Bing COVID-19
Bing COVID-19 data includes confirmed, fatal, and recovered cases from all regions, updated daily. This data is reflected in the Bing COVID-19 Tracker.
Bing collects data from multiple trusted, reliable sources, including the World Health Organization (WHO), Centers for Disease Control and Prevention (CDC), national/regional and state public health departments, BNO News, 24/7 Wall St., and Wikipedia.
Note
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.
This dataset is provided under the original terms that Microsoft received source data. The dataset may include data sourced from Microsoft.
Datasets
Modified datasets are available in CSV, JSON, JSON-Lines, and Parquet.
- https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/bing_covid-19_data/latest/bing_covid-19_data.csv
- https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/bing_covid-19_data/latest/bing_covid-19_data.json
- https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/bing_covid-19_data/latest/bing_covid-19_data.jsonl
- https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/bing_covid-19_data/latest/bing_covid-19_data.parquet
All modified datasets have ISO 3166 subdivision codes and load times added, and use lower case column names with underscore separators.
Previous versions of modified and raw data: https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/bing_covid-19_data/
Data volume
All datasets are updated daily. As of May 11, 2020 they contained 125,576 rows (CSV 16.1 MB, JSON 40.0 MB, JSONL 39.6 MB, Parquet 1.1 MB).
License and use rights attribution
This data is available strictly for educational and academic purposes, such as medical research, government agencies, and academic institutions, under terms and conditions.
Data used or cited in publications should include an attribution to ‘Bing COVID-19 Tracker’ with a link to www.bing.com/covid.
Contact
For any questions or feedback about this or other datasets in the COVID-19 Data Lake, please contact askcovid19dl@microsoft.com.
Columns
| Name | Data type | Unique | Values (sample) | Description |
|---|---|---|---|---|
| admin_region_1 | string | 864 | Texas Georgia | Region within country_region |
| admin_region_2 | string | 3,143 | Washington County Jefferson County | Region within admin_region_1 |
| confirmed | int | 120,692 | 1 2 | Confirmed case count for the region |
| confirmed_change | int | 12,120 | 1 2 | Change of confirmed case count from the previous day |
| country_region | string | 237 | United States India | Country/region |
| deaths | int | 20,616 | 1 2 | Death case count for the region |
| deaths_change | smallint | 1,981 | 1 2 | Change of death count from the previous day |
| id | int | 1,783,534 | 742546 69019298 | Unique identifier |
| iso_subdivision | string | 484 | US-TX US-GA | Two-part ISO subdivision code |
| iso2 | string | 226 | US IN | 2 letter country code identifier |
| iso3 | string | 226 | USA IND | 3 letter country code identifier |
| latitude | double | 5,675 | 42.28708 19.59852 | Latitude of the centroid of the region |
| load_time | timestamp | 1 | 2021-04-26 00:06:34.719000 | The date and time the file was loaded from the Bing source on GitHub |
| longitude | double | 5,693 | -2.5396 -155.5186 | Longitude of the centroid of the region |
| recovered | int | 73,287 | 1 2 | Recovered count for the region |
| recovered_change | int | 10,441 | 1 2 | Change of recovered case count from the previous day |
| updated | date | 457 | 2021-04-23 2021-04-22 | The as at date for the record |
Preview
| id | updated | confirmed | deaths | iso2 | iso3 | country_region | admin_region_1 | iso_subdivision | admin_region_2 | load_time | confirmed_change | deaths_change |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 338995 | 2020-01-21 | 262 | 0 | null | null | Worldwide | null | null | null | 4/26/2021 12:06:34 AM | ||
| 338996 | 2020-01-22 | 313 | 0 | null | null | Worldwide | null | null | null | 4/26/2021 12:06:34 AM | 51 | 0 |
| 338997 | 2020-01-23 | 578 | 0 | null | null | Worldwide | null | null | null | 4/26/2021 12:06:34 AM | 265 | 0 |
| 338998 | 2020-01-24 | 841 | 0 | null | null | Worldwide | null | null | null | 4/26/2021 12:06:34 AM | 263 | 0 |
| 338999 | 2020-01-25 | 1320 | 0 | null | null | Worldwide | null | null | null | 4/26/2021 12:06:34 AM | 479 | 0 |
| 339000 | 2020-01-26 | 2014 | 0 | null | null | Worldwide | null | null | null | 4/26/2021 12:06:34 AM | 694 | 0 |
| 339001 | 2020-01-27 | 2798 | 0 | null | null | Worldwide | null | null | null | 4/26/2021 12:06:34 AM | 784 | 0 |
| 339002 | 2020-01-28 | 4593 | 0 | null | null | Worldwide | null | null | null | 4/26/2021 12:06:34 AM | 1795 | 0 |
| 339003 | 2020-01-29 | 6065 | 0 | null | null | Worldwide | null | null | null | 4/26/2021 12:06:34 AM | 1472 | 0 |
| 339004 | 2020-01-30 | 7818 | 0 | null | null | Worldwide | null | null | null | 4/26/2021 12:06:34 AM | 1753 | 0 |
Data access
Azure Notebooks
This notebook documents the URLs and sample code to access the Bing COVID-19 Dataset
Use the following URLs to get specific file formats hosted on Azure Blob Storage:
Download the dataset file using the built-in capability download from an http URL in Pandas. Pandas has readers for various file formats:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_parquet.html
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html
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)
Lets check the data types of the various fields and verify that the updated column is datetime format
df.dtypes
We will now look into Worldwide data and plot some simple charts to visualize the data
df_Worldwide=df[df['country_region']=='Worldwide']
df_Worldwide_pivot=df_Worldwide.pivot_table(df_Worldwide, index=['country_region','updated'])
df_Worldwide_pivot
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)
Azure Databricks
Sample not available for this platform/package combination.
Azure Synapse
Sample not available for this platform/package combination.
Next steps
View the rest of the datasets in the Open Datasets catalog.
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