData(response.record.metrics.cumulative_layout_shift); addRow(value, formFactor, lcp.good, lcp.ni, lcp.poor, lcp.p75, inp.good, inp.ni, inp.poor, inp.p75, cls.good, cls.ni, cls.poor, cls.p75); } function callAPI(request) { try { return CrUXApiUtil.query(request); } catch (error) { console.error(error); } } function getMetricData(metric) { if (!metric) { return {}; } return { good: metric.histogram[0].density, ni: metric.histogram[1].density, poor: metric.histogram[2].density, p75: metric.percentiles.p75 }; } function addRow(...args) { const spreadsheet = SpreadsheetApp.getActiveSpreadsheet(); const sheet = spreadsheet.getActiveSheet(); sheet.appendRow([ Utilities.formatDate(new Date(), 'GMT', 'yyyy-MM-dd'), ...args ]); } ================================================ FILE: gs/psi-api-v5.gs ================================================ // Copyright 2020 Google LLC. // SPDX-License-Identifier: Apache-2.0 // Example of Google Apps Script code that connects a Sheet with the PSI v5 API. // Make a copy of this sheet to get started: https://docs.google.com/spreadsheets/d/1mFWe_KbO8_MevyzrDyULbB3SQqXiciKlzWJfmyUBneU/edit?usp=sharing var scriptProperties = PropertiesService.getScriptProperties(); var pageSpeedApiKey = scriptProperties.getProperty('PSI_API_KEY'); var pageSpeedMonitorUrls = [ 'https://www.nytimes.com', 'https://www.washingtonpost.com' ]; function monitor() { for (var i = 0; i < pageSpeedMonitorUrls.length; i++) { var url = pageSpeedMonitorUrls[i]; var desktop = callPageSpeed(url, 'desktop'); var mobile = callPageSpeed(url, 'mobile'); addRow(url, desktop, mobile); } } function callPageSpeed(url, strategy) { var pageSpeedUrl = 'https://www.googleapis.com/pagespeedonline/v5/runPagespeed?url=' + url + '&fields=originLoadingExperience&key=' + pageSpeedApiKey + '&strategy=' + strategy; var response = UrlFetchApp.fetch(pageSpeedUrl); var json = response.getContentText(); return JSON.parse(json); } function addRow(url, desktop, mobile) { var spreadsheet = SpreadsheetApp.getActiveSpreadsheet(); var date = Utilities.formatDate(new Date(), 'GMT', 'yyyy-MM-dd'); var sheet = spreadsheet.getSheetByName('Desktop'); sheet.appendRow([ date, url, getFastFCP(desktop), getFastINP(desktop) ]); sheet = spreadsheet.getSheetByName('Mobile'); sheet.appendRow([ date, url, getFastFCP(mobile), getFastINP(mobile) ]); } function getFastFCP(data) { return data.originLoadingExperience.metrics.FIRST_CONTENTFUL_PAINT_MS.distributions[0].proportion; } function getFastINP(data) { return data.originLoadingExperience.metrics.INTERACTION_TO_NEXT_PAINT_MS.distributions[0].proportion; } ================================================ FILE: js/crux-api-util.js ================================================ // Copyright 2020 Google LLC. // SPDX-License-Identifier: Apache-2.0 const CrUXApiUtil = {}; // Get your CrUX API key at https://goo.gle/crux-api-key. CrUXApiUtil.API_KEY = '[YOUR_API_KEY]'; CrUXApiUtil.API_HOST = 'https://chromeuxreport.googleapis.com'; CrUXApiUtil.HISTORY_API_ENDPOINT_PATH = `/v1/records:queryHistoryRecord?key=${CrUXApiUtil.API_KEY}`; CrUXApiUtil.HISTORY_API_ENDPOINT = `${CrUXApiUtil.API_HOST}${CrUXApiUtil.HISTORY_API_ENDPOINT_PATH}`; CrUXApiUtil.API_ENDPOINT_PATH = `/v1/records:queryRecord?key=${CrUXApiUtil.API_KEY}`; CrUXApiUtil.API_ENDPOINT = `${CrUXApiUtil.API_HOST}${CrUXApiUtil.API_ENDPOINT_PATH}`; CrUXApiUtil.API_BATCH_ENDPOINT = `${CrUXApiUtil.API_HOST}/batch/`; CrUXApiUtil.query = function (requestBody) { if (CrUXApiUtil.API_KEY == '[YOUR_API_KEY]') { throw 'Replace "YOUR_API_KEY" with your private CrUX API key. Get a key at https://goo.gle/crux-api-key.'; } return fetch(CrUXApiUtil.API_ENDPOINT, { method: 'POST', body: JSON.stringify(requestBody) }).then(response => response.json()).then(response => { if (response.error) { return Promise.reject(response); } return response; }); }; CrUXApiUtil.queryHistory = function (requestBody) { if (CrUXApiUtil.API_KEY == '[YOUR_API_KEY]') { throw 'Replace "YOUR_API_KEY" with your private CrUX API key. Get a key at https://goo.gle/crux-api-key.'; } return fetch(CrUXApiUtil.HISTORY_API_ENDPOINT, { method: 'POST', body: JSON.stringify(requestBody) }).then(response => response.json()).then(response => { if (response.error) { return Promise.reject(response); } return response; }); }; CrUXApiUtil.batch = function (requests) { if (CrUXApiUtil.API_KEY == '[YOUR_API_KEY]') { throw 'Replace "YOUR_API_KEY" with your private CrUX API key. Get a key at https://goo.gle/crux-api-key.'; } const BOUNDARY = 'BATCH_BOUNDARY'; return fetch(CrUXApiUtil.API_BATCH_ENDPOINT, { method: 'POST', headers: { 'Content-Type': `multipart/mixed; boundary="${BOUNDARY}"` }, body: `--${BOUNDARY}\n` + requests.map((requestBody, i) => { return ` POST ${CrUXApiUtil.API_ENDPOINT_PATH} HTTP/1.1 Content-ID: crux-${i} Content-Type: application/json ${JSON.stringify(requestBody)}`; }).join(`\n\n--${BOUNDARY}\n`) + `\n\n--${BOUNDARY}--` }).then(response => { const contentTypeHeader = response.headers.get('Content-Type'); const boundaryPattern = /\bboundary=([\w-]+)\b/i; if (!boundaryPattern.test(contentTypeHeader)) { throw `Unable to parse boundary directive from Content-Type response header: "${contentTypeHeader}"`; } const boundary = contentTypeHeader.match(boundaryPattern)[1]; return Promise.all([ Promise.resolve(boundary), response.text() ]); }).then(([boundary, response]) => { const responseParts = response.split(`--${boundary}`); // Eject boundary bookends responseParts.shift(); responseParts.pop(); const responseJSONPattern = /\n({[\s\S]*)/m; return responseParts.map(part => { if (!responseJSONPattern.test(part)) { console.error(`Unable to parse CrUX API response from:\n${response}`); return null; } return JSON.parse(part.match(responseJSONPattern)[1]); }); }); } ================================================ FILE: sql/README.md ================================================ # CrUX Cookbook Recipes for extracting insights from the [Chrome User Experience Report](https://developers.google.com/web/tools/chrome-user-experience-report/) (CrUX). ## Guided Tour of CrUX 1. [Counting the number of distinct origins](https://console.cloud.google.com/bigquery?sq=920398604589:a3f1c0c2440f481b9cf7ddb082726f50) 2. [Searching for origins by their domain](https://console.cloud.google.com/bigquery?sq=920398604589:15e6809044844a638d24fdcfef2fd690) 3. [Generating First Contentful Paint (FCP) histogram data for an origin](https://console.cloud.google.com/bigquery?sq=920398604589:b7493f9a2d21445db152ee9fac8cbbde) - [visualizing the histogram](https://docs.google.com/spreadsheets/d/1oFpRt3dJJqHr6dMEotzIcS289wXDgXAuS6Qnn2hYCjE/edit?usp=sharing) ![image](https://user-images.githubusercontent.com/1120896/37489729-eed49ec2-286e-11e8-9ae2-6f5da4ac8af8.png) 4. [Generating FCP histograms for each device](https://console.cloud.google.com/bigquery?sq=920398604589:3ae19b10ebfa4845bb67ce14feec0b8a) - [visualizing the histograms](https://docs.google.com/spreadsheets/d/1oFpRt3dJJqHr6dMEotzIcS289wXDgXAuS6Qnn2hYCjE/edit#gid=1947313197) ![image](https://user-images.githubusercontent.com/1120896/37489766-0fe6eca0-286f-11e8-8aac-0b3109ebf7f8.png) 5. [Measuring proportion of device usage](https://console.cloud.google.com/bigquery?sq=920398604589:0d8c9393198b48d6892cc209fbc2b131) - [Measuring proportion of connection usage](https://console.cloud.google.com/bigquery?sq=920398604589:08a5b022fb6740aba0fc3ad818169146) - [Measuring proportion of device and connection usage](https://console.cloud.google.com/bigquery?sq=920398604589:da87c0f06bf8488b83735271ddbba0ef) 6. [Generating FCP histogram with normalized bin widths](https://console.cloud.google.com/bigquery?sq=920398604589:52cfec3eb5794f26833f1cb7636a764f) - [visualizing the histogram](https://docs.google.com/spreadsheets/d/1oFpRt3dJJqHr6dMEotzIcS289wXDgXAuS6Qnn2hYCjE/edit#gid=1214287754) ![image](https://user-images.githubusercontent.com/1120896/37489793-23c2cece-286f-11e8-884d-485c131c5245.png) 7. [Generating timeseries of competitors' fast FCP](https://console.cloud.google.com/bigquery?sq=920398604589:75c646a625544b6f8e76b7b017dca80c) - [visualizing the timeseries](https://docs.google.com/spreadsheets/d/1oFpRt3dJJqHr6dMEotzIcS289wXDgXAuS6Qnn2hYCjE/edit#gid=208026229) ![image](https://user-images.githubusercontent.com/1120896/37489812-341cc2a2-286f-11e8-9277-e7d136fcdf4e.png) ## Contributing Pull requests welcome! - See [CONTRIBUTING.md](CONTRIBUTING.md) - Standard SQL preferred - Match formatting of existing recipes ("Format Query" on BigQuery doesn't always look good) - Name your recipe using descriptive keywords (eg `median-fcp.sql`) - Use lots of comments whenever needed to help users understand what you're doing, why you're doing it that way, and any limitations of your approach - Queries that consume 10+ GB must be noted in the comments - Assign PR to @rviscomi for review ================================================ FILE: sql/cls-summary.sql ================================================ #standardSQL # This query only processes 117.5 MB because it uses the materialized dataset! SELECT p75_cls, small_cls AS good, medium_cls AS needs_improvement, large_cls AS poor FROM `chrome-ux-report.materialized.metrics_summary` WHERE yyyymm = 202003 AND origin = 'https://web.dev' ================================================ FILE: sql/core-web-vitals-compliance-rates.sql ================================================ #standardSQL # Calculate the percent of origins that comply with each Core Web Vital's "good" threshold for 75% or more of experiences. # The pct_good_cwv_2024 calculation reflects INP replacing FID in 2024 (see https://web.dev/blog/inp-cwv-march-12)> CREATE TEMP FUNCTION IS_GOOD (good FLOAT64, needs_improvement FLOAT64, poor FLOAT64) RETURNS BOOL AS ( good / (good + needs_improvement + poor) >= 0.75 ); CREATE TEMP FUNCTION IS_NON_ZERO (good FLOAT64, needs_improvement FLOAT64, poor FLOAT64) RETURNS BOOL AS ( good + needs_improvement + poor > 0 ); CREATE TEMP FUNCTION IS_MISSING (good FLOAT64, needs_improvement FLOAT64, poor FLOAT64) RETURNS BOOL AS ( good is NULL and needs_improvement is NULL and poor is NULL ); SELECT SAFE_DIVIDE( COUNT(DISTINCT IF(IS_GOOD(fast_lcp, avg_lcp, slow_lcp), origin, NULL)), COUNT(DISTINCT IF(IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp), origin, NULL))) AS pct_good_lcp, # Origins with good FID divided by origins with any FID. SAFE_DIVIDE( COUNT(DISTINCT IF(IS_GOOD(fast_fid, avg_fid, slow_fid), origin, NULL)), COUNT(DISTINCT IF(IS_NON_ZERO(fast_fid, avg_fid, slow_fid), origin, NULL))) AS pct_good_fid, # Origins with good INP divided by origins with any INP. SAFE_DIVIDE( COUNT(DISTINCT IF(IS_GOOD(fast_inp, avg_inp, slow_inp), origin, NULL)), COUNT(DISTINCT IF(IS_NON_ZERO(fast_inp, avg_inp, slow_inp), origin, NULL))) AS pct_good_inp, # Origins with good CLS divided by origins with any CLS. SAFE_DIVIDE( COUNT(DISTINCT IF(IS_GOOD(small_cls, medium_cls, large_cls), origin, NULL)), COUNT(DISTINCT IF(IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL))) AS pct_good_cls, # Origins with good LCP, FID (optional), and CLS divided by origins with any LCP and CLS. SAFE_DIVIDE( COUNT(DISTINCT IF( IS_GOOD(fast_lcp, avg_lcp, slow_lcp) AND (IS_GOOD(fast_fid, avg_fid, slow_fid) OR IS_MISSING(fast_fid, avg_fid, slow_fid)) AND IS_GOOD(small_cls, medium_cls, large_cls), origin, NULL)), COUNT(DISTINCT IF( IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp) AND IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL))) AS pct_good_cwv, # Origins with good LCP, INP (optional), and CLS divided by origins with any LCP and CLS. SAFE_DIVIDE( COUNT(DISTINCT IF( IS_GOOD(fast_lcp, avg_lcp, slow_lcp) AND (IS_GOOD(fast_inp, avg_inp, slow_inp) OR IS_MISSING(fast_inp, avg_inp, slow_inp)) AND IS_GOOD(small_cls, medium_cls, large_cls), origin, NULL)), COUNT(DISTINCT IF( IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp) AND IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL))) AS pct_good_cwv_2024 FROM `chrome-ux-report.materialized.metrics_summary` WHERE date = '2024-01-01' ================================================ FILE: sql/core-web-vitals.sql ================================================ # Query the Core Web Vitals for an origin. # This query only consumes 43 MB! :) SELECT # Largest Contentful Paint # good < 2500ms, poor >= 4000ms p75_lcp, fast_lcp AS good_lcp, avg_lcp AS needs_improvement_lcp, slow_lcp AS poor_lcp, # Interaction to Next Paint # good < 200ms, poor >= 500ms p75_inp, fast_inp AS good_inp, avg_inp AS needs_improvement_inp, slow_inp AS poor_inp, # Cumulative Layout Shift # good < 0.10, poor >= 0.25 p75_cls, small_cls AS good_cls, medium_cls AS needs_improvement_cls, large_cls AS poor_cls FROM `chrome-ux-report.materialized.metrics_summary` WHERE # metrics_summary is partitioned by date, YYYY-MM-01. date = '2025-03-01' AND origin = 'https://web.dev' ================================================ FILE: sql/country-fast-fcp.sql ================================================ #standardSQL # Create a `countries` alias that annotates each country's data with the corresponding country name and country code. # This query consumes 65.6 GB. WITH countries AS ( SELECT *, 'ad' AS country_code, 'Andorra' AS country FROM `chrome-ux-report.country_ad.201808` UNION ALL SELECT *, 'ae' AS country_code, 'United Arab Emirates' AS country FROM `chrome-ux-report.country_ae.201808` UNION ALL SELECT *, 'af' AS country_code, 'Afghanistan' AS country FROM `chrome-ux-report.country_af.201808` UNION ALL SELECT *, 'ag' AS country_code, 'Antigua and Barbuda' AS country FROM `chrome-ux-report.country_ag.201808` UNION ALL SELECT *, 'ai' AS country_code, 'Anguilla' AS country FROM `chrome-ux-report.country_ai.201808` UNION ALL SELECT *, 'al' AS country_code, 'Albania' AS country FROM `chrome-ux-report.country_al.201808` UNION ALL SELECT *, 'am' AS country_code, 'Armenia' AS country FROM `chrome-ux-report.country_am.201808` UNION ALL SELECT *, 'ao' AS country_code, 'Angola' AS country FROM `chrome-ux-report.country_ao.201808` UNION ALL SELECT *, 'ar' AS country_code, 'Argentina' AS country FROM `chrome-ux-report.country_ar.201808` UNION ALL SELECT *, 'as' AS country_code, 'American Samoa' AS country FROM `chrome-ux-report.country_as.201808` UNION ALL SELECT *, 'at' AS country_code, 'Austria' AS country FROM `chrome-ux-report.country_at.201808` UNION ALL SELECT *, 'au' AS country_code, 'Australia' AS country FROM `chrome-ux-report.country_au.201808` UNION ALL SELECT *, 'aw' AS country_code, 'Aruba' AS country FROM `chrome-ux-report.country_aw.201808` UNION ALL SELECT *, 'ax' AS country_code, 'Åland Islands' AS country FROM `chrome-ux-report.country_ax.201808` UNION ALL SELECT *, 'az' AS country_code, 'Azerbaijan' AS country FROM `chrome-ux-report.country_az.201808` UNION ALL SELECT *, 'ba' AS country_code, 'Bosnia and Herzegovina' AS country FROM `chrome-ux-report.country_ba.201808` UNION ALL SELECT *, 'bb' AS country_code, 'Barbados' AS country FROM `chrome-ux-report.country_bb.201808` UNION ALL SELECT *, 'bd' AS country_code, 'Bangladesh' AS country FROM `chrome-ux-report.country_bd.201808` UNION ALL SELECT *, 'be' AS country_code, 'Belgium' AS country FROM `chrome-ux-report.country_be.201808` UNION ALL SELECT *, 'bf' AS country_code, 'Burkina Faso' AS country FROM `chrome-ux-report.country_bf.201808` UNION ALL SELECT *, 'bg' AS country_code, 'Bulgaria' AS country FROM `chrome-ux-report.country_bg.201808` UNION ALL SELECT *, 'bh' AS country_code, 'Bahrain' AS country FROM `chrome-ux-report.country_bh.201808` UNION ALL SELECT *, 'bi' AS country_code, 'Burundi' AS country FROM `chrome-ux-report.country_bi.201808` UNION ALL SELECT *, 'bj' AS country_code, 'Benin' AS country FROM `chrome-ux-report.country_bj.201808` UNION ALL SELECT *, 'bl' AS country_code, 'Saint Barthélemy' AS country FROM `chrome-ux-report.country_bl.201808` UNION ALL SELECT *, 'bm' AS country_code, 'Bermuda' AS country FROM `chrome-ux-report.country_bm.201808` UNION ALL SELECT *, 'bn' AS country_code, 'Brunei Darussalam' AS country FROM `chrome-ux-report.country_bn.201808` UNION ALL SELECT *, 'bo' AS country_code, 'Bolivia (Plurinational State of)' AS country FROM `chrome-ux-report.country_bo.201808` UNION ALL SELECT *, 'bq' AS country_code, 'Bonaire, Sint Eustatius and Saba' AS country FROM `chrome-ux-report.country_bq.201808` UNION ALL SELECT *, 'br' AS country_code, 'Brazil' AS country FROM `chrome-ux-report.country_br.201808` UNION ALL SELECT *, 'bs' AS country_code, 'Bahamas' AS country FROM `chrome-ux-report.country_bs.201808` UNION ALL SELECT *, 'bt' AS country_code, 'Bhutan' AS country FROM `chrome-ux-report.country_bt.201808` UNION ALL SELECT *, 'bw' AS country_code, 'Botswana' AS country FROM `chrome-ux-report.country_bw.201808` UNION ALL SELECT *, 'by' AS country_code, 'Belarus' AS country FROM `chrome-ux-report.country_by.201808` UNION ALL SELECT *, 'bz' AS country_code, 'Belize' AS country FROM `chrome-ux-report.country_bz.201808` UNION ALL SELECT *, 'ca' AS country_code, 'Canada' AS country FROM `chrome-ux-report.country_ca.201808` UNION ALL SELECT *, 'cd' AS country_code, 'Congo (Democratic Republic of the)' AS country FROM `chrome-ux-report.country_cd.201808` UNION ALL SELECT *, 'cf' AS country_code, 'Central African Republic' AS country FROM `chrome-ux-report.country_cf.201808` UNION ALL SELECT *, 'cg' AS country_code, 'Congo' AS country FROM `chrome-ux-report.country_cg.201808` UNION ALL SELECT *, 'ch' AS country_code, 'Switzerland' AS country FROM `chrome-ux-report.country_ch.201808` UNION ALL SELECT *, 'ci' AS country_code, 'Côte d\'Ivoire' AS country FROM `chrome-ux-report.country_ci.201808` UNION ALL SELECT *, 'ck' AS country_code, 'Cook Islands' AS country FROM `chrome-ux-report.country_ck.201808` UNION ALL SELECT *, 'cl' AS country_code, 'Chile' AS country FROM `chrome-ux-report.country_cl.201808` UNION ALL SELECT *, 'cm' AS country_code, 'Cameroon' AS country FROM `chrome-ux-report.country_cm.201808` UNION ALL SELECT *, 'cn' AS country_code, 'China' AS country FROM `chrome-ux-report.country_cn.201808` UNION ALL SELECT *, 'co' AS country_code, 'Colombia' AS country FROM `chrome-ux-report.country_co.201808` UNION ALL SELECT *, 'cr' AS country_code, 'Costa Rica' AS country FROM `chrome-ux-report.country_cr.201808` UNION ALL SELECT *, 'cu' AS country_code, 'Cuba' AS country FROM `chrome-ux-report.country_cu.201808` UNION ALL SELECT *, 'cv' AS country_code, 'Cabo Verde' AS country FROM `chrome-ux-report.country_cv.201808` UNION ALL SELECT *, 'cw' AS country_code, 'Curaçao' AS country FROM `chrome-ux-report.country_cw.201808` UNION ALL SELECT *, 'cx' AS country_code, 'Christmas Island' AS country FROM `chrome-ux-report.country_cx.201808` UNION ALL SELECT *, 'cy' AS country_code, 'Cyprus' AS country FROM `chrome-ux-report.country_cy.201808` UNION ALL SELECT *, 'cz' AS country_code, 'Czech Republic' AS country FROM `chrome-ux-report.country_cz.201808` UNION ALL SELECT *, 'de' AS country_code, 'Germany' AS country FROM `chrome-ux-report.country_de.201808` UNION ALL SELECT *, 'dj' AS country_code, 'Djibouti' AS country FROM `chrome-ux-report.country_dj.201808` UNION ALL SELECT *, 'dk' AS country_code, 'Denmark' AS country FROM `chrome-ux-report.country_dk.201808` UNION ALL SELECT *, 'dm' AS country_code, 'Dominica' AS country FROM `chrome-ux-report.country_dm.201808` UNION ALL SELECT *, 'do' AS country_code, 'Dominican Republic' AS country FROM `chrome-ux-report.country_do.201808` UNION ALL SELECT *, 'dz' AS country_code, 'Algeria' AS country FROM `chrome-ux-report.country_dz.201808` UNION ALL SELECT *, 'ec' AS country_code, 'Ecuador' AS country FROM `chrome-ux-report.country_ec.201808` UNION ALL SELECT *, 'ee' AS country_code, 'Estonia' AS country FROM `chrome-ux-report.country_ee.201808` UNION ALL SELECT *, 'eg' AS country_code, 'Egypt' AS country FROM `chrome-ux-report.country_eg.201808` UNION ALL SELECT *, 'eh' AS country_code, 'Western Sahara' AS country FROM `chrome-ux-report.country_eh.201808` UNION ALL SELECT *, 'er' AS country_code, 'Eritrea' AS country FROM `chrome-ux-report.country_er.201808` UNION ALL SELECT *, 'es' AS country_code, 'Spain' AS country FROM `chrome-ux-report.country_es.201808` UNION ALL SELECT *, 'et' AS country_code, 'Ethiopia' AS country FROM `chrome-ux-report.country_et.201808` UNION ALL SELECT *, 'fi' AS country_code, 'Finland' AS country FROM `chrome-ux-report.country_fi.201808` UNION ALL SELECT *, 'fj' AS country_code, 'Fiji' AS country FROM `chrome-ux-report.country_fj.201808` UNION ALL SELECT *, 'fk' AS country_code, 'Falkland Islands (Malvinas)' AS country FROM `chrome-ux-report.country_fk.201808` UNION ALL SELECT *, 'fm' AS country_code, 'Micronesia (Federated States of)' AS country FROM `chrome-ux-report.country_fm.201808` UNION ALL SELECT *, 'fo' AS country_code, 'Faroe Islands' AS country FROM `chrome-ux-report.country_fo.201808` UNION ALL SELECT *, 'fr' AS country_code, 'France' AS country FROM `chrome-ux-report.country_fr.201808` UNION ALL SELECT *, 'ga' AS country_code, 'Gabon' AS country FROM `chrome-ux-report.country_ga.201808` UNION ALL SELECT *, 'gb' AS country_code, 'United Kingdom of Great Britain and Northern Ireland' AS country FROM `chrome-ux-report.country_gb.201808` UNION ALL SELECT *, 'gd' AS country_code, 'Grenada' AS country FROM `chrome-ux-report.country_gd.201808` UNION ALL SELECT *, 'ge' AS country_code, 'Georgia' AS country FROM `chrome-ux-report.country_ge.201808` UNION ALL SELECT *, 'gf' AS country_code, 'French Guiana' AS country FROM `chrome-ux-report.country_gf.201808` UNION ALL SELECT *, 'gg' AS country_code, 'Guernsey' AS country FROM `chrome-ux-report.country_gg.201808` UNION ALL SELECT *, 'gh' AS country_code, 'Ghana' AS country FROM `chrome-ux-report.country_gh.201808` UNION ALL SELECT *, 'gi' AS country_code, 'Gibraltar' AS country FROM `chrome-ux-report.country_gi.201808` UNION ALL SELECT *, 'gl' AS country_code, 'Greenland' AS country FROM `chrome-ux-report.country_gl.201808` UNION ALL SELECT *, 'gm' AS country_code, 'Gambia' AS country FROM `chrome-ux-report.country_gm.201808` UNION ALL SELECT *, 'gn' AS country_code, 'Guinea' AS country FROM `chrome-ux-report.country_gn.201808` UNION ALL SELECT *, 'gp' AS country_code, 'Guadeloupe' AS country FROM `chrome-ux-report.country_gp.201808` UNION ALL SELECT *, 'gq' AS country_code, 'Equatorial Guinea' AS country FROM `chrome-ux-report.country_gq.201808` UNION ALL SELECT *, 'gr' AS country_code, 'Greece' AS country FROM `chrome-ux-report.country_gr.201808` UNION ALL SELECT *, 'gt' AS country_code, 'Guatemala' AS country FROM `chrome-ux-report.country_gt.201808` UNION ALL SELECT *, 'gu' AS country_code, 'Guam' AS country FROM `chrome-ux-report.country_gu.201808` UNION ALL SELECT *, 'gw' AS country_code, 'Guinea-Bissau' AS country FROM `chrome-ux-report.country_gw.201808` UNION ALL SELECT *, 'gy' AS country_code, 'Guyana' AS country FROM `chrome-ux-report.country_gy.201808` UNION ALL SELECT *, 'hk' AS country_code, 'Hong Kong' AS country FROM `chrome-ux-report.country_hk.201808` UNION ALL SELECT *, 'hn' AS country_code, 'Honduras' AS country FROM `chrome-ux-report.country_hn.201808` UNION ALL SELECT *, 'hr' AS country_code, 'Croatia' AS country FROM `chrome-ux-report.country_hr.201808` UNION ALL SELECT *, 'ht' AS country_code, 'Haiti' AS country FROM `chrome-ux-report.country_ht.201808` UNION ALL SELECT *, 'hu' AS country_code, 'Hungary' AS country FROM `chrome-ux-report.country_hu.201808` UNION ALL SELECT *, 'id' AS country_code, 'Indonesia' AS country FROM `chrome-ux-report.country_id.201808` UNION ALL SELECT *, 'ie' AS country_code, 'Ireland' AS country FROM `chrome-ux-report.country_ie.201808` UNION ALL SELECT *, 'il' AS country_code, 'Israel' AS country FROM `chrome-ux-report.country_il.201808` UNION ALL SELECT *, 'im' AS country_code, 'Isle of Man' AS country FROM `chrome-ux-report.country_im.201808` UNION ALL SELECT *, 'in' AS country_code, 'India' AS country FROM `chrome-ux-report.country_in.201808` UNION ALL SELECT *, 'io' AS country_code, 'British Indian Ocean Territory' AS country FROM `chrome-ux-report.country_io.201808` UNION ALL SELECT *, 'iq' AS country_code, 'Iraq' AS country FROM `chrome-ux-report.country_iq.201808` UNION ALL SELECT *, 'ir' AS country_code, 'Iran (Islamic Republic of)' AS country FROM `chrome-ux-report.country_ir.201808` UNION ALL SELECT *, 'is' AS country_code, 'Iceland' AS country FROM `chrome-ux-report.country_is.201808` UNION ALL SELECT *, 'it' AS country_code, 'Italy' AS country FROM `chrome-ux-report.country_it.201808` UNION ALL SELECT *, 'je' AS country_code, 'Jersey' AS country FROM `chrome-ux-report.country_je.201808` UNION ALL SELECT *, 'jm' AS country_code, 'Jamaica' AS country FROM `chrome-ux-report.country_jm.201808` UNION ALL SELECT *, 'jo' AS country_code, 'Jordan' AS country FROM `chrome-ux-report.country_jo.201808` UNION ALL SELECT *, 'jp' AS country_code, 'Japan' AS country FROM `chrome-ux-report.country_jp.201808` UNION ALL SELECT *, 'ke' AS country_code, 'Kenya' AS country FROM `chrome-ux-report.country_ke.201808` UNION ALL SELECT *, 'kg' AS country_code, 'Kyrgyzstan' AS country FROM `chrome-ux-report.country_kg.201808` UNION ALL SELECT *, 'kh' AS country_code, 'Cambodia' AS country FROM `chrome-ux-report.country_kh.201808` UNION ALL SELECT *, 'ki' AS country_code, 'Kiribati' AS country FROM `chrome-ux-report.country_ki.201808` UNION ALL SELECT *, 'km' AS country_code, 'Comoros' AS country FROM `chrome-ux-report.country_km.201808` UNION ALL SELECT *, 'kn' AS country_code, 'Saint Kitts and Nevis' AS country FROM `chrome-ux-report.country_kn.201808` UNION ALL SELECT *, 'kp' AS country_code, 'Korea (Democratic People\'s Republic of)' AS country FROM `chrome-ux-report.country_kp.201808` UNION ALL SELECT *, 'kr' AS country_code, 'Korea (Republic of)' AS country FROM `chrome-ux-report.country_kr.201808` UNION ALL SELECT *, 'kw' AS country_code, 'Kuwait' AS country FROM `chrome-ux-report.country_kw.201808` UNION ALL SELECT *, 'ky' AS country_code, 'Cayman Islands' AS country FROM `chrome-ux-report.country_ky.201808` UNION ALL SELECT *, 'kz' AS country_code, 'Kazakhstan' AS country FROM `chrome-ux-report.country_kz.201808` UNION ALL SELECT *, 'la' AS country_code, 'Lao People\'s Democratic Republic' AS country FROM `chrome-ux-report.country_la.201808` UNION ALL SELECT *, 'lb' AS country_code, 'Lebanon' AS country FROM `chrome-ux-report.country_lb.201808` UNION ALL SELECT *, 'lc' AS country_code, 'Saint Lucia' AS country FROM `chrome-ux-report.country_lc.201808` UNION ALL SELECT *, 'li' AS country_code, 'Liechtenstein' AS country FROM `chrome-ux-report.country_li.201808` UNION ALL SELECT *, 'lk' AS country_code, 'Sri Lanka' AS country FROM `chrome-ux-report.country_lk.201808` UNION ALL SELECT *, 'lr' AS country_code, 'Liberia' AS country FROM `chrome-ux-report.country_lr.201808` UNION ALL SELECT *, 'ls' AS country_code, 'Lesotho' AS country FROM `chrome-ux-report.country_ls.201808` UNION ALL SELECT *, 'lt' AS country_code, 'Lithuania' AS country FROM `chrome-ux-report.country_lt.201808` UNION ALL SELECT *, 'lu' AS country_code, 'Luxembourg' AS country FROM `chrome-ux-report.country_lu.201808` UNION ALL SELECT *, 'lv' AS country_code, 'Latvia' AS country FROM `chrome-ux-report.country_lv.201808` UNION ALL SELECT *, 'ly' AS country_code, 'Libya' AS country FROM `chrome-ux-report.country_ly.201808` UNION ALL SELECT *, 'ma' AS country_code, 'Morocco' AS country FROM `chrome-ux-report.country_ma.201808` UNION ALL SELECT *, 'mc' AS country_code, 'Monaco' AS country FROM `chrome-ux-report.country_mc.201808` UNION ALL SELECT *, 'md' AS country_code, 'Moldova (Republic of)' AS country FROM `chrome-ux-report.country_md.201808` UNION ALL SELECT *, 'me' AS country_code, 'Montenegro' AS country FROM `chrome-ux-report.country_me.201808` UNION ALL SELECT *, 'mf' AS country_code, 'Saint Martin (French part)' AS country FROM `chrome-ux-report.country_mf.201808` UNION ALL SELECT *, 'mg' AS country_code, 'Madagascar' AS country FROM `chrome-ux-report.country_mg.201808` UNION ALL SELECT *, 'mh' AS country_code, 'Marshall Islands' AS country FROM `chrome-ux-report.country_mh.201808` UNION ALL SELECT *, 'mk' AS country_code, 'Macedonia (the former Yugoslav Republic of)' AS country FROM `chrome-ux-report.country_mk.201808` UNION ALL SELECT *, 'ml' AS country_code, 'Mali' AS country FROM `chrome-ux-report.country_ml.201808` UNION ALL SELECT *, 'mm' AS country_code, 'Myanmar' AS country FROM `chrome-ux-report.country_mm.201808` UNION ALL SELECT *, 'mn' AS country_code, 'Mongolia' AS country FROM `chrome-ux-report.country_mn.201808` UNION ALL SELECT *, 'mo' AS country_code, 'Macao' AS country FROM `chrome-ux-report.country_mo.201808` UNION ALL SELECT *, 'mp' AS country_code, 'Northern Mariana Islands' AS country FROM `chrome-ux-report.country_mp.201808` UNION ALL SELECT *, 'mq' AS country_code, 'Martinique' AS country FROM `chrome-ux-report.country_mq.201808` UNION ALL SELECT *, 'mr' AS country_code, 'Mauritania' AS country FROM `chrome-ux-report.country_mr.201808` UNION ALL SELECT *, 'ms' AS country_code, 'Montserrat' AS country FROM `chrome-ux-report.country_ms.201808` UNION ALL SELECT *, 'mt' AS country_code, 'Malta' AS country FROM `chrome-ux-report.country_mt.201808` UNION ALL SELECT *, 'mu' AS country_code, 'Mauritius' AS country FROM `chrome-ux-report.country_mu.201808` UNION ALL SELECT *, 'mv' AS country_code, 'Maldives' AS country FROM `chrome-ux-report.country_mv.201808` UNION ALL SELECT *, 'mw' AS country_code, 'Malawi' AS country FROM `chrome-ux-report.country_mw.201808` UNION ALL SELECT *, 'mx' AS country_code, 'Mexico' AS country FROM `chrome-ux-report.country_mx.201808` UNION ALL SELECT *, 'my' AS country_code, 'Malaysia' AS country FROM `chrome-ux-report.country_my.201808` UNION ALL SELECT *, 'mz' AS country_code, 'Mozambique' AS country FROM `chrome-ux-report.country_mz.201808` UNION ALL SELECT *, 'na' AS country_code, 'Namibia' AS country FROM `chrome-ux-report.country_na.201808` UNION ALL SELECT *, 'nc' AS country_code, 'New Caledonia' AS country FROM `chrome-ux-report.country_nc.201808` UNION ALL SELECT *, 'ne' AS country_code, 'Niger' AS country FROM `chrome-ux-report.country_ne.201808` UNION ALL SELECT *, 'nf' AS country_code, 'Norfolk Island' AS country FROM `chrome-ux-report.country_nf.201808` UNION ALL SELECT *, 'ng' AS country_code, 'Nigeria' AS country FROM `chrome-ux-report.country_ng.201808` UNION ALL SELECT *, 'ni' AS country_code, 'Nicaragua' AS country FROM `chrome-ux-report.country_ni.201808` UNION ALL SELECT *, 'nl' AS country_code, 'Netherlands' AS country FROM `chrome-ux-report.country_nl.201808` UNION ALL SELECT *, 'no' AS country_code, 'Norway' AS country FROM `chrome-ux-report.country_no.201808` UNION ALL SELECT *, 'np' AS country_code, 'Nepal' AS country FROM `chrome-ux-report.country_np.201808` UNION ALL SELECT *, 'nr' AS country_code, 'Nauru' AS country FROM `chrome-ux-report.country_nr.201808` UNION ALL SELECT *, 'nz' AS country_code, 'New Zealand' AS country FROM `chrome-ux-report.country_nz.201808` UNION ALL SELECT *, 'om' AS country_code, 'Oman' AS country FROM `chrome-ux-report.country_om.201808` UNION ALL SELECT *, 'pa' AS country_code, 'Panama' AS country FROM `chrome-ux-report.country_pa.201808` UNION ALL SELECT *, 'pe' AS country_code, 'Peru' AS country FROM `chrome-ux-report.country_pe.201808` UNION ALL SELECT *, 'pf' AS country_code, 'French Polynesia' AS country FROM `chrome-ux-report.country_pf.201808` UNION ALL SELECT *, 'pg' AS country_code, 'Papua New Guinea' AS country FROM `chrome-ux-report.country_pg.201808` UNION ALL SELECT *, 'ph' AS country_code, 'Philippines' AS country FROM `chrome-ux-report.country_ph.201808` UNION ALL SELECT *, 'pk' AS country_code, 'Pakistan' AS country FROM `chrome-ux-report.country_pk.201808` UNION ALL SELECT *, 'pl' AS country_code, 'Poland' AS country FROM `chrome-ux-report.country_pl.201808` UNION ALL SELECT *, 'pm' AS country_code, 'Saint Pierre and Miquelon' AS country FROM `chrome-ux-report.country_pm.201808` UNION ALL SELECT *, 'pr' AS country_code, 'Puerto Rico' AS country FROM `chrome-ux-report.country_pr.201808` UNION ALL SELECT *, 'ps' AS country_code, 'Palestine, State of' AS country FROM `chrome-ux-report.country_ps.201808` UNION ALL SELECT *, 'pt' AS country_code, 'Portugal' AS country FROM `chrome-ux-report.country_pt.201808` UNION ALL SELECT *, 'pw' AS country_code, 'Palau' AS country FROM `chrome-ux-report.country_pw.201808` UNION ALL SELECT *, 'py' AS country_code, 'Paraguay' AS country FROM `chrome-ux-report.country_py.201808` UNION ALL SELECT *, 'qa' AS country_code, 'Qatar' AS country FROM `chrome-ux-report.country_qa.201808` UNION ALL SELECT *, 're' AS country_code, 'Réunion' AS country FROM `chrome-ux-report.country_re.201808` UNION ALL SELECT *, 'ro' AS country_code, 'Romania' AS country FROM `chrome-ux-report.country_ro.201808` UNION ALL SELECT *, 'rs' AS country_code, 'Serbia' AS country FROM `chrome-ux-report.country_rs.201808` UNION ALL SELECT *, 'ru' AS country_code, 'Russian Federation' AS country FROM `chrome-ux-report.country_ru.201808` UNION ALL SELECT *, 'rw' AS country_code, 'Rwanda' AS country FROM `chrome-ux-report.country_rw.201808` UNION ALL SELECT *, 'sa' AS country_code, 'Saudi Arabia' AS country FROM `chrome-ux-report.country_sa.201808` UNION ALL SELECT *, 'sb' AS country_code, 'Solomon Islands' AS country FROM `chrome-ux-report.country_sb.201808` UNION ALL SELECT *, 'sc' AS country_code, 'Seychelles' AS country FROM `chrome-ux-report.country_sc.201808` UNION ALL SELECT *, 'sd' AS country_code, 'Sudan' AS country FROM `chrome-ux-report.country_sd.201808` UNION ALL SELECT *, 'se' AS country_code, 'Sweden' AS country FROM `chrome-ux-report.country_se.201808` UNION ALL SELECT *, 'sg' AS country_code, 'Singapore' AS country FROM `chrome-ux-report.country_sg.201808` UNION ALL SELECT *, 'sh' AS country_code, 'Saint Helena, Ascension and Tristan da Cunha' AS country FROM `chrome-ux-report.country_sh.201808` UNION ALL SELECT *, 'si' AS country_code, 'Slovenia' AS country FROM `chrome-ux-report.country_si.201808` UNION ALL SELECT *, 'sj' AS country_code, 'Svalbard and Jan Mayen' AS country FROM `chrome-ux-report.country_sj.201808` UNION ALL SELECT *, 'sk' AS country_code, 'Slovakia' AS country FROM `chrome-ux-report.country_sk.201808` UNION ALL SELECT *, 'sl' AS country_code, 'Sierra Leone' AS country FROM `chrome-ux-report.country_sl.201808` UNION ALL SELECT *, 'sm' AS country_code, 'San Marino' AS country FROM `chrome-ux-report.country_sm.201808` UNION ALL SELECT *, 'sn' AS country_code, 'Senegal' AS country FROM `chrome-ux-report.country_sn.201808` UNION ALL SELECT *, 'so' AS country_code, 'Somalia' AS country FROM `chrome-ux-report.country_so.201808` UNION ALL SELECT *, 'sr' AS country_code, 'Suriname' AS country FROM `chrome-ux-report.country_sr.201808` UNION ALL SELECT *, 'ss' AS country_code, 'South Sudan' AS country FROM `chrome-ux-report.country_ss.201808` UNION ALL SELECT *, 'st' AS country_code, 'Sao Tome and Principe' AS country FROM `chrome-ux-report.country_st.201808` UNION ALL SELECT *, 'sv' AS country_code, 'El Salvador' AS country FROM `chrome-ux-report.country_sv.201808` UNION ALL SELECT *, 'sx' AS country_code, 'Sint Maarten (Dutch part)' AS country FROM `chrome-ux-report.country_sx.201808` UNION ALL SELECT *, 'sy' AS country_code, 'Syrian Arab Republic' AS country FROM `chrome-ux-report.country_sy.201808` UNION ALL SELECT *, 'sz' AS country_code, 'Swaziland' AS country FROM `chrome-ux-report.country_sz.201808` UNION ALL SELECT *, 'tc' AS country_code, 'Turks and Caicos Islands' AS country FROM `chrome-ux-report.country_tc.201808` UNION ALL SELECT *, 'td' AS country_code, 'Chad' AS country FROM `chrome-ux-report.country_td.201808` UNION ALL SELECT *, 'tg' AS country_code, 'Togo' AS country FROM `chrome-ux-report.country_tg.201808` UNION ALL SELECT *, 'th' AS country_code, 'Thailand' AS country FROM `chrome-ux-report.country_th.201808` UNION ALL SELECT *, 'tj' AS country_code, 'Tajikistan' AS country FROM `chrome-ux-report.country_tj.201808` UNION ALL SELECT *, 'tl' AS country_code, 'Timor-Leste' AS country FROM `chrome-ux-report.country_tl.201808` UNION ALL SELECT *, 'tm' AS country_code, 'Turkmenistan' AS country FROM `chrome-ux-report.country_tm.201808` UNION ALL SELECT *, 'tn' AS country_code, 'Tunisia' AS country FROM `chrome-ux-report.country_tn.201808` UNION ALL SELECT *, 'to' AS country_code, 'Tonga' AS country FROM `chrome-ux-report.country_to.201808` UNION ALL SELECT *, 'tr' AS country_code, 'Turkey' AS country FROM `chrome-ux-report.country_tr.201808` UNION ALL SELECT *, 'tt' AS country_code, 'Trinidad and Tobago' AS country FROM `chrome-ux-report.country_tt.201808` UNION ALL SELECT *, 'tv' AS country_code, 'Tuvalu' AS country FROM `chrome-ux-report.country_tv.201808` UNION ALL SELECT *, 'tw' AS country_code, 'Taiwan, Province of China' AS country FROM `chrome-ux-report.country_tw.201808` UNION ALL SELECT *, 'tz' AS country_code, 'Tanzania, United Republic of' AS country FROM `chrome-ux-report.country_tz.201808` UNION ALL SELECT *, 'ua' AS country_code, 'Ukraine' AS country FROM `chrome-ux-report.country_ua.201808` UNION ALL SELECT *, 'ug' AS country_code, 'Uganda' AS country FROM `chrome-ux-report.country_ug.201808` UNION ALL SELECT *, 'us' AS country_code, 'United States of America' AS country FROM `chrome-ux-report.country_us.201808` UNION ALL SELECT *, 'uy' AS country_code, 'Uruguay' AS country FROM `chrome-ux-report.country_uy.201808` UNION ALL SELECT *, 'uz' AS country_code, 'Uzbekistan' AS country FROM `chrome-ux-report.country_uz.201808` UNION ALL SELECT *, 'vc' AS country_code, 'Saint Vincent and the Grenadines' AS country FROM `chrome-ux-report.country_vc.201808` UNION ALL SELECT *, 've' AS country_code, 'Venezuela (Bolivarian Republic of)' AS country FROM `chrome-ux-report.country_ve.201808` UNION ALL SELECT *, 'vg' AS country_code, 'Virgin Islands (British)' AS country FROM `chrome-ux-report.country_vg.201808` UNION ALL SELECT *, 'vi' AS country_code, 'Virgin Islands (U.S.)' AS country FROM `chrome-ux-report.country_vi.201808` UNION ALL SELECT *, 'vn' AS country_code, 'Viet Nam' AS country FROM `chrome-ux-report.country_vn.201808` UNION ALL SELECT *, 'vu' AS country_code, 'Vanuatu' AS country FROM `chrome-ux-report.country_vu.201808` UNION ALL SELECT *, 'ws' AS country_code, 'Samoa' AS country FROM `chrome-ux-report.country_ws.201808` UNION ALL SELECT *, 'xk' AS country_code, 'Kosovo' AS country FROM `chrome-ux-report.country_xk.201808` UNION ALL SELECT *, 'ye' AS country_code, 'Yemen' AS country FROM `chrome-ux-report.country_ye.201808` UNION ALL SELECT *, 'yt' AS country_code, 'Mayotte' AS country FROM `chrome-ux-report.country_yt.201808` UNION ALL SELECT *, 'za' AS country_code, 'South Africa' AS country FROM `chrome-ux-report.country_za.201808` UNION ALL SELECT *, 'zm' AS country_code, 'Zambia' AS country FROM `chrome-ux-report.country_zm.201808` UNION ALL SELECT *, 'zw' AS country_code, 'Zimbabwe' AS country FROM `chrome-ux-report.country_zw.201808` ) # Compute the fast FCP densities of a particular origin for each country. # Note that this origin may not be available in some countries. SELECT country, country_code, ROUND(SUM(IF(fcp.start < 1000, fcp.density, 0)), 4) AS fast_fcp FROM countries, UNNEST(first_contentful_paint.histogram.bin) AS fcp WHERE origin = 'https://developers.google.com' GROUP BY country, country_code ORDER BY country_code ================================================ FILE: sql/fast-fcp-for-domain.sql ================================================ #standardSQL # Gets the % of fast FCP for a given domain. SELECT DISTINCT origin, SUM(fcp.density) AS pct_fast_fcp FROM `chrome-ux-report.all.201801`, UNNEST(first_contentful_paint.histogram.bin) AS fcp WHERE NET.REG_DOMAIN(origin) = 'example.com' AND fcp.start < 1000 GROUP BY origin ================================================ FILE: sql/global-connection-density.sql ================================================ #standardSQL # Breaks down the global distribution of effective connection types. # eg: 90% 4G, 9% 3G, etc. SELECT effective_connection_type.name AS ect, ROUND(SUM(fcp.density) / (SELECT COUNT(DISTINCT origin) FROM `chrome-ux-report.all.201802`), 4) AS density FROM `chrome-ux-report.all.201802`, UNNEST(first_contentful_paint.histogram.bin) AS fcp GROUP BY ect ORDER BY density DESC ================================================ FILE: sql/global-device-density.sql ================================================ #standardSQL # Breaks down the global distribution of form factors. # eg: 76% phone, 23% desktop, 1% tablet. SELECT form_factor.name AS device, ROUND(SUM(fcp.density) / (SELECT COUNT(DISTINCT origin) FROM `chrome-ux-report.all.201802`), 4) AS density FROM `chrome-ux-report.all.201802`, UNNEST(first_contentful_paint.histogram.bin) AS fcp GROUP BY device ORDER BY device ================================================ FILE: sql/mastering-crux/01-basic-cwv.sql ================================================ # Querying one month of Core Web Vitals stats for an origin. SELECT fast_lcp AS pct_good_lcp, p75_lcp, fast_inp AS pct_good_inp, p75_inp, small_cls AS pct_good_cls, p75_cls FROM `chrome-ux-report.materialized.metrics_summary` WHERE date = '2025-03-01' AND origin = 'https://web.dev' ================================================ FILE: sql/mastering-crux/02-timeseries-cwv.sql ================================================ # Timeseries of Core Web Vitals performance. SELECT yyyymm, fast_lcp AS pct_good_lcp, p75_lcp, fast_inp AS pct_good_inp, p75_inp, small_cls AS pct_good_cls, p75_cls FROM `chrome-ux-report.materialized.metrics_summary` WHERE date >= '2025-03-01' AND origin = 'https://web.dev' ORDER BY yyyymm DESC ================================================ FILE: sql/mastering-crux/03-device-cwv.sql ================================================ # Core Web Vitals performance by device. SELECT yyyymm, device, fast_lcp / (fast_lcp + avg_lcp + slow_lcp) AS pct_good_lcp, p75_lcp, fast_inp / (fast_inp + avg_inp + slow_inp) AS pct_good_inp, p75_inp, small_cls / (small_cls + medium_cls + large_cls) AS pct_good_cls, p75_cls FROM `chrome-ux-report.materialized.device_summary` WHERE date >= '2025-03-01' AND origin = 'https://web.dev' AND device IN ('desktop', 'phone') ORDER BY yyyymm DESC, device ================================================ FILE: sql/mastering-crux/04-country-cwv.sql ================================================ # Core Web Vitals performance by country. SELECT yyyymm, `chrome-ux-report`.experimental.GET_COUNTRY(country_code) AS country, device, fast_lcp / (fast_lcp + avg_lcp + slow_lcp) AS pct_good_lcp, p75_lcp, fast_inp / (fast_inp + avg_inp + slow_inp) AS pct_good_inp, p75_inp, small_cls / (small_cls + medium_cls + large_cls) AS pct_good_cls, p75_cls FROM `chrome-ux-report.materialized.country_summary` WHERE yyyymm >= 202305 AND country_code IN ('kr', 'ng') AND origin = 'https://web.dev' AND device IN ('desktop') ORDER BY yyyymm DESC, country ================================================ FILE: sql/notification-permissions-origin-form-factor.sql ================================================ #standardSQL # Notification permission response rates for multiple origins and form factors. SELECT origin, form_factor, ROUND(accept / total, 4) AS accept, ROUND(deny / total, 4) AS deny, ROUND(`ignore` / total, 4) AS `ignore`, ROUND(dismiss / total, 4) AS dismiss FROM ( SELECT origin, form_factor.name AS form_factor, SUM(experimental.permission.notifications.accept) AS accept, SUM(experimental.permission.notifications.deny) AS deny, SUM(experimental.permission.notifications.ignore) AS `ignore`, SUM(experimental.permission.notifications.dismiss) AS dismiss, SUM(experimental.permission.notifications.accept + experimental.permission.notifications.deny + experimental.permission.notifications.ignore + experimental.permission.notifications.dismiss) AS total FROM `chrome-ux-report.all.202001` WHERE origin IN ('https://mobile.twitter.com', 'https://twitter.com') AND experimental.permission.notifications IS NOT NULL GROUP BY origin, form_factor) ================================================ FILE: sql/notification-permissions.sql ================================================ #standardSQL # Explore notification permission response rates. SELECT SUM(experimental.permission.notifications.accept) AS accept, SUM(experimental.permission.notifications.deny) AS deny, SUM(experimental.permission.notifications.ignore) AS `ignore`, SUM(experimental.permission.notifications.dismiss) AS dismiss FROM `chrome-ux-report.all.202001` WHERE origin = 'https://news.google.com' ================================================ FILE: sql/origins-for-domain.sql ================================================ #standardSQL # Gets all distinct origins for a given domain. # Example output: http://www.example.com, http://example.com, # https://example.com, https://www.example.com. SELECT DISTINCT origin FROM `chrome-ux-report.all.201801` WHERE NET.REG_DOMAIN(origin) = 'example.com' ================================================ FILE: sql/p75-fcp-timeseries.sql ================================================ #standardSQL # Approximates the 75th percentile FCP for origins over time. # Warning!! This query processes the entire dataset and is 1+ TB! SELECT yyyymm, origin, MIN(start) AS fcp FROM ( SELECT _TABLE_SUFFIX AS yyyymm, origin, fcp.start as start, fcp.density AS density, SUM(fcp.density) OVER (PARTITION BY _TABLE_SUFFIX, origin ORDER BY fcp.start) / SUM(fcp.density) OVER (PARTITION BY _TABLE_SUFFIX, origin) AS total FROM `chrome-ux-report.all.*`, UNNEST(first_contentful_paint.histogram.bin) AS fcp WHERE origin IN ( # Comma-separated list of origins 'https://www.example.com' ) # Optionally filter by form factor # AND form_factor.name = 'phone' ) WHERE # 0.75 = 75th percentile total >= 0.75 GROUP BY yyyymm, origin ORDER BY yyyymm, origin ================================================ FILE: sql/p75-fcp.sql ================================================ #standardSQL # Approximates the 75th percentile FCP for a given origin and form factor. SELECT MIN(start) AS fcp FROM ( SELECT fcp.start as start, fcp.density AS density, SUM(fcp.density) OVER (ORDER BY fcp.start) / SUM(fcp.density) OVER () AS total FROM `chrome-ux-report.all.202001`, UNNEST(first_contentful_paint.histogram.bin) AS fcp WHERE origin = 'https://www.example.com' AND form_factor.name = 'phone') WHERE # 0.75 = 75th percentile total >= 0.75 ================================================ FILE: sql/p75-lcp-country.sql ================================================ #standardSQL # Get the 75th percentile LCP across all countries for a single month, origin, and device. SELECT country_code, `chrome-ux-report`.experimental.GET_COUNTRY(country_code) AS country, p75_lcp FROM `chrome-ux-report.materialized.country_summary` WHERE yyyymm = 202004 AND origin = 'https://web.dev' AND device = 'phone' ORDER BY country_code ================================================ FILE: sql/subregion-fast-fcp.sql ================================================ #standardSQL # Create a `countries` alias that decorates each dataset with geographic metadata. # Generated by utils/countries.js. # This query consumes 72.4 GB. WITH countries AS ( SELECT *, 'af' AS country_code, 'Afghanistan' AS country, 'Asia' AS region, 'Southern Asia' AS subregion FROM `chrome-ux-report.country_af.201902` UNION ALL SELECT *, 'ax' AS country_code, 'Åland Islands' AS country, 'Europe' AS region, 'Northern Europe' AS subregion FROM `chrome-ux-report.country_ax.201902` UNION ALL SELECT *, 'al' AS country_code, 'Albania' AS country, 'Europe' AS region, 'Southern Europe' AS subregion FROM `chrome-ux-report.country_al.201902` UNION ALL SELECT *, 'dz' AS country_code, 'Algeria' AS country, 'Africa' AS region, 'Northern Africa' AS subregion FROM `chrome-ux-report.country_dz.201902` UNION ALL SELECT *, 'as' AS country_code, 'American Samoa' AS country, 'Oceania' AS region, 'Polynesia' AS subregion FROM `chrome-ux-report.country_as.201902` UNION ALL SELECT *, 'ad' AS country_code, 'Andorra' AS country, 'Europe' AS region, 'Southern Europe' AS subregion FROM `chrome-ux-report.country_ad.201902` UNION ALL SELECT *, 'ao' AS country_code, 'Angola' AS country, 'Africa' AS region, 'Middle Africa' AS subregion FROM `chrome-ux-report.country_ao.201902` UNION ALL SELECT *, 'ai' AS country_code, 'Anguilla' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_ai.201902` UNION ALL SELECT *, 'ag' AS country_code, 'Antigua and Barbuda' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_ag.201902` UNION ALL SELECT *, 'ar' AS country_code, 'Argentina' AS country, 'Americas' AS region, 'South America' AS subregion FROM `chrome-ux-report.country_ar.201902` UNION ALL SELECT *, 'am' AS country_code, 'Armenia' AS country, 'Asia' AS region, 'Western Asia' AS subregion FROM `chrome-ux-report.country_am.201902` UNION ALL SELECT *, 'aw' AS country_code, 'Aruba' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_aw.201902` UNION ALL SELECT *, 'au' AS country_code, 'Australia' AS country, 'Oceania' AS region, 'Australia and New Zealand' AS subregion FROM `chrome-ux-report.country_au.201902` UNION ALL SELECT *, 'at' AS country_code, 'Austria' AS country, 'Europe' AS region, 'Western Europe' AS subregion FROM `chrome-ux-report.country_at.201902` UNION ALL SELECT *, 'az' AS country_code, 'Azerbaijan' AS country, 'Asia' AS region, 'Western Asia' AS subregion FROM `chrome-ux-report.country_az.201902` UNION ALL SELECT *, 'bs' AS country_code, 'Bahamas' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_bs.201902` UNION ALL SELECT *, 'bh' AS country_code, 'Bahrain' AS country, 'Asia' AS region, 'Western Asia' AS subregion FROM `chrome-ux-report.country_bh.201902` UNION ALL SELECT *, 'bd' AS country_code, 'Bangladesh' AS country, 'Asia' AS region, 'Southern Asia' AS subregion FROM `chrome-ux-report.country_bd.201902` UNION ALL SELECT *, 'bb' AS country_code, 'Barbados' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_bb.201902` UNION ALL SELECT *, 'by' AS country_code, 'Belarus' AS country, 'Europe' AS region, 'Eastern Europe' AS subregion FROM `chrome-ux-report.country_by.201902` UNION ALL SELECT *, 'be' AS country_code, 'Belgium' AS country, 'Europe' AS region, 'Western Europe' AS subregion FROM `chrome-ux-report.country_be.201902` UNION ALL SELECT *, 'bz' AS country_code, 'Belize' AS country, 'Americas' AS region, 'Central America' AS subregion FROM `chrome-ux-report.country_bz.201902` UNION ALL SELECT *, 'bj' AS country_code, 'Benin' AS country, 'Africa' AS region, 'Western Africa' AS subregion FROM `chrome-ux-report.country_bj.201902` UNION ALL SELECT *, 'bm' AS country_code, 'Bermuda' AS country, 'Americas' AS region, 'Northern America' AS subregion FROM `chrome-ux-report.country_bm.201902` UNION ALL SELECT *, 'bt' AS country_code, 'Bhutan' AS country, 'Asia' AS region, 'Southern Asia' AS subregion FROM `chrome-ux-report.country_bt.201902` UNION ALL SELECT *, 'bo' AS country_code, 'Bolivia (Plurinational State of)' AS country, 'Americas' AS region, 'South America' AS subregion FROM `chrome-ux-report.country_bo.201902` UNION ALL SELECT *, 'bq' AS country_code, 'Bonaire, Sint Eustatius and Saba' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_bq.201902` UNION ALL SELECT *, 'ba' AS country_code, 'Bosnia and Herzegovina' AS country, 'Europe' AS region, 'Southern Europe' AS subregion FROM `chrome-ux-report.country_ba.201902` UNION ALL SELECT *, 'bw' AS country_code, 'Botswana' AS country, 'Africa' AS region, 'Southern Africa' AS subregion FROM `chrome-ux-report.country_bw.201902` UNION ALL SELECT *, 'br' AS country_code, 'Brazil' AS country, 'Americas' AS region, 'South America' AS subregion FROM `chrome-ux-report.country_br.201902` UNION ALL SELECT *, 'io' AS country_code, 'British Indian Ocean Territory' AS country, '' AS region, 'null' AS subregion FROM `chrome-ux-report.country_io.201902` UNION ALL SELECT *, 'bn' AS country_code, 'Brunei Darussalam' AS country, 'Asia' AS region, 'South-Eastern Asia' AS subregion FROM `chrome-ux-report.country_bn.201902` UNION ALL SELECT *, 'bg' AS country_code, 'Kosovo' AS country, 'Europe' AS region, 'Eastern Europe' AS subregion FROM `chrome-ux-report.country_bg.201902` UNION ALL SELECT *, 'bf' AS country_code, 'Burkina Faso' AS country, 'Africa' AS region, 'Western Africa' AS subregion FROM `chrome-ux-report.country_bf.201902` UNION ALL SELECT *, 'bi' AS country_code, 'Burundi' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_bi.201902` UNION ALL SELECT *, 'kh' AS country_code, 'Cambodia' AS country, 'Asia' AS region, 'South-Eastern Asia' AS subregion FROM `chrome-ux-report.country_kh.201902` UNION ALL SELECT *, 'cm' AS country_code, 'Cameroon' AS country, 'Africa' AS region, 'Middle Africa' AS subregion FROM `chrome-ux-report.country_cm.201902` UNION ALL SELECT *, 'ca' AS country_code, 'Canada' AS country, 'Americas' AS region, 'Northern America' AS subregion FROM `chrome-ux-report.country_ca.201902` UNION ALL SELECT *, 'cv' AS country_code, 'Cabo Verde' AS country, 'Africa' AS region, 'Western Africa' AS subregion FROM `chrome-ux-report.country_cv.201902` UNION ALL SELECT *, 'ky' AS country_code, 'Cayman Islands' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_ky.201902` UNION ALL SELECT *, 'cf' AS country_code, 'Central African Republic' AS country, 'Africa' AS region, 'Middle Africa' AS subregion FROM `chrome-ux-report.country_cf.201902` UNION ALL SELECT *, 'td' AS country_code, 'Chad' AS country, 'Africa' AS region, 'Middle Africa' AS subregion FROM `chrome-ux-report.country_td.201902` UNION ALL SELECT *, 'cl' AS country_code, 'Chile' AS country, 'Americas' AS region, 'South America' AS subregion FROM `chrome-ux-report.country_cl.201902` UNION ALL SELECT *, 'cn' AS country_code, 'China' AS country, 'Asia' AS region, 'Eastern Asia' AS subregion FROM `chrome-ux-report.country_cn.201902` UNION ALL SELECT *, 'cx' AS country_code, 'Christmas Island' AS country, '' AS region, 'null' AS subregion FROM `chrome-ux-report.country_cx.201902` UNION ALL SELECT *, 'co' AS country_code, 'Colombia' AS country, 'Americas' AS region, 'South America' AS subregion FROM `chrome-ux-report.country_co.201902` UNION ALL SELECT *, 'km' AS country_code, 'Comoros' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_km.201902` UNION ALL SELECT *, 'cg' AS country_code, 'Congo' AS country, 'Africa' AS region, 'Middle Africa' AS subregion FROM `chrome-ux-report.country_cg.201902` UNION ALL SELECT *, 'cd' AS country_code, 'Congo (Democratic Republic of the)' AS country, 'Africa' AS region, 'Middle Africa' AS subregion FROM `chrome-ux-report.country_cd.201902` UNION ALL SELECT *, 'ck' AS country_code, 'Cook Islands' AS country, 'Oceania' AS region, 'Polynesia' AS subregion FROM `chrome-ux-report.country_ck.201902` UNION ALL SELECT *, 'cr' AS country_code, 'Costa Rica' AS country, 'Americas' AS region, 'Central America' AS subregion FROM `chrome-ux-report.country_cr.201902` UNION ALL SELECT *, 'ci' AS country_code, 'Côte d\'Ivoire' AS country, 'Africa' AS region, 'Western Africa' AS subregion FROM `chrome-ux-report.country_ci.201902` UNION ALL SELECT *, 'hr' AS country_code, 'Croatia' AS country, 'Europe' AS region, 'Southern Europe' AS subregion FROM `chrome-ux-report.country_hr.201902` UNION ALL SELECT *, 'cu' AS country_code, 'Cuba' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_cu.201902` UNION ALL SELECT *, 'cw' AS country_code, 'Curaçao' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_cw.201902` UNION ALL SELECT *, 'cy' AS country_code, 'Cyprus' AS country, 'Asia' AS region, 'Western Asia' AS subregion FROM `chrome-ux-report.country_cy.201902` UNION ALL SELECT *, 'cz' AS country_code, 'Czech Republic' AS country, 'Europe' AS region, 'Eastern Europe' AS subregion FROM `chrome-ux-report.country_cz.201902` UNION ALL SELECT *, 'dk' AS country_code, 'Denmark' AS country, 'Europe' AS region, 'Northern Europe' AS subregion FROM `chrome-ux-report.country_dk.201902` UNION ALL SELECT *, 'dj' AS country_code, 'Djibouti' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_dj.201902` UNION ALL SELECT *, 'dm' AS country_code, 'Dominica' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_dm.201902` UNION ALL SELECT *, 'do' AS country_code, 'Dominican Republic' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_do.201902` UNION ALL SELECT *, 'ec' AS country_code, 'Ecuador' AS country, 'Americas' AS region, 'South America' AS subregion FROM `chrome-ux-report.country_ec.201902` UNION ALL SELECT *, 'eg' AS country_code, 'Egypt' AS country, 'Africa' AS region, 'Northern Africa' AS subregion FROM `chrome-ux-report.country_eg.201902` UNION ALL SELECT *, 'sv' AS country_code, 'El Salvador' AS country, 'Americas' AS region, 'Central America' AS subregion FROM `chrome-ux-report.country_sv.201902` UNION ALL SELECT *, 'gq' AS country_code, 'Equatorial Guinea' AS country, 'Africa' AS region, 'Middle Africa' AS subregion FROM `chrome-ux-report.country_gq.201902` UNION ALL SELECT *, 'er' AS country_code, 'Eritrea' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_er.201902` UNION ALL SELECT *, 'ee' AS country_code, 'Estonia' AS country, 'Europe' AS region, 'Northern Europe' AS subregion FROM `chrome-ux-report.country_ee.201902` UNION ALL SELECT *, 'et' AS country_code, 'Ethiopia' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_et.201902` UNION ALL SELECT *, 'fk' AS country_code, 'Falkland Islands (Malvinas)' AS country, 'Americas' AS region, 'South America' AS subregion FROM `chrome-ux-report.country_fk.201902` UNION ALL SELECT *, 'fo' AS country_code, 'Faroe Islands' AS country, 'Europe' AS region, 'Northern Europe' AS subregion FROM `chrome-ux-report.country_fo.201902` UNION ALL SELECT *, 'fj' AS country_code, 'Fiji' AS country, 'Oceania' AS region, 'Melanesia' AS subregion FROM `chrome-ux-report.country_fj.201902` UNION ALL SELECT *, 'fi' AS country_code, 'Finland' AS country, 'Europe' AS region, 'Northern Europe' AS subregion FROM `chrome-ux-report.country_fi.201902` UNION ALL SELECT *, 'fr' AS country_code, 'France' AS country, 'Europe' AS region, 'Western Europe' AS subregion FROM `chrome-ux-report.country_fr.201902` UNION ALL SELECT *, 'gf' AS country_code, 'French Guiana' AS country, 'Americas' AS region, 'South America' AS subregion FROM `chrome-ux-report.country_gf.201902` UNION ALL SELECT *, 'pf' AS country_code, 'French Polynesia' AS country, 'Oceania' AS region, 'Polynesia' AS subregion FROM `chrome-ux-report.country_pf.201902` UNION ALL SELECT *, 'ga' AS country_code, 'Gabon' AS country, 'Africa' AS region, 'Middle Africa' AS subregion FROM `chrome-ux-report.country_ga.201902` UNION ALL SELECT *, 'gm' AS country_code, 'Gambia' AS country, 'Africa' AS region, 'Western Africa' AS subregion FROM `chrome-ux-report.country_gm.201902` UNION ALL SELECT *, 'ge' AS country_code, 'Georgia' AS country, 'Asia' AS region, 'Western Asia' AS subregion FROM `chrome-ux-report.country_ge.201902` UNION ALL SELECT *, 'de' AS country_code, 'Germany' AS country, 'Europe' AS region, 'Western Europe' AS subregion FROM `chrome-ux-report.country_de.201902` UNION ALL SELECT *, 'gh' AS country_code, 'Ghana' AS country, 'Africa' AS region, 'Western Africa' AS subregion FROM `chrome-ux-report.country_gh.201902` UNION ALL SELECT *, 'gi' AS country_code, 'Gibraltar' AS country, 'Europe' AS region, 'Southern Europe' AS subregion FROM `chrome-ux-report.country_gi.201902` UNION ALL SELECT *, 'gr' AS country_code, 'Greece' AS country, 'Europe' AS region, 'Southern Europe' AS subregion FROM `chrome-ux-report.country_gr.201902` UNION ALL SELECT *, 'gl' AS country_code, 'Greenland' AS country, 'Americas' AS region, 'Northern America' AS subregion FROM `chrome-ux-report.country_gl.201902` UNION ALL SELECT *, 'gd' AS country_code, 'Grenada' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_gd.201902` UNION ALL SELECT *, 'gp' AS country_code, 'Guadeloupe' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_gp.201902` UNION ALL SELECT *, 'gu' AS country_code, 'Guam' AS country, 'Oceania' AS region, 'Micronesia' AS subregion FROM `chrome-ux-report.country_gu.201902` UNION ALL SELECT *, 'gt' AS country_code, 'Guatemala' AS country, 'Americas' AS region, 'Central America' AS subregion FROM `chrome-ux-report.country_gt.201902` UNION ALL SELECT *, 'gg' AS country_code, 'Guernsey' AS country, 'Europe' AS region, 'Northern Europe' AS subregion FROM `chrome-ux-report.country_gg.201902` UNION ALL SELECT *, 'gn' AS country_code, 'Guinea' AS country, 'Africa' AS region, 'Western Africa' AS subregion FROM `chrome-ux-report.country_gn.201902` UNION ALL SELECT *, 'gw' AS country_code, 'Guinea-Bissau' AS country, 'Africa' AS region, 'Western Africa' AS subregion FROM `chrome-ux-report.country_gw.201902` UNION ALL SELECT *, 'gy' AS country_code, 'Guyana' AS country, 'Americas' AS region, 'South America' AS subregion FROM `chrome-ux-report.country_gy.201902` UNION ALL SELECT *, 'ht' AS country_code, 'Haiti' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_ht.201902` UNION ALL SELECT *, 'hn' AS country_code, 'Honduras' AS country, 'Americas' AS region, 'Central America' AS subregion FROM `chrome-ux-report.country_hn.201902` UNION ALL SELECT *, 'hk' AS country_code, 'Hong Kong' AS country, 'Asia' AS region, 'Eastern Asia' AS subregion FROM `chrome-ux-report.country_hk.201902` UNION ALL SELECT *, 'hu' AS country_code, 'Hungary' AS country, 'Europe' AS region, 'Eastern Europe' AS subregion FROM `chrome-ux-report.country_hu.201902` UNION ALL SELECT *, 'is' AS country_code, 'Iceland' AS country, 'Europe' AS region, 'Northern Europe' AS subregion FROM `chrome-ux-report.country_is.201902` UNION ALL SELECT *, 'in' AS country_code, 'India' AS country, 'Asia' AS region, 'Southern Asia' AS subregion FROM `chrome-ux-report.country_in.201902` UNION ALL SELECT *, 'id' AS country_code, 'Indonesia' AS country, 'Asia' AS region, 'South-Eastern Asia' AS subregion FROM `chrome-ux-report.country_id.201902` UNION ALL SELECT *, 'ir' AS country_code, 'Iran (Islamic Republic of)' AS country, 'Asia' AS region, 'Southern Asia' AS subregion FROM `chrome-ux-report.country_ir.201902` UNION ALL SELECT *, 'iq' AS country_code, 'Iraq' AS country, 'Asia' AS region, 'Western Asia' AS subregion FROM `chrome-ux-report.country_iq.201902` UNION ALL SELECT *, 'ie' AS country_code, 'Ireland' AS country, 'Europe' AS region, 'Northern Europe' AS subregion FROM `chrome-ux-report.country_ie.201902` UNION ALL SELECT *, 'im' AS country_code, 'Isle of Man' AS country, 'Europe' AS region, 'Northern Europe' AS subregion FROM `chrome-ux-report.country_im.201902` UNION ALL SELECT *, 'il' AS country_code, 'Israel' AS country, 'Asia' AS region, 'Western Asia' AS subregion FROM `chrome-ux-report.country_il.201902` UNION ALL SELECT *, 'it' AS country_code, 'Italy' AS country, 'Europe' AS region, 'Southern Europe' AS subregion FROM `chrome-ux-report.country_it.201902` UNION ALL SELECT *, 'jm' AS country_code, 'Jamaica' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_jm.201902` UNION ALL SELECT *, 'jp' AS country_code, 'Japan' AS country, 'Asia' AS region, 'Eastern Asia' AS subregion FROM `chrome-ux-report.country_jp.201902` UNION ALL SELECT *, 'je' AS country_code, 'Jersey' AS country, 'Europe' AS region, 'Northern Europe' AS subregion FROM `chrome-ux-report.country_je.201902` UNION ALL SELECT *, 'jo' AS country_code, 'Jordan' AS country, 'Asia' AS region, 'Western Asia' AS subregion FROM `chrome-ux-report.country_jo.201902` UNION ALL SELECT *, 'kz' AS country_code, 'Kazakhstan' AS country, 'Asia' AS region, 'Central Asia' AS subregion FROM `chrome-ux-report.country_kz.201902` UNION ALL SELECT *, 'ke' AS country_code, 'Kenya' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_ke.201902` UNION ALL SELECT *, 'ki' AS country_code, 'Kiribati' AS country, 'Oceania' AS region, 'Micronesia' AS subregion FROM `chrome-ux-report.country_ki.201902` UNION ALL SELECT *, 'kp' AS country_code, 'Korea (Democratic People\'s Republic of)' AS country, 'Asia' AS region, 'Eastern Asia' AS subregion FROM `chrome-ux-report.country_kp.201902` UNION ALL SELECT *, 'kr' AS country_code, 'Korea (Republic of)' AS country, 'Asia' AS region, 'Eastern Asia' AS subregion FROM `chrome-ux-report.country_kr.201902` UNION ALL SELECT *, 'kw' AS country_code, 'Kuwait' AS country, 'Asia' AS region, 'Western Asia' AS subregion FROM `chrome-ux-report.country_kw.201902` UNION ALL SELECT *, 'kg' AS country_code, 'Kyrgyzstan' AS country, 'Asia' AS region, 'Central Asia' AS subregion FROM `chrome-ux-report.country_kg.201902` UNION ALL SELECT *, 'la' AS country_code, 'Lao People\'s Democratic Republic' AS country, 'Asia' AS region, 'South-Eastern Asia' AS subregion FROM `chrome-ux-report.country_la.201902` UNION ALL SELECT *, 'lv' AS country_code, 'Latvia' AS country, 'Europe' AS region, 'Northern Europe' AS subregion FROM `chrome-ux-report.country_lv.201902` UNION ALL SELECT *, 'lb' AS country_code, 'Lebanon' AS country, 'Asia' AS region, 'Western Asia' AS subregion FROM `chrome-ux-report.country_lb.201902` UNION ALL SELECT *, 'ls' AS country_code, 'Lesotho' AS country, 'Africa' AS region, 'Southern Africa' AS subregion FROM `chrome-ux-report.country_ls.201902` UNION ALL SELECT *, 'lr' AS country_code, 'Liberia' AS country, 'Africa' AS region, 'Western Africa' AS subregion FROM `chrome-ux-report.country_lr.201902` UNION ALL SELECT *, 'ly' AS country_code, 'Libya' AS country, 'Africa' AS region, 'Northern Africa' AS subregion FROM `chrome-ux-report.country_ly.201902` UNION ALL SELECT *, 'li' AS country_code, 'Liechtenstein' AS country, 'Europe' AS region, 'Western Europe' AS subregion FROM `chrome-ux-report.country_li.201902` UNION ALL SELECT *, 'lt' AS country_code, 'Lithuania' AS country, 'Europe' AS region, 'Northern Europe' AS subregion FROM `chrome-ux-report.country_lt.201902` UNION ALL SELECT *, 'lu' AS country_code, 'Luxembourg' AS country, 'Europe' AS region, 'Western Europe' AS subregion FROM `chrome-ux-report.country_lu.201902` UNION ALL SELECT *, 'mo' AS country_code, 'Macao' AS country, 'Asia' AS region, 'Eastern Asia' AS subregion FROM `chrome-ux-report.country_mo.201902` UNION ALL SELECT *, 'mk' AS country_code, 'Macedonia (the former Yugoslav Republic of)' AS country, 'Europe' AS region, 'Southern Europe' AS subregion FROM `chrome-ux-report.country_mk.201902` UNION ALL SELECT *, 'mg' AS country_code, 'Madagascar' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_mg.201902` UNION ALL SELECT *, 'mw' AS country_code, 'Malawi' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_mw.201902` UNION ALL SELECT *, 'my' AS country_code, 'Malaysia' AS country, 'Asia' AS region, 'South-Eastern Asia' AS subregion FROM `chrome-ux-report.country_my.201902` UNION ALL SELECT *, 'mv' AS country_code, 'Maldives' AS country, 'Asia' AS region, 'Southern Asia' AS subregion FROM `chrome-ux-report.country_mv.201902` UNION ALL SELECT *, 'ml' AS country_code, 'Mali' AS country, 'Africa' AS region, 'Western Africa' AS subregion FROM `chrome-ux-report.country_ml.201902` UNION ALL SELECT *, 'mt' AS country_code, 'Malta' AS country, 'Europe' AS region, 'Southern Europe' AS subregion FROM `chrome-ux-report.country_mt.201902` UNION ALL SELECT *, 'mh' AS country_code, 'Marshall Islands' AS country, 'Oceania' AS region, 'Micronesia' AS subregion FROM `chrome-ux-report.country_mh.201902` UNION ALL SELECT *, 'mq' AS country_code, 'Martinique' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_mq.201902` UNION ALL SELECT *, 'mr' AS country_code, 'Mauritania' AS country, 'Africa' AS region, 'Western Africa' AS subregion FROM `chrome-ux-report.country_mr.201902` UNION ALL SELECT *, 'mu' AS country_code, 'Mauritius' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_mu.201902` UNION ALL SELECT *, 'yt' AS country_code, 'Mayotte' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_yt.201902` UNION ALL SELECT *, 'mx' AS country_code, 'Mexico' AS country, 'Americas' AS region, 'Central America' AS subregion FROM `chrome-ux-report.country_mx.201902` UNION ALL SELECT *, 'fm' AS country_code, 'Micronesia (Federated States of)' AS country, 'Oceania' AS region, 'Micronesia' AS subregion FROM `chrome-ux-report.country_fm.201902` UNION ALL SELECT *, 'md' AS country_code, 'Moldova (Republic of)' AS country, 'Europe' AS region, 'Eastern Europe' AS subregion FROM `chrome-ux-report.country_md.201902` UNION ALL SELECT *, 'mc' AS country_code, 'Monaco' AS country, 'Europe' AS region, 'Western Europe' AS subregion FROM `chrome-ux-report.country_mc.201902` UNION ALL SELECT *, 'mn' AS country_code, 'Mongolia' AS country, 'Asia' AS region, 'Eastern Asia' AS subregion FROM `chrome-ux-report.country_mn.201902` UNION ALL SELECT *, 'me' AS country_code, 'Montenegro' AS country, 'Europe' AS region, 'Southern Europe' AS subregion FROM `chrome-ux-report.country_me.201902` UNION ALL SELECT *, 'ms' AS country_code, 'Montserrat' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_ms.201902` UNION ALL SELECT *, 'ma' AS country_code, 'Morocco' AS country, 'Africa' AS region, 'Northern Africa' AS subregion FROM `chrome-ux-report.country_ma.201902` UNION ALL SELECT *, 'mz' AS country_code, 'Mozambique' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_mz.201902` UNION ALL SELECT *, 'mm' AS country_code, 'Myanmar' AS country, 'Asia' AS region, 'South-Eastern Asia' AS subregion FROM `chrome-ux-report.country_mm.201902` UNION ALL SELECT *, 'na' AS country_code, 'Namibia' AS country, 'Africa' AS region, 'Southern Africa' AS subregion FROM `chrome-ux-report.country_na.201902` UNION ALL SELECT *, 'nr' AS country_code, 'Nauru' AS country, 'Oceania' AS region, 'Micronesia' AS subregion FROM `chrome-ux-report.country_nr.201902` UNION ALL SELECT *, 'np' AS country_code, 'Nepal' AS country, 'Asia' AS region, 'Southern Asia' AS subregion FROM `chrome-ux-report.country_np.201902` UNION ALL SELECT *, 'nl' AS country_code, 'Netherlands' AS country, 'Europe' AS region, 'Western Europe' AS subregion FROM `chrome-ux-report.country_nl.201902` UNION ALL SELECT *, 'nc' AS country_code, 'New Caledonia' AS country, 'Oceania' AS region, 'Melanesia' AS subregion FROM `chrome-ux-report.country_nc.201902` UNION ALL SELECT *, 'nz' AS country_code, 'New Zealand' AS country, 'Oceania' AS region, 'Australia and New Zealand' AS subregion FROM `chrome-ux-report.country_nz.201902` UNION ALL SELECT *, 'ni' AS country_code, 'Nicaragua' AS country, 'Americas' AS region, 'Central America' AS subregion FROM `chrome-ux-report.country_ni.201902` UNION ALL SELECT *, 'ne' AS country_code, 'Niger' AS country, 'Africa' AS region, 'Western Africa' AS subregion FROM `chrome-ux-report.country_ne.201902` UNION ALL SELECT *, 'ng' AS country_code, 'Nigeria' AS country, 'Africa' AS region, 'Western Africa' AS subregion FROM `chrome-ux-report.country_ng.201902` UNION ALL SELECT *, 'nf' AS country_code, 'Norfolk Island' AS country, 'Oceania' AS region, 'Australia and New Zealand' AS subregion FROM `chrome-ux-report.country_nf.201902` UNION ALL SELECT *, 'mp' AS country_code, 'Northern Mariana Islands' AS country, 'Oceania' AS region, 'Micronesia' AS subregion FROM `chrome-ux-report.country_mp.201902` UNION ALL SELECT *, 'no' AS country_code, 'Norway' AS country, 'Europe' AS region, 'Northern Europe' AS subregion FROM `chrome-ux-report.country_no.201902` UNION ALL SELECT *, 'om' AS country_code, 'Oman' AS country, 'Asia' AS region, 'Western Asia' AS subregion FROM `chrome-ux-report.country_om.201902` UNION ALL SELECT *, 'pk' AS country_code, 'Pakistan' AS country, 'Asia' AS region, 'Southern Asia' AS subregion FROM `chrome-ux-report.country_pk.201902` UNION ALL SELECT *, 'pw' AS country_code, 'Palau' AS country, 'Oceania' AS region, 'Micronesia' AS subregion FROM `chrome-ux-report.country_pw.201902` UNION ALL SELECT *, 'ps' AS country_code, 'Palestine, State of' AS country, 'Asia' AS region, 'Western Asia' AS subregion FROM `chrome-ux-report.country_ps.201902` UNION ALL SELECT *, 'pa' AS country_code, 'Panama' AS country, 'Americas' AS region, 'Central America' AS subregion FROM `chrome-ux-report.country_pa.201902` UNION ALL SELECT *, 'pg' AS country_code, 'Papua New Guinea' AS country, 'Oceania' AS region, 'Melanesia' AS subregion FROM `chrome-ux-report.country_pg.201902` UNION ALL SELECT *, 'py' AS country_code, 'Paraguay' AS country, 'Americas' AS region, 'South America' AS subregion FROM `chrome-ux-report.country_py.201902` UNION ALL SELECT *, 'pe' AS country_code, 'Peru' AS country, 'Americas' AS region, 'South America' AS subregion FROM `chrome-ux-report.country_pe.201902` UNION ALL SELECT *, 'ph' AS country_code, 'Philippines' AS country, 'Asia' AS region, 'South-Eastern Asia' AS subregion FROM `chrome-ux-report.country_ph.201902` UNION ALL SELECT *, 'pl' AS country_code, 'Poland' AS country, 'Europe' AS region, 'Eastern Europe' AS subregion FROM `chrome-ux-report.country_pl.201902` UNION ALL SELECT *, 'pt' AS country_code, 'Portugal' AS country, 'Europe' AS region, 'Southern Europe' AS subregion FROM `chrome-ux-report.country_pt.201902` UNION ALL SELECT *, 'pr' AS country_code, 'Puerto Rico' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_pr.201902` UNION ALL SELECT *, 'qa' AS country_code, 'Qatar' AS country, 'Asia' AS region, 'Western Asia' AS subregion FROM `chrome-ux-report.country_qa.201902` UNION ALL SELECT *, 're' AS country_code, 'Réunion' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_re.201902` UNION ALL SELECT *, 'ro' AS country_code, 'Romania' AS country, 'Europe' AS region, 'Eastern Europe' AS subregion FROM `chrome-ux-report.country_ro.201902` UNION ALL SELECT *, 'ru' AS country_code, 'Russian Federation' AS country, 'Europe' AS region, 'Eastern Europe' AS subregion FROM `chrome-ux-report.country_ru.201902` UNION ALL SELECT *, 'rw' AS country_code, 'Rwanda' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_rw.201902` UNION ALL SELECT *, 'bl' AS country_code, 'Saint Barthélemy' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_bl.201902` UNION ALL SELECT *, 'sh' AS country_code, 'Saint Helena, Ascension and Tristan da Cunha' AS country, 'Africa' AS region, 'Western Africa' AS subregion FROM `chrome-ux-report.country_sh.201902` UNION ALL SELECT *, 'kn' AS country_code, 'Saint Kitts and Nevis' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_kn.201902` UNION ALL SELECT *, 'lc' AS country_code, 'Saint Lucia' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_lc.201902` UNION ALL SELECT *, 'mf' AS country_code, 'Saint Martin (French part)' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_mf.201902` UNION ALL SELECT *, 'pm' AS country_code, 'Saint Pierre and Miquelon' AS country, 'Americas' AS region, 'Northern America' AS subregion FROM `chrome-ux-report.country_pm.201902` UNION ALL SELECT *, 'vc' AS country_code, 'Saint Vincent and the Grenadines' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_vc.201902` UNION ALL SELECT *, 'ws' AS country_code, 'Samoa' AS country, 'Oceania' AS region, 'Polynesia' AS subregion FROM `chrome-ux-report.country_ws.201902` UNION ALL SELECT *, 'sm' AS country_code, 'San Marino' AS country, 'Europe' AS region, 'Southern Europe' AS subregion FROM `chrome-ux-report.country_sm.201902` UNION ALL SELECT *, 'st' AS country_code, 'Sao Tome and Principe' AS country, 'Africa' AS region, 'Middle Africa' AS subregion FROM `chrome-ux-report.country_st.201902` UNION ALL SELECT *, 'sa' AS country_code, 'Saudi Arabia' AS country, 'Asia' AS region, 'Western Asia' AS subregion FROM `chrome-ux-report.country_sa.201902` UNION ALL SELECT *, 'sn' AS country_code, 'Senegal' AS country, 'Africa' AS region, 'Western Africa' AS subregion FROM `chrome-ux-report.country_sn.201902` UNION ALL SELECT *, 'rs' AS country_code, 'Serbia' AS country, 'Europe' AS region, 'Southern Europe' AS subregion FROM `chrome-ux-report.country_rs.201902` UNION ALL SELECT *, 'sc' AS country_code, 'Seychelles' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_sc.201902` UNION ALL SELECT *, 'sl' AS country_code, 'Sierra Leone' AS country, 'Africa' AS region, 'Western Africa' AS subregion FROM `chrome-ux-report.country_sl.201902` UNION ALL SELECT *, 'sg' AS country_code, 'Singapore' AS country, 'Asia' AS region, 'South-Eastern Asia' AS subregion FROM `chrome-ux-report.country_sg.201902` UNION ALL SELECT *, 'sx' AS country_code, 'Sint Maarten (Dutch part)' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_sx.201902` UNION ALL SELECT *, 'sk' AS country_code, 'Slovakia' AS country, 'Europe' AS region, 'Eastern Europe' AS subregion FROM `chrome-ux-report.country_sk.201902` UNION ALL SELECT *, 'si' AS country_code, 'Slovenia' AS country, 'Europe' AS region, 'Southern Europe' AS subregion FROM `chrome-ux-report.country_si.201902` UNION ALL SELECT *, 'sb' AS country_code, 'Solomon Islands' AS country, 'Oceania' AS region, 'Melanesia' AS subregion FROM `chrome-ux-report.country_sb.201902` UNION ALL SELECT *, 'so' AS country_code, 'Somalia' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_so.201902` UNION ALL SELECT *, 'za' AS country_code, 'South Africa' AS country, 'Africa' AS region, 'Southern Africa' AS subregion FROM `chrome-ux-report.country_za.201902` UNION ALL SELECT *, 'ss' AS country_code, 'South Sudan' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_ss.201902` UNION ALL SELECT *, 'es' AS country_code, 'Spain' AS country, 'Europe' AS region, 'Southern Europe' AS subregion FROM `chrome-ux-report.country_es.201902` UNION ALL SELECT *, 'lk' AS country_code, 'Sri Lanka' AS country, 'Asia' AS region, 'Southern Asia' AS subregion FROM `chrome-ux-report.country_lk.201902` UNION ALL SELECT *, 'sd' AS country_code, 'Sudan' AS country, 'Africa' AS region, 'Northern Africa' AS subregion FROM `chrome-ux-report.country_sd.201902` UNION ALL SELECT *, 'sr' AS country_code, 'Suriname' AS country, 'Americas' AS region, 'South America' AS subregion FROM `chrome-ux-report.country_sr.201902` UNION ALL SELECT *, 'sj' AS country_code, 'Svalbard and Jan Mayen' AS country, 'Europe' AS region, 'Northern Europe' AS subregion FROM `chrome-ux-report.country_sj.201902` UNION ALL SELECT *, 'sz' AS country_code, 'Swaziland' AS country, 'Africa' AS region, 'Southern Africa' AS subregion FROM `chrome-ux-report.country_sz.201902` UNION ALL SELECT *, 'se' AS country_code, 'Sweden' AS country, 'Europe' AS region, 'Northern Europe' AS subregion FROM `chrome-ux-report.country_se.201902` UNION ALL SELECT *, 'ch' AS country_code, 'Switzerland' AS country, 'Europe' AS region, 'Western Europe' AS subregion FROM `chrome-ux-report.country_ch.201902` UNION ALL SELECT *, 'sy' AS country_code, 'Syrian Arab Republic' AS country, 'Asia' AS region, 'Western Asia' AS subregion FROM `chrome-ux-report.country_sy.201902` UNION ALL SELECT *, 'tw' AS country_code, 'Taiwan, Province of China' AS country, 'Asia' AS region, 'Eastern Asia' AS subregion FROM `chrome-ux-report.country_tw.201902` UNION ALL SELECT *, 'tj' AS country_code, 'Tajikistan' AS country, 'Asia' AS region, 'Central Asia' AS subregion FROM `chrome-ux-report.country_tj.201902` UNION ALL SELECT *, 'tz' AS country_code, 'Tanzania, United Republic of' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_tz.201902` UNION ALL SELECT *, 'th' AS country_code, 'Thailand' AS country, 'Asia' AS region, 'South-Eastern Asia' AS subregion FROM `chrome-ux-report.country_th.201902` UNION ALL SELECT *, 'tl' AS country_code, 'Timor-Leste' AS country, 'Asia' AS region, 'South-Eastern Asia' AS subregion FROM `chrome-ux-report.country_tl.201902` UNION ALL SELECT *, 'tg' AS country_code, 'Togo' AS country, 'Africa' AS region, 'Western Africa' AS subregion FROM `chrome-ux-report.country_tg.201902` UNION ALL SELECT *, 'to' AS country_code, 'Tonga' AS country, 'Oceania' AS region, 'Polynesia' AS subregion FROM `chrome-ux-report.country_to.201902` UNION ALL SELECT *, 'tt' AS country_code, 'Trinidad and Tobago' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_tt.201902` UNION ALL SELECT *, 'tn' AS country_code, 'Tunisia' AS country, 'Africa' AS region, 'Northern Africa' AS subregion FROM `chrome-ux-report.country_tn.201902` UNION ALL SELECT *, 'tr' AS country_code, 'Turkey' AS country, 'Asia' AS region, 'Western Asia' AS subregion FROM `chrome-ux-report.country_tr.201902` UNION ALL SELECT *, 'tm' AS country_code, 'Turkmenistan' AS country, 'Asia' AS region, 'Central Asia' AS subregion FROM `chrome-ux-report.country_tm.201902` UNION ALL SELECT *, 'tc' AS country_code, 'Turks and Caicos Islands' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_tc.201902` UNION ALL SELECT *, 'tv' AS country_code, 'Tuvalu' AS country, 'Oceania' AS region, 'Polynesia' AS subregion FROM `chrome-ux-report.country_tv.201902` UNION ALL SELECT *, 'ug' AS country_code, 'Uganda' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_ug.201902` UNION ALL SELECT *, 'ua' AS country_code, 'Ukraine' AS country, 'Europe' AS region, 'Eastern Europe' AS subregion FROM `chrome-ux-report.country_ua.201902` UNION ALL SELECT *, 'ae' AS country_code, 'United Arab Emirates' AS country, 'Asia' AS region, 'Western Asia' AS subregion FROM `chrome-ux-report.country_ae.201902` UNION ALL SELECT *, 'gb' AS country_code, 'United Kingdom of Great Britain and Northern Ireland' AS country, 'Europe' AS region, 'Northern Europe' AS subregion FROM `chrome-ux-report.country_gb.201902` UNION ALL SELECT *, 'us' AS country_code, 'United States of America' AS country, 'Americas' AS region, 'Northern America' AS subregion FROM `chrome-ux-report.country_us.201902` UNION ALL SELECT *, 'uy' AS country_code, 'Uruguay' AS country, 'Americas' AS region, 'South America' AS subregion FROM `chrome-ux-report.country_uy.201902` UNION ALL SELECT *, 'uz' AS country_code, 'Uzbekistan' AS country, 'Asia' AS region, 'Central Asia' AS subregion FROM `chrome-ux-report.country_uz.201902` UNION ALL SELECT *, 'vu' AS country_code, 'Vanuatu' AS country, 'Oceania' AS region, 'Melanesia' AS subregion FROM `chrome-ux-report.country_vu.201902` UNION ALL SELECT *, 've' AS country_code, 'Venezuela (Bolivarian Republic of)' AS country, 'Americas' AS region, 'South America' AS subregion FROM `chrome-ux-report.country_ve.201902` UNION ALL SELECT *, 'vn' AS country_code, 'Viet Nam' AS country, 'Asia' AS region, 'South-Eastern Asia' AS subregion FROM `chrome-ux-report.country_vn.201902` UNION ALL SELECT *, 'vg' AS country_code, 'Virgin Islands (British)' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_vg.201902` UNION ALL SELECT *, 'vi' AS country_code, 'Virgin Islands (U.S.)' AS country, 'Americas' AS region, 'Caribbean' AS subregion FROM `chrome-ux-report.country_vi.201902` UNION ALL SELECT *, 'eh' AS country_code, 'Western Sahara' AS country, 'Africa' AS region, 'Northern Africa' AS subregion FROM `chrome-ux-report.country_eh.201902` UNION ALL SELECT *, 'ye' AS country_code, 'Yemen' AS country, 'Asia' AS region, 'Western Asia' AS subregion FROM `chrome-ux-report.country_ye.201902` UNION ALL SELECT *, 'zm' AS country_code, 'Zambia' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_zm.201902` UNION ALL SELECT *, 'zw' AS country_code, 'Zimbabwe' AS country, 'Africa' AS region, 'Eastern Africa' AS subregion FROM `chrome-ux-report.country_zw.201902` UNION ALL SELECT *, 'xk' AS country_code, 'Kosovo' AS country, 'Europe' AS region, 'Eastern Europe' AS subregion FROM `chrome-ux-report.country_xk.201902`) SELECT subregion, SUM(IF(fcp.start < 1000, fcp.density, 0)) / SUM(fcp.density) AS fast_fcp FROM countries, UNNEST(first_contentful_paint.histogram.bin) AS fcp GROUP BY subregion ORDER BY fast_fcp DESC ================================================ FILE: sql/test-my-site.sql ================================================ #standardSQL # Emulates the analysis on https://www.thinkwithgoogle.com/feature/testmysite SELECT `chrome-ux-report`.experimental.PERCENTILE(ARRAY_AGG(bin), 75) AS p75_lcp FROM `chrome-ux-report.experimental.country`, UNNEST(largest_contentful_paint.histogram.bin) AS bin WHERE yyyymm = 202001 AND country_code = 'us' AND origin = 'https://www.example.com' AND effective_connection_type.name = '4G' AND form_factor.name != 'desktop' ================================================ FILE: sql/timeseries-fast-fcp.sql ================================================ #standardSQL # Gets a month-to-month sequence of % fast FCP for a given origin. SELECT _TABLE_SUFFIX AS yyyymm, SUM(fcp.density) AS pct_fast_fcp FROM `chrome-ux-report.all.*`, UNNEST(first_contentful_paint.histogram.bin) AS fcp WHERE origin = 'http://example.com' AND fcp.start < 1000 GROUP BY yyyymm ORDER BY yyyymm ================================================ FILE: utils/countries.js ================================================ // The table to query for each country. // Feeling adventurous? Use '*' to query all monthly releases. var CRUX_MONTH = '201902'; // Given the countries.json object, transform it into SQL. For example: // SELECT *, 'af' AS country_code, 'Afghanistan' AS country, 'Asia' AS region, 'Southern Asia' AS subregion FROM `chrome-ux-report.country_af.201902` UNION ALL // SELECT *, 'ax' AS country_code, 'Åland Islands' AS country, 'Europe' AS region, 'Northern Europe' AS subregion FROM `chrome-ux-report.country_ax.201902` UNION AL // ... var countries = Object.entries(countries).map(([code, country]) => { return `SELECT *, '${code}' AS country_code, ` + // Escape country names with apostrophies. `'${country.name.replace(`'`, `\\'`)}' AS country, ` + `'${country.region || ''}' AS region, ` + `'${country['sub-region']}' AS subregion ` + `FROM \`chrome-ux-report.country_${code}.${CRUX_MONTH}\``; }).join(' UNION ALL\n '); console.log(`WITH countries AS ( ${countries} )`); ================================================ FILE: utils/countries.json ================================================ { "af": { "name": "Afghanistan", "region": "Asia", "sub-region": "Southern Asia" }, "ax": { "name": "Åland Islands", "region": "Europe", "sub-region": "Northern Europe" }, "al": { "name": "Albania", "region": "Europe", "sub-region": "Southern Europe" }, "dz": { "name": "Algeria", "region": "Africa", "sub-region": "Northern Africa" }, "as": { "name": "American Samoa", "region": "Oceania", "sub-region": "Polynesia" }, "ad": { "name": "Andorra", "region": "Europe", "sub-region": "Southern Europe" }, "ao": { "name": "Angola", "region": "Africa", "sub-region": "Middle Africa" }, "ai": { "name": "Anguilla", "region": "Americas", "sub-region": "Caribbean" }, "ag": { "name": "Antigua and Barbuda", "region": "Americas", "sub-region": "Caribbean" }, "ar": { "name": "Argentina", "region": "Americas", "sub-region": "South America" }, "am": { "name": "Armenia", "region": "Asia", "sub-region": "Western Asia" }, "aw": { "name": "Aruba", "region": "Americas", "sub-region": "Caribbean" }, "au": { "name": "Australia", "region": "Oceania", "sub-region": "Australia and New Zealand" }, "at": { "name": "Austria", "region": "Europe", "sub-region": "Western Europe" }, "az": { "name": "Azerbaijan", "region": "Asia", "sub-region": "Western Asia" }, "bs": { "name": "Bahamas", "region": "Americas", "sub-region": "Caribbean" }, "bh": { "name": "Bahrain", "region": "Asia", "sub-region": "Western Asia" }, "bd": { "name": "Bangladesh", "region": "Asia", "sub-region": "Southern Asia" }, "bb": { "name": "Barbados", "region": "Americas", "sub-region": "Caribbean" }, "by": { "name": "Belarus", "region": "Europe", "sub-region": "Eastern Europe" }, "be": { "name": "Belgium", "region": "Europe", "sub-region": "Western Europe" }, "bz": { "name": "Belize", "region": "Americas", "sub-region": "Central America" }, "bj": { "name": "Benin", "region": "Africa", "sub-region": "Western Africa" }, "bm": { "name": "Bermuda", "region": "Americas", "sub-region": "Northern America" }, "bt": { "name": "Bhutan", "region": "Asia", "sub-region": "Southern Asia" }, "bo": { "name": "Bolivia (Plurinational State of)", "region": "Americas", "sub-region": "South America" }, "bq": { "name": "Bonaire, Sint Eustatius and Saba", "region": "Americas", "sub-region": "Caribbean" }, "ba": { "name": "Bosnia and Herzegovina", "region": "Europe", "sub-region": "Southern Europe" }, "bw": { "name": "Botswana", "region": "Africa", "sub-region": "Southern Africa" }, "br": { "name": "Brazil", "region": "Americas", "sub-region": "South America" }, "io": { "name": "British Indian Ocean Territory", "region": null, "sub-region": null }, "bn": { "name": "Brunei Darussalam", "region": "Asia", "sub-region": "South-Eastern Asia" }, "bg": { "name": "Bulgaria", "region": "Europe", "sub-region": "Eastern Europe" }, "bf": { "name": "Burkina Faso", "region": "Africa", "sub-region": "Western Africa" }, "bi": { "name": "Burundi", "region": "Africa", "sub-region": "Eastern Africa" }, "kh": { "name": "Cambodia", "region": "Asia", "sub-region": "South-Eastern Asia" }, "cm": { "name": "Cameroon", "region": "Africa", "sub-region": "Middle Africa" }, "ca": { "name": "Canada", "region": "Americas", "sub-region": "Northern America" }, "cv": { "name": "Cabo Verde", "region": "Africa", "sub-region": "Western Africa" }, "ky": { "name": "Cayman Islands", "region": "Americas", "sub-region": "Caribbean" }, "cf": { "name": "Central African Republic", "region": "Africa", "sub-region": "Middle Africa" }, "td": { "name": "Chad", "region": "Africa", "sub-region": "Middle Africa" }, "cl": { "name": "Chile", "region": "Americas", "sub-region": "South America" }, "cn": { "name": "China", "region": "Asia", "sub-region": "Eastern Asia" }, "cx": { "name": "Christmas Island", "region": null, "sub-region": null }, "co": { "name": "Colombia", "region": "Americas", "sub-region": "South America" }, "km": { "name": "Comoros", "region": "Africa", "sub-region": "Eastern Africa" }, "cg": { "name": "Congo", "region": "Africa", "sub-region": "Middle Africa" }, "cd": { "name": "Congo (Democratic Republic of the)", "region": "Africa", "sub-region": "Middle Africa" }, "ck": { "name": "Cook Islands", "region": "Oceania", "sub-region": "Polynesia" }, "cr": { "name": "Costa Rica", "region": "Americas", "sub-region": "Central America" }, "ci": { "name": "Côte d'Ivoire", "region": "Africa", "sub-region": "Western Africa" }, "hr": { "name": "Croatia", "region": "Europe", "sub-region": "Southern Europe" }, "cu": { "name": "Cuba", "region": "Americas", "sub-region": "Caribbean" }, "cw": { "name": "Curaçao", "region": "Americas", "sub-region": "Caribbean" }, "cy": { "name": "Cyprus", "region": "Asia", "sub-region": "Western Asia" }, "cz": { "name": "Czech Republic", "region": "Europe", "sub-region": "Eastern Europe" }, "dk": { "name": "Denmark", "region": "Europe", "sub-region": "Northern Europe" }, "dj": { "name": "Djibouti", "region": "Africa", "sub-region": "Eastern Africa" }, "dm": { "name": "Dominica", "region": "Americas", "sub-region": "Caribbean" }, "do": { "name": "Dominican Republic", "region": "Americas", "sub-region": "Caribbean" }, "ec": { "name": "Ecuador", "region": "Americas", "sub-region": "South America" }, "eg": { "name": "Egypt", "region": "Africa", "sub-region": "Northern Africa" }, "sv": { "name": "El Salvador", "region": "Americas", "sub-region": "Central America" }, "gq": { "name": "Equatorial Guinea", "region": "Africa", "sub-region": "Middle Africa" }, "er": { "name": "Eritrea", "region": "Africa", "sub-region": "Eastern Africa" }, "ee": { "name": "Estonia", "region": "Europe", "sub-region": "Northern Europe" }, "et": { "name": "Ethiopia", "region": "Africa", "sub-region": "Eastern Africa" }, "fk": { "name": "Falkland Islands (Malvinas)", "region": "Americas", "sub-region": "South America" }, "fo": { "name": "Faroe Islands", "region": "Europe", "sub-region": "Northern Europe" }, "fj": { "name": "Fiji", "region": "Oceania", "sub-region": "Melanesia" }, "fi": { "name": "Finland", "region": "Europe", "sub-region": "Northern Europe" }, "fr": { "name": "France", "region": "Europe", "sub-region": "Western Europe" }, "gf": { "name": "French Guiana", "region": "Americas", "sub-region": "South America" }, "pf": { "name": "French Polynesia", "region": "Oceania", "sub-region": "Polynesia" }, "ga": { "name": "Gabon", "region": "Africa", "sub-region": "Middle Africa" }, "gm": { "name": "Gambia", "region": "Africa", "sub-region": "Western Africa" }, "ge": { "name": "Georgia", "region": "Asia", "sub-region": "Western Asia" }, "de": { "name": "Germany", "region": "Europe", "sub-region": "Western Europe" }, "gh": { "name": "Ghana", "region": "Africa", "sub-region": "Western Africa" }, "gi": { "name": "Gibraltar", "region": "Europe", "sub-region": "Southern Europe" }, "gr": { "name": "Greece", "region": "Europe", "sub-region": "Southern Europe" }, "gl": { "name": "Greenland", "region": "Americas", "sub-region": "Northern America" }, "gd": { "name": "Grenada", "region": "Americas", "sub-region": "Caribbean" }, "gp": { "name": "Guadeloupe", "region": "Americas", "sub-region": "Caribbean" }, "gu": { "name": "Guam", "region": "Oceania", "sub-region": "Micronesia" }, "gt": { "name": "Guatemala", "region": "Americas", "sub-region": "Central America" }, "gg": { "name": "Guernsey", "region": "Europe", "sub-region": "Northern Europe" }, "gn": { "name": "Guinea", "region": "Africa", "sub-region": "Western Africa" }, "gw": { "name": "Guinea-Bissau", "region": "Africa", "sub-region": "Western Africa" }, "gy": { "name": "Guyana", "region": "Americas", "sub-region": "South America" }, "ht": { "name": "Haiti", "region": "Americas", "sub-region": "Caribbean" }, "hn": { "name": "Honduras", "region": "Americas", "sub-region": "Central America" }, "hk": { "name": "Hong Kong", "region": "Asia", "sub-region": "Eastern Asia" }, "hu": { "name": "Hungary", "region": "Europe", "sub-region": "Eastern Europe" }, "is": { "name": "Iceland", "region": "Europe", "sub-region": "Northern Europe" }, "in": { "name": "India", "region": "Asia", "sub-region": "Southern Asia" }, "id": { "name": "Indonesia", "region": "Asia", "sub-region": "South-Eastern Asia" }, "ir": { "name": "Iran (Islamic Republic of)", "region": "Asia", "sub-region": "Southern Asia" }, "iq": { "name": "Iraq", "region": "Asia", "sub-region": "Western Asia" }, "ie": { "name": "Ireland", "region": "Europe", "sub-region": "Northern Europe" }, "im": { "name": "Isle of Man", "region": "Europe", "sub-region": "Northern Europe" }, "il": { "name": "Israel", "region": "Asia", "sub-region": "Western Asia" }, "it": { "name": "Italy", "region": "Europe", "sub-region": "Southern Europe" }, "jm": { "name": "Jamaica", "region": "Americas", "sub-region": "Caribbean" }, "jp": { "name": "Japan", "region": "Asia", "sub-region": "Eastern Asia" }, "je": { "name": "Jersey", "region": "Europe", "sub-region": "Northern Europe" }, "jo": { "name": "Jordan", "region": "Asia", "sub-region": "Western Asia" }, "kz": { "name": "Kazakhstan", "region": "Asia", "sub-region": "Central Asia" }, "ke": { "name": "Kenya", "region": "Africa", "sub-region": "Eastern Africa" }, "ki": { "name": "Kiribati", "region": "Oceania", "sub-region": "Micronesia" }, "kp": { "name": "Korea (Democratic People's Republic of)", "region": "Asia", "sub-region": "Eastern Asia" }, "kr": { "name": "Korea (Republic of)", "region": "Asia", "sub-region": "Eastern Asia" }, "kw": { "name": "Kuwait", "region": "Asia", "sub-region": "Western Asia" }, "kg": { "name": "Kyrgyzstan", "region": "Asia", "sub-region": "Central Asia" }, "la": { "name": "Lao People's Democratic Republic", "region": "Asia", "sub-region": "South-Eastern Asia" }, "lv": { "name": "Latvia", "region": "Europe", "sub-region": "Northern Europe" }, "lb": { "name": "Lebanon", "region": "Asia", "sub-region": "Western Asia" }, "ls": { "name": "Lesotho", "region": "Africa", "sub-region": "Southern Africa" }, "lr": { "name": "Liberia", "region": "Africa", "sub-region": "Western Africa" }, "ly": { "name": "Libya", "region": "Africa", "sub-region": "Northern Africa" }, "li": { "name": "Liechtenstein", "region": "Europe", "sub-region": "Western Europe" }, "lt": { "name": "Lithuania", "region": "Europe", "sub-region": "Northern Europe" }, "lu": { "name": "Luxembourg", "region": "Europe", "sub-region": "Western Europe" }, "mo": { "name": "Macao", "region": "Asia", "sub-region": "Eastern Asia" }, "mk": { "name": "Macedonia (the former Yugoslav Republic of)", "region": "Europe", "sub-region": "Southern Europe" }, "mg": { "name": "Madagascar", "region": "Africa", "sub-region": "Eastern Africa" }, "mw": { "name": "Malawi", "region": "Africa", "sub-region": "Eastern Africa" }, "my": { "name": "Malaysia", "region": "Asia", "sub-region": "South-Eastern Asia" }, "mv": { "name": "Maldives", "region": "Asia", "sub-region": "Southern Asia" }, "ml": { "name": "Mali", "region": "Africa", "sub-region": "Western Africa" }, "mt": { "name": "Malta", "region": "Europe", "sub-region": "Southern Europe" }, "mh": { "name": "Marshall Islands", "region": "Oceania", "sub-region": "Micronesia" }, "mq": { "name": "Martinique", "region": "Americas", "sub-region": "Caribbean" }, "mr": { "name": "Mauritania", "region": "Africa", "sub-region": "Western Africa" }, "mu": { "name": "Mauritius", "region": "Africa", "sub-region": "Eastern Africa" }, "yt": { "name": "Mayotte", "region": "Africa", "sub-region": "Eastern Africa" }, "mx": { "name": "Mexico", "region": "Americas", "sub-region": "Central America" }, "fm": { "name": "Micronesia (Federated States of)", "region": "Oceania", "sub-region": "Micronesia" }, "md": { "name": "Moldova (Republic of)", "region": "Europe", "sub-region": "Eastern Europe" }, "mc": { "name": "Monaco", "region": "Europe", "sub-region": "Western Europe" }, "mn": { "name": "Mongolia", "region": "Asia", "sub-region": "Eastern Asia" }, "me": { "name": "Montenegro", "region": "Europe", "sub-region": "Southern Europe" }, "ms": { "name": "Montserrat", "region": "Americas", "sub-region": "Caribbean" }, "ma": { "name": "Morocco", "region": "Africa", "sub-region": "Northern Africa" }, "mz": { "name": "Mozambique", "region": "Africa", "sub-region": "Eastern Africa" }, "mm": { "name": "Myanmar", "region": "Asia", "sub-region": "South-Eastern Asia" }, "na": { "name": "Namibia", "region": "Africa", "sub-region": "Southern Africa" }, "nr": { "name": "Nauru", "region": "Oceania", "sub-region": "Micronesia" }, "np": { "name": "Nepal", "region": "Asia", "sub-region": "Southern Asia" }, "nl": { "name": "Netherlands", "region": "Europe", "sub-region": "Western Europe" }, "nc": { "name": "New Caledonia", "region": "Oceania", "sub-region": "Melanesia" }, "nz": { "name": "New Zealand", "region": "Oceania", "sub-region": "Australia and New Zealand" }, "ni": { "name": "Nicaragua", "region": "Americas", "sub-region": "Central America" }, "ne": { "name": "Niger", "region": "Africa", "sub-region": "Western Africa" }, "ng": { "name": "Nigeria", "region": "Africa", "sub-region": "Western Africa" }, "nf": { "name": "Norfolk Island", "region": "Oceania", "sub-region": "Australia and New Zealand" }, "mp": { "name": "Northern Mariana Islands", "region": "Oceania", "sub-region": "Micronesia" }, "no": { "name": "Norway", "region": "Europe", "sub-region": "Northern Europe" }, "om": { "name": "Oman", "region": "Asia", "sub-region": "Western Asia" }, "pk": { "name": "Pakistan", "region": "Asia", "sub-region": "Southern Asia" }, "pw": { "name": "Palau", "region": "Oceania", "sub-region": "Micronesia" }, "ps": { "name": "Palestine, State of", "region": "Asia", "sub-region": "Western Asia" }, "pa": { "name": "Panama", "region": "Americas", "sub-region": "Central America" }, "pg": { "name": "Papua New Guinea", "region": "Oceania", "sub-region": "Melanesia" }, "py": { "name": "Paraguay", "region": "Americas", "sub-region": "South America" }, "pe": { "name": "Peru", "region": "Americas", "sub-region": "South America" }, "ph": { "name": "Philippines", "region": "Asia", "sub-region": "South-Eastern Asia" }, "pl": { "name": "Poland", "region": "Europe", "sub-region": "Eastern Europe" }, "pt": { "name": "Portugal", "region": "Europe", "sub-region": "Southern Europe" }, "pr": { "name": "Puerto Rico", "region": "Americas", "sub-region": "Caribbean" }, "qa": { "name": "Qatar", "region": "Asia", "sub-region": "Western Asia" }, "re": { "name": "Réunion", "region": "Africa", "sub-region": "Eastern Africa" }, "ro": { "name": "Romania", "region": "Europe", "sub-region": "Eastern Europe" }, "ru": { "name": "Russian Federation", "region": "Europe", "sub-region": "Eastern Europe" }, "rw": { "name": "Rwanda", "region": "Africa", "sub-region": "Eastern Africa" }, "bl": { "name": "Saint Barthélemy", "region": "Americas", "sub-region": "Caribbean" }, "sh": { "name": "Saint Helena, Ascension and Tristan da Cunha", "region": "Africa", "sub-region": "Western Africa" }, "kn": { "name": "Saint Kitts and Nevis", "region": "Americas", "sub-region": "Caribbean" }, "lc": { "name": "Saint Lucia", "region": "Americas", "sub-region": "Caribbean" }, "mf": { "name": "Saint Martin (French part)", "region": "Americas", "sub-region": "Caribbean" }, "pm": { "name": "Saint Pierre and Miquelon", "region": "Americas", "sub-region": "Northern America" }, "vc": { "name": "Saint Vincent and the Grenadines", "region": "Americas", "sub-region": "Caribbean" }, "ws": { "name": "Samoa", "region": "Oceania", "sub-region": "Polynesia" }, "sm": { "name": "San Marino", "region": "Europe", "sub-region": "Southern Europe" }, "st": { "name": "Sao Tome and Principe", "region": "Africa", "sub-region": "Middle Africa" }, "sa": { "name": "Saudi Arabia", "region": "Asia", "sub-region": "Western Asia" }, "sn": { "name": "Senegal", "region": "Africa", "sub-region": "Western Africa" }, "rs": { "name": "Serbia", "region": "Europe", "sub-region": "Southern Europe" }, "sc": { "name": "Seychelles", "region": "Africa", "sub-region": "Eastern Africa" }, "sl": { "name": "Sierra Leone", "region": "Africa", "sub-region": "Western Africa" }, "sg": { "name": "Singapore", "region": "Asia", "sub-region": "South-Eastern Asia" }, "sx": { "name": "Sint Maarten (Dutch part)", "region": "Americas", "sub-region": "Caribbean" }, "sk": { "name": "Slovakia", "region": "Europe", "sub-region": "Eastern Europe" }, "si": { "name": "Slovenia", "region": "Europe", "sub-region": "Southern Europe" }, "sb": { "name": "Solomon Islands", "region": "Oceania", "sub-region": "Melanesia" }, "so": { "name": "Somalia", "region": "Africa", "sub-region": "Eastern Africa" }, "za": { "name": "South Africa", "region": "Africa", "sub-region": "Southern Africa" }, "ss": { "name": "South Sudan", "region": "Africa", "sub-region": "Eastern Africa" }, "es": { "name": "Spain", "region": "Europe", "sub-region": "Southern Europe" }, "lk": { "name": "Sri Lanka", "region": "Asia", "sub-region": "Southern Asia" }, "sd": { "name": "Sudan", "region": "Africa", "sub-region": "Northern Africa" }, "sr": { "name": "Suriname", "region": "Americas", "sub-region": "South America" }, "sj": { "name": "Svalbard and Jan Mayen", "region": "Europe", "sub-region": "Northern Europe" }, "sz": { "name": "Swaziland", "region": "Africa", "sub-region": "Southern Africa" }, "se": { "name": "Sweden", "region": "Europe", "sub-region": "Northern Europe" }, "ch": { "name": "Switzerland", "region": "Europe", "sub-region": "Western Europe" }, "sy": { "name": "Syrian Arab Republic", "region": "Asia", "sub-region": "Western Asia" }, "tw": { "name": "Taiwan, Province of China", "region": "Asia", "sub-region": "Eastern Asia" }, "tj": { "name": "Tajikistan", "region": "Asia", "sub-region": "Central Asia" }, "tz": { "name": "Tanzania, United Republic of", "region": "Africa", "sub-region": "Eastern Africa" }, "th": { "name": "Thailand", "region": "Asia", "sub-region": "South-Eastern Asia" }, "tl": { "name": "Timor-Leste", "region": "Asia", "sub-region": "South-Eastern Asia" }, "tg": { "name": "Togo", "region": "Africa", "sub-region": "Western Africa" }, "to": { "name": "Tonga", "region": "Oceania", "sub-region": "Polynesia" }, "tt": { "name": "Trinidad and Tobago", "region": "Americas", "sub-region": "Caribbean" }, "tn": { "name": "Tunisia", "region": "Africa", "sub-region": "Northern Africa" }, "tr": { "name": "Turkey", "region": "Asia", "sub-region": "Western Asia" }, "tm": { "name": "Turkmenistan", "region": "Asia", "sub-region": "Central Asia" }, "tc": { "name": "Turks and Caicos Islands", "region": "Americas", "sub-region": "Caribbean" }, "tv": { "name": "Tuvalu", "region": "Oceania", "sub-region": "Polynesia" }, "ug": { "name": "Uganda", "region": "Africa", "sub-region": "Eastern Africa" }, "ua": { "name": "Ukraine", "region": "Europe", "sub-region": "Eastern Europe" }, "ae": { "name": "United Arab Emirates", "region": "Asia", "sub-region": "Western Asia" }, "gb": { "name": "United Kingdom of Great Britain and Northern Ireland", "region": "Europe", "sub-region": "Northern Europe" }, "us": { "name": "United States of America", "region": "Americas", "sub-region": "Northern America" }, "uy": { "name": "Uruguay", "region": "Americas", "sub-region": "South America" }, "uz": { "name": "Uzbekistan", "region": "Asia", "sub-region": "Central Asia" }, "vu": { "name": "Vanuatu", "region": "Oceania", "sub-region": "Melanesia" }, "ve": { "name": "Venezuela (Bolivarian Republic of)", "region": "Americas", "sub-region": "South America" }, "vn": { "name": "Viet Nam", "region": "Asia", "sub-region": "South-Eastern Asia" }, "vg": { "name": "Virgin Islands (British)", "region": "Americas", "sub-region": "Caribbean" }, "vi": { "name": "Virgin Islands (U.S.)", "region": "Americas", "sub-region": "Caribbean" }, "eh": { "name": "Western Sahara", "region": "Africa", "sub-region": "Northern Africa" }, "ye": { "name": "Yemen", "region": "Asia", "sub-region": "Western Asia" }, "zm": { "name": "Zambia", "region": "Africa", "sub-region": "Eastern Africa" }, "zw": { "name": "Zimbabwe", "region": "Africa", "sub-region": "Eastern Africa" }, "xk": { "name": "Kosovo", "region": "Europe", "sub-region": "Eastern Europe" } } ================================================ FILE: utils/countries.txt ================================================ country_ad country_ae country_af country_ag country_ai country_al country_am country_ao country_ar country_as country_at country_au country_aw country_ax country_az country_ba country_bb country_bd country_be country_bf country_bg country_bh country_bi country_bj country_bl country_bm country_bn country_bo country_bq country_br country_bs country_bt country_bw country_by country_bz country_ca country_cd country_cf country_cg country_ch country_ci country_ck country_cl country_cm country_cn country_co country_cr country_cu country_cv country_cw country_cx country_cy country_cz country_de country_dj country_dk country_dm country_do country_dz country_ec country_ee country_eg country_eh country_er country_es country_et country_fi country_fj country_fk country_fm country_fo country_fr country_ga country_gb 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