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class="margin-left-xxs">Print</span> </button> </div> </details> </div></div> </div> <!-- end article-header --><div> <button type="button" class="border contents-button button button-clear button-sm is-hidden-tablet has-inner-focus" data-bi-name="contents-expand" data-contents-button hidden> <span class="icon"> <span class="docon docon-editor-list-bullet" aria-hidden="true"></span> </span><span class="contents-expand-title">Table of contents</span></button> </div><!-- end mobile-contents button --> <div class="content "><h1 id="bing-covid-19">Bing COVID-19</h1><div class="display-flex justify-content-space-between align-items-center flex-wrap-wrap page-metadata-container"> <div class="margin-right-xxs"> <ul class="metadata page-metadata" data-bi-name="page info" lang="en-us" dir="ltr"><li>Article</li><li class="visibility-hidden-visual-diff"><time class="is-invisible" data-article-date aria-label="Article review date" datetime="2024-08-28T16:59:00Z" data-article-date-source="calculated">08/28/2024</time> </li><li class="contributors-holder display-none-print"> <button aria-label="View all contributors" class="contributors-button link-button" data-bi-name="contributors" title="View all contributors">4 contributors</button> </li></ul> </div> <div id="user-feedback" class="margin-block-xxs display-none-print" data-hide-on-archived> <button id="user-feedback-button" data-test-id="conceptual-feedback-button" class="button button-sm button-clear button-primary" type="button" data-bi-name="user-feedback-button" data-user-feedback-button > <span class="icon" aria-hidden="true"> <span class="docon docon-like"></span> </span> <span>Feedback</span> </button> </div></div><nav id="center-doc-outline" class="doc-outline is-hidden-desktop display-none-print margin-bottom-sm" data-bi-name="intopic toc" aria-label="In this article"> <h2 id="ms--in-this-article" class="title is-6 margin-block-xs">In this article</h2> </nav><!-- <content> --><p>Bing COVID-19 data includes confirmed, fatal, and recovered cases from all regions, updated daily. The <a href="https://bing.com/covid" data-linktype="external">Bing COVID-19 Tracker</a> reflects this data.</p> <p>Bing collects data from multiple trusted, reliable sources, including:</p> <ul> <li><a href="https://bnonews.com/index.php/2020/04/the-latest-coronavirus-cases/" data-linktype="external">BNO News</a></li> <li><a href="https://www.cdc.gov/covid/index.html" data-linktype="external">Centers for Disease Control and Prevention (CDC)</a></li> <li>National/regional and state public health departments</li> <li><a href="https://en.wikipedia.org/wiki/2019%E2%80%9320_coronavirus_pandemic" data-linktype="external">Wikipedia</a></li> <li>The <a href="https://www.who.int/emergencies/diseases/novel-coronavirus-2019" data-linktype="external">World Health Organization (WHO)</a></li> <li><a href="https://247wallst.com/" data-linktype="external">24/7 Wall St.</a></li> </ul> <div class="NOTE"> <p>Note</p> <p>Microsoft provides Azure Open Datasets on an “as is” basis. Microsoft makes no warranties, express or implied, guarantees or conditions with respect to your use of the datasets. To the extent permitted under your local law, Microsoft disclaims all liability for any damages or losses, including direct, consequential, special, indirect, incidental or punitive, resulting from your use of the datasets.</p> <p>This dataset is provided under the original terms that Microsoft received source data. The dataset may include data sourced from Microsoft.</p> </div> <h2 id="datasets">Datasets</h2> <p>Modified Bing COVID-19 datasets are available in CSV, JSON, JSON-Lines, and Parquet:</p> <ul> <li><a href="https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/bing_covid-19_data/latest/bing_covid-19_data.csv" data-linktype="external">CSV</a></li> <li><a href="https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/bing_covid-19_data/latest/bing_covid-19_data.json" data-linktype="external">JSON</a></li> <li><a href="https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/bing_covid-19_data/latest/bing_covid-19_data.jsonl" data-linktype="external">JSON-Lines</a></li> <li><a href="https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/bing_covid-19_data/latest/bing_covid-19_data.parquet" data-linktype="external">Parquet</a></li> </ul> <p>All modified datasets have ISO 3166 subdivision codes and load times added. They use lower case column names with underscore separators.</p> <p><a href="https://pandemicdatalake.blob.core.windows.net/public/raw/covid-19/bing_covid-19_data/latest/Bing-COVID19-Data.csv" data-linktype="external">CSV-format raw data</a></p> <p>Earlier versions of modified and raw data are available at <a href="https://github.com/microsoft/Bing-COVID-19-Data/commits/" data-linktype="external">this resource</a>.</p> <h2 id="data-volume">Data volume</h2> <p>All datasets receive daily updates. As of March 5, 2023 they contained 4,766,737 rows. The dataset is available in these file formats:</p> <ul> <li>CSV (560.3 MB)</li> <li>JSON (1515.6 MB)</li> <li>JSONL (1506.2 MB)</li> <li>Parquet (55.4 MB)</li> </ul> <h2 id="license-and-use-rights-attribution">License and use rights attribution</h2> <p>The data is available strictly for educational and academic purposes under <a href="https://github.com/microsoft/Bing-COVID-19-Data/blob/master/LICENSE.txt" data-linktype="external">these terms and conditions</a>. Valid purposes include:</p> <ul> <li>academic institutions</li> <li>government agencies</li> <li>medical research</li> </ul> <p>Data used or cited in publications should include an attribution to <strong>‘Bing COVID-19 Tracker’</strong>, with a link to <a href="https://www.bing.com/covid" data-linktype="external">www.bing.com/covid</a>.</p> <h2 id="contact">Contact</h2> <p>For any questions or feedback about this or other datasets in the COVID-19 Data Lake contact <a href="mailto:askcovid19dl@microsoft.com" data-linktype="external">askcovid19dl@microsoft.com</a>.</p> <h2 id="columns">Columns</h2> <table> <thead> <tr> <th>Name</th> <th>Data type</th> <th>Unique</th> <th>Values (sample)</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td>admin_region_1</td> <td>string</td> <td>864</td> <td>Texas Georgia</td> <td>Region within country_region</td> </tr> <tr> <td>admin_region_2</td> <td>string</td> <td>3,143</td> <td>Washington County Jefferson County</td> <td>Region within admin_region_1</td> </tr> <tr> <td>confirmed</td> <td>int</td> <td>120,692</td> <td>1 2</td> <td>Confirmed case count for the region</td> </tr> <tr> <td>confirmed_change</td> <td>int</td> <td>12,120</td> <td>1 2</td> <td>Change of confirmed case count from the previous day</td> </tr> <tr> <td>country_region</td> <td>string</td> <td>237</td> <td>United States India</td> <td>Country/region</td> </tr> <tr> <td>deaths</td> <td>int</td> <td>20,616</td> <td>1 2</td> <td>Death case count for the region</td> </tr> <tr> <td>deaths_change</td> <td>smallint</td> <td>1,981</td> <td>1 2</td> <td>Change of death count from the previous day</td> </tr> <tr> <td>id</td> <td>int</td> <td>1,783,534</td> <td>742546 69019298</td> <td>Unique identifier</td> </tr> <tr> <td>iso_subdivision</td> <td>string</td> <td>484</td> <td>US-TX US-GA</td> <td>Two-part ISO subdivision code</td> </tr> <tr> <td>iso2</td> <td>string</td> <td>226</td> <td>US IN</td> <td>2 letter country code identifier</td> </tr> <tr> <td>iso3</td> <td>string</td> <td>226</td> <td>USA IND</td> <td>3 letter country code identifier</td> </tr> <tr> <td>latitude</td> <td>double</td> <td>5,675</td> <td>42.28708 19.59852</td> <td>Latitude of the centroid of the region</td> </tr> <tr> <td>load_time</td> <td>timestamp</td> <td>1</td> <td>2021-04-26 00:06:34.719000</td> <td>The date and time the file was loaded from the Bing source on GitHub</td> </tr> <tr> <td>longitude</td> <td>double</td> <td>5,693</td> <td>-2.5396 -155.5186</td> <td>Longitude of the centroid of the region</td> </tr> <tr> <td>recovered</td> <td>int</td> <td>73,287</td> <td>1 2</td> <td>Recovered count for the region</td> </tr> <tr> <td>recovered_change</td> <td>int</td> <td>10,441</td> <td>1 2</td> <td>Change of recovered case count from the previous day</td> </tr> <tr> <td>updated</td> <td>date</td> <td>457</td> <td>2021-04-23 2021-04-22</td> <td>The as at date for the record</td> </tr> </tbody> </table> <h2 id="preview">Preview</h2> <table> <thead> <tr> <th>id</th> <th>updated</th> <th>confirmed</th> <th>deaths</th> <th>iso2</th> <th>iso3</th> <th>country_region</th> <th>admin_region_1</th> <th>iso_subdivision</th> <th>admin_region_2</th> <th>load_time</th> <th>confirmed_change</th> <th>deaths_change</th> </tr> </thead> <tbody> <tr> <td>338995</td> <td>2020-01-21</td> <td>262</td> <td>0</td> <td>null</td> <td>null</td> <td>Worldwide</td> <td>null</td> <td>null</td> <td>null</td> <td>4/26/2021 12:06:34 AM</td> <td></td> <td></td> </tr> <tr> <td>338996</td> <td>2020-01-22</td> <td>313</td> <td>0</td> <td>null</td> <td>null</td> <td>Worldwide</td> <td>null</td> <td>null</td> <td>null</td> <td>4/26/2021 12:06:34 AM</td> <td>51</td> <td>0</td> </tr> <tr> <td>338997</td> <td>2020-01-23</td> <td>578</td> <td>0</td> <td>null</td> <td>null</td> <td>Worldwide</td> <td>null</td> <td>null</td> <td>null</td> <td>4/26/2021 12:06:34 AM</td> <td>265</td> <td>0</td> </tr> <tr> <td>338998</td> <td>2020-01-24</td> <td>841</td> <td>0</td> <td>null</td> <td>null</td> <td>Worldwide</td> <td>null</td> <td>null</td> <td>null</td> <td>4/26/2021 12:06:34 AM</td> <td>263</td> <td>0</td> </tr> <tr> <td>338999</td> <td>2020-01-25</td> <td>1320</td> <td>0</td> <td>null</td> <td>null</td> <td>Worldwide</td> <td>null</td> <td>null</td> <td>null</td> <td>4/26/2021 12:06:34 AM</td> <td>479</td> <td>0</td> </tr> <tr> <td>339000</td> <td>2020-01-26</td> <td>2014</td> <td>0</td> <td>null</td> <td>null</td> <td>Worldwide</td> <td>null</td> <td>null</td> <td>null</td> <td>4/26/2021 12:06:34 AM</td> <td>694</td> <td>0</td> </tr> <tr> <td>339001</td> <td>2020-01-27</td> <td>2798</td> <td>0</td> <td>null</td> <td>null</td> <td>Worldwide</td> <td>null</td> <td>null</td> <td>null</td> <td>4/26/2021 12:06:34 AM</td> <td>784</td> <td>0</td> </tr> <tr> <td>339002</td> <td>2020-01-28</td> <td>4593</td> <td>0</td> <td>null</td> <td>null</td> <td>Worldwide</td> <td>null</td> <td>null</td> <td>null</td> <td>4/26/2021 12:06:34 AM</td> <td>1795</td> <td>0</td> </tr> <tr> <td>339003</td> <td>2020-01-29</td> <td>6065</td> <td>0</td> <td>null</td> <td>null</td> <td>Worldwide</td> <td>null</td> <td>null</td> <td>null</td> <td>4/26/2021 12:06:34 AM</td> <td>1472</td> <td>0</td> </tr> <tr> <td>339004</td> <td>2020-01-30</td> <td>7818</td> <td>0</td> <td>null</td> <td>null</td> <td>Worldwide</td> <td>null</td> <td>null</td> <td>null</td> <td>4/26/2021 12:06:34 AM</td> <td>1753</td> <td>0</td> </tr> </tbody> </table> <h2 id="data-access---azure-notebooks">Data access - Azure Notebooks</h2> <div class="tabGroup" id="tabgroup_1"> <ul role="tablist"> <li role="presentation"> <a href="#tabpanel_1_azure-storage" role="tab" aria-controls="tabpanel_1_azure-storage" data-tab="azure-storage" tabindex="0" aria-selected="true" data-linktype="self-bookmark">azure-storage</a> </li> <li role="presentation"> <a href="#tabpanel_1_pyspark" role="tab" aria-controls="tabpanel_1_pyspark" data-tab="pyspark" tabindex="-1" data-linktype="self-bookmark">pyspark</a> </li> </ul> <section id="tabpanel_1_azure-storage" role="tabpanel" data-tab="azure-storage"> <!-- nbstart https://opendatasets-api.azure.com/discoveryapi/OpenDataset/DownloadNotebook?serviceType=AzureNotebooks&package=azure-storage&registryId=bing-covid-19-data --> <div class="NOTE"> <p>Note</p> <p>This notebook documents the URLs and sample code to access the <a href="https://github.com/microsoft/Bing-COVID-19-Data" data-linktype="external"><strong>Bing COVID-19 Dataset</strong></a>.</p> </div> <p>Use these URLs to get specific file formats hosted on Azure Blob Storage:</p> <ul> <li><a href="https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/bing_covid-19_data/latest/bing_covid-19_data.csv" data-linktype="external">CSV</a></li> <li><a href="https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/bing_covid-19_data/latest/bing_covid-19_data.json" data-linktype="external">JSON</a></li> <li><a href="https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/bing_covid-19_data/latest/bing_covid-19_data.jsonl" data-linktype="external">JSON-Lines</a></li> <li><a href="https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/bing_covid-19_data/latest/bing_covid-19_data.parquet" data-linktype="external">Parquet</a></li> </ul> <p>Download the dataset file using the built-in capability of Pandas to download from an HTTP URL. Pandas has readers for various file formats:</p> <p><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_parquet.html" data-linktype="external">pandas.read_parquet</a></p> <p><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html" data-linktype="external">pandas.read_csv</a></p> <pre><code class="lang-python">import pandas as pd import numpy as np %matplotlib inline import matplotlib.pyplot as plt df = pd.read_parquet("https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/bing_covid-19_data/latest/bing_covid-19_data.parquet") df.head(10) </code></pre> <p>To verify that the updated column has a datetime format, check the data types of the various fields:</p> <pre><code class="lang-python">df.dtypes </code></pre> <p>Review the Worldwide data. To visualize the data, build some charts:</p> <pre><code class="lang-python">df_Worldwide=df[df['country_region']=='Worldwide'] </code></pre> <pre><code class="lang-python">df_Worldwide_pivot=df_Worldwide.pivot_table(df_Worldwide, index=['country_region','updated']) df_Worldwide_pivot </code></pre> <pre><code class="lang-python">df_Worldwide.plot(kind='line',x='updated',y="confirmed",grid=True) df_Worldwide.plot(kind='line',x='updated',y="deaths",grid=True) df_Worldwide.plot(kind='line',x='updated',y="confirmed_change",grid=True) df_Worldwide.plot(kind='line',x='updated',y="deaths_change",grid=True) </code></pre> <!-- nbend --> </section> <section id="tabpanel_1_pyspark" role="tabpanel" data-tab="pyspark" aria-hidden="true" hidden="hidden"> <p>A sample isn't available for this platform / package combination.</p> </section> </div> <h2 id="data-access---azure-databricks">Data Access - Azure Databricks</h2> <div class="tabGroup" id="tabgroup_2"> <ul role="tablist"> <li role="presentation"> <a href="#tabpanel_2_azure-storage" role="tab" aria-controls="tabpanel_2_azure-storage" data-tab="azure-storage" tabindex="0" aria-selected="true" data-linktype="self-bookmark">azure-storage</a> </li> <li role="presentation"> <a href="#tabpanel_2_pyspark" role="tab" aria-controls="tabpanel_2_pyspark" data-tab="pyspark" tabindex="-1" data-linktype="self-bookmark">pyspark</a> </li> </ul> <section id="tabpanel_2_azure-storage" role="tabpanel" data-tab="azure-storage"> <p>A sample isn't available for this platform / package combination.</p> </section> <section id="tabpanel_2_pyspark" role="tabpanel" data-tab="pyspark" aria-hidden="true" hidden="hidden"> <!-- nbstart https://opendatasets-api.azure.com/discoveryapi/OpenDataset/DownloadNotebook?serviceType=AzureDatabricks&package=pyspark&registryId=bing-covid-19-data --> <pre><code class="lang-python"># Azure storage access info blob_account_name = "pandemicdatalake" blob_container_name = "public" blob_relative_path = "curated/covid-19/bing_covid-19_data/latest/bing_covid-19_data.parquet" blob_sas_token = r"" </code></pre> <pre><code class="lang-python"># Allow SPARK to read from Blob remotely wasbs_path = 'wasbs://%s@%s.blob.core.windows.net/%s' % (blob_container_name, blob_account_name, blob_relative_path) spark.conf.set( 'fs.azure.sas.%s.%s.blob.core.windows.net' % (blob_container_name, blob_account_name), blob_sas_token) print('Remote blob path: ' + wasbs_path) </code></pre> <pre><code class="lang-python"># SPARK read parquet, note that it won't load any data yet by now df = spark.read.parquet(wasbs_path) print('Register the DataFrame as a SQL temporary view: source') df.createOrReplaceTempView('source') </code></pre> <pre><code class="lang-python"># Display top 10 rows print('Displaying top 10 rows: ') display(spark.sql('SELECT * FROM source LIMIT 10')) </code></pre> <!-- nbend --> </section> </div> <h2 id="data-access---azure-synapse">Data Access - Azure Synapse</h2> <div class="tabGroup" id="tabgroup_3"> <ul role="tablist"> <li role="presentation"> <a href="#tabpanel_3_azure-storage" role="tab" aria-controls="tabpanel_3_azure-storage" data-tab="azure-storage" tabindex="0" aria-selected="true" data-linktype="self-bookmark">azure-storage</a> </li> <li role="presentation"> <a href="#tabpanel_3_pyspark" role="tab" aria-controls="tabpanel_3_pyspark" data-tab="pyspark" tabindex="-1" data-linktype="self-bookmark">pyspark</a> </li> </ul> <section id="tabpanel_3_azure-storage" role="tabpanel" data-tab="azure-storage"> <p>A sample isn't available for this platform / package combination.</p> </section> <section id="tabpanel_3_pyspark" role="tabpanel" data-tab="pyspark" aria-hidden="true" hidden="hidden"> <!-- nbstart https://opendatasets-api.azure.com/discoveryapi/OpenDataset/DownloadNotebook?serviceType=AzureSynapse&package=pyspark&registryId=bing-covid-19-data --> <pre><code class="lang-python"># Azure storage access info blob_account_name = "pandemicdatalake" blob_container_name = "public" blob_relative_path = "curated/covid-19/bing_covid-19_data/latest/bing_covid-19_data.parquet" blob_sas_token = r"" </code></pre> <pre><code class="lang-python"># Allow SPARK to read from Blob remotely wasbs_path = 'wasbs://%s@%s.blob.core.windows.net/%s' % (blob_container_name, blob_account_name, blob_relative_path) spark.conf.set( 'fs.azure.sas.%s.%s.blob.core.windows.net' % (blob_container_name, blob_account_name), blob_sas_token) print('Remote blob path: ' + wasbs_path) </code></pre> <pre><code class="lang-python"># SPARK read parquet, note that it won't load any data yet by now df = spark.read.parquet(wasbs_path) print('Register the DataFrame as a SQL temporary view: source') df.createOrReplaceTempView('source') </code></pre> <pre><code class="lang-python"># Display top 10 rows print('Displaying top 10 rows: ') display(spark.sql('SELECT * FROM source LIMIT 10')) </code></pre> <!-- nbend --> </section> </div> <h2 id="next-steps">Next steps</h2> <p>View 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