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GOOGLE MOBILITY DATA

Understand how people are moving due to COVID

@kaggle.aiswaryaramachandran_google_mobility_data

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About this Dataset

GOOGLE MOBILITY DATA

Context

As global communities respond to COVID-19, we've heard from public health officials that the same type of aggregated, anonymized insights we use in products such as Google Maps could be helpful as they make critical decisions to combat COVID-19.

These Community Mobility Reports aim to provide insights into what has changed in response to policies aimed at combating COVID-19. The reports chart movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential. (https://www.google.com/covid19/mobility/)

Content

The data contains aggregated and anonymised aggregated data per day for each country. For say accessing data for India - the files 2020_IN_Region_Mobility_Report.csv for 2020 data and 2021_IN_Region_Mobility_Report.csv. The aggregated data is not only present at country level, but also at States and district level - as given in sub_region_1 and sub_region_2.

Acknowledgements

This data from report published by Google. https://www.google.com/covid19/mobility/

Inspiration

Some Questions to answer

  1. India is having its Second Wave and one of the major causes is considered to the election rallies held in different parts of the country. How does Mobility Impact the COVID Cases?

  2. Comparing Mobility across different Countries

Tables

N 2022 Qa Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_qa_region_mobility_report
  • 18.75 kB
  • 576 rows
  • 15 columns
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CREATE TABLE n_2022_qa_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" BIGINT,
  "grocery_and_pharmacy_percent_change_from_baseline" BIGINT,
  "parks_percent_change_from_baseline" BIGINT,
  "transit_stations_percent_change_from_baseline" BIGINT,
  "workplaces_percent_change_from_baseline" BIGINT,
  "residential_percent_change_from_baseline" BIGINT
);

N 2022 Re Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_re_region_mobility_report
  • 15 kB
  • 196 rows
  • 15 columns
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CREATE TABLE n_2022_re_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" DOUBLE,
  "grocery_and_pharmacy_percent_change_from_baseline" DOUBLE,
  "parks_percent_change_from_baseline" DOUBLE,
  "transit_stations_percent_change_from_baseline" DOUBLE,
  "workplaces_percent_change_from_baseline" DOUBLE,
  "residential_percent_change_from_baseline" VARCHAR
);

N 2022 Ro Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_ro_region_mobility_report
  • 298.99 kB
  • 76,942 rows
  • 15 columns
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CREATE TABLE n_2022_ro_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" DOUBLE,
  "grocery_and_pharmacy_percent_change_from_baseline" DOUBLE,
  "parks_percent_change_from_baseline" DOUBLE,
  "transit_stations_percent_change_from_baseline" DOUBLE,
  "workplaces_percent_change_from_baseline" DOUBLE,
  "residential_percent_change_from_baseline" DOUBLE
);

N 2022 Rs Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_rs_region_mobility_report
  • 19.81 kB
  • 576 rows
  • 15 columns
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CREATE TABLE n_2022_rs_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" BIGINT,
  "grocery_and_pharmacy_percent_change_from_baseline" BIGINT,
  "parks_percent_change_from_baseline" BIGINT,
  "transit_stations_percent_change_from_baseline" BIGINT,
  "workplaces_percent_change_from_baseline" BIGINT,
  "residential_percent_change_from_baseline" BIGINT
);

N 2022 Ru Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_ru_region_mobility_report
  • 44.41 kB
  • 4,896 rows
  • 15 columns
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CREATE TABLE n_2022_ru_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" BIGINT,
  "grocery_and_pharmacy_percent_change_from_baseline" BIGINT,
  "parks_percent_change_from_baseline" BIGINT,
  "transit_stations_percent_change_from_baseline" BIGINT,
  "workplaces_percent_change_from_baseline" BIGINT,
  "residential_percent_change_from_baseline" BIGINT
);

N 2022 Rw Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_rw_region_mobility_report
  • 30.07 kB
  • 2,995 rows
  • 15 columns
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CREATE TABLE n_2022_rw_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" DOUBLE,
  "grocery_and_pharmacy_percent_change_from_baseline" DOUBLE,
  "parks_percent_change_from_baseline" DOUBLE,
  "transit_stations_percent_change_from_baseline" DOUBLE,
  "workplaces_percent_change_from_baseline" DOUBLE,
  "residential_percent_change_from_baseline" DOUBLE
);

N 2022 Sa Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_sa_region_mobility_report
  • 40.03 kB
  • 4,032 rows
  • 15 columns
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CREATE TABLE n_2022_sa_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" BIGINT,
  "grocery_and_pharmacy_percent_change_from_baseline" BIGINT,
  "parks_percent_change_from_baseline" DOUBLE,
  "transit_stations_percent_change_from_baseline" DOUBLE,
  "workplaces_percent_change_from_baseline" BIGINT,
  "residential_percent_change_from_baseline" BIGINT
);

N 2022 Se Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_se_region_mobility_report
  • 274.52 kB
  • 72,067 rows
  • 15 columns
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CREATE TABLE n_2022_se_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" DOUBLE,
  "grocery_and_pharmacy_percent_change_from_baseline" DOUBLE,
  "parks_percent_change_from_baseline" DOUBLE,
  "transit_stations_percent_change_from_baseline" DOUBLE,
  "workplaces_percent_change_from_baseline" DOUBLE,
  "residential_percent_change_from_baseline" DOUBLE
);

N 2022 Sg Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_sg_region_mobility_report
  • 16.85 kB
  • 288 rows
  • 15 columns
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CREATE TABLE n_2022_sg_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" BIGINT,
  "grocery_and_pharmacy_percent_change_from_baseline" BIGINT,
  "parks_percent_change_from_baseline" BIGINT,
  "transit_stations_percent_change_from_baseline" BIGINT,
  "workplaces_percent_change_from_baseline" BIGINT,
  "residential_percent_change_from_baseline" BIGINT
);

N 2022 Si Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_si_region_mobility_report
  • 101.17 kB
  • 34,780 rows
  • 15 columns
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CREATE TABLE n_2022_si_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" DOUBLE,
  "grocery_and_pharmacy_percent_change_from_baseline" DOUBLE,
  "parks_percent_change_from_baseline" DOUBLE,
  "transit_stations_percent_change_from_baseline" DOUBLE,
  "workplaces_percent_change_from_baseline" DOUBLE,
  "residential_percent_change_from_baseline" DOUBLE
);

N 2022 Sk Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_sk_region_mobility_report
  • 114.39 kB
  • 23,997 rows
  • 15 columns
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CREATE TABLE n_2022_sk_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" DOUBLE,
  "grocery_and_pharmacy_percent_change_from_baseline" DOUBLE,
  "parks_percent_change_from_baseline" DOUBLE,
  "transit_stations_percent_change_from_baseline" DOUBLE,
  "workplaces_percent_change_from_baseline" DOUBLE,
  "residential_percent_change_from_baseline" DOUBLE
);

N 2022 Sn Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_sn_region_mobility_report
  • 27.68 kB
  • 3,321 rows
  • 15 columns
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CREATE TABLE n_2022_sn_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" DOUBLE,
  "grocery_and_pharmacy_percent_change_from_baseline" DOUBLE,
  "parks_percent_change_from_baseline" DOUBLE,
  "transit_stations_percent_change_from_baseline" DOUBLE,
  "workplaces_percent_change_from_baseline" DOUBLE,
  "residential_percent_change_from_baseline" DOUBLE
);

N 2022 Sv Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_sv_region_mobility_report
  • 36.82 kB
  • 4,320 rows
  • 15 columns
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CREATE TABLE n_2022_sv_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" DOUBLE,
  "grocery_and_pharmacy_percent_change_from_baseline" DOUBLE,
  "parks_percent_change_from_baseline" DOUBLE,
  "transit_stations_percent_change_from_baseline" DOUBLE,
  "workplaces_percent_change_from_baseline" BIGINT,
  "residential_percent_change_from_baseline" DOUBLE
);

N 2022 Tg Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_tg_region_mobility_report
  • 21.34 kB
  • 988 rows
  • 15 columns
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CREATE TABLE n_2022_tg_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" DOUBLE,
  "grocery_and_pharmacy_percent_change_from_baseline" DOUBLE,
  "parks_percent_change_from_baseline" DOUBLE,
  "transit_stations_percent_change_from_baseline" DOUBLE,
  "workplaces_percent_change_from_baseline" BIGINT,
  "residential_percent_change_from_baseline" DOUBLE
);

N 2022 Th Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_th_region_mobility_report
  • 16.84 kB
  • 288 rows
  • 15 columns
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CREATE TABLE n_2022_th_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" BIGINT,
  "grocery_and_pharmacy_percent_change_from_baseline" BIGINT,
  "parks_percent_change_from_baseline" BIGINT,
  "transit_stations_percent_change_from_baseline" BIGINT,
  "workplaces_percent_change_from_baseline" BIGINT,
  "residential_percent_change_from_baseline" BIGINT
);

N 2022 Tj Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_tj_region_mobility_report
  • 18.89 kB
  • 576 rows
  • 15 columns
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CREATE TABLE n_2022_tj_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" BIGINT,
  "grocery_and_pharmacy_percent_change_from_baseline" BIGINT,
  "parks_percent_change_from_baseline" BIGINT,
  "transit_stations_percent_change_from_baseline" BIGINT,
  "workplaces_percent_change_from_baseline" BIGINT,
  "residential_percent_change_from_baseline" BIGINT
);

N 2022 Tr Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_tr_region_mobility_report
  • 750.01 kB
  • 160,756 rows
  • 15 columns
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CREATE TABLE n_2022_tr_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" DOUBLE,
  "grocery_and_pharmacy_percent_change_from_baseline" DOUBLE,
  "parks_percent_change_from_baseline" DOUBLE,
  "transit_stations_percent_change_from_baseline" DOUBLE,
  "workplaces_percent_change_from_baseline" DOUBLE,
  "residential_percent_change_from_baseline" DOUBLE
);

N 2022 Tt Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_tt_region_mobility_report
  • 17.37 kB
  • 288 rows
  • 15 columns
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CREATE TABLE n_2022_tt_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" BIGINT,
  "grocery_and_pharmacy_percent_change_from_baseline" BIGINT,
  "parks_percent_change_from_baseline" BIGINT,
  "transit_stations_percent_change_from_baseline" BIGINT,
  "workplaces_percent_change_from_baseline" BIGINT,
  "residential_percent_change_from_baseline" BIGINT
);

N 2022 Tw Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_tw_region_mobility_report
  • 17.13 kB
  • 288 rows
  • 15 columns
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CREATE TABLE n_2022_tw_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" BIGINT,
  "grocery_and_pharmacy_percent_change_from_baseline" BIGINT,
  "parks_percent_change_from_baseline" BIGINT,
  "transit_stations_percent_change_from_baseline" BIGINT,
  "workplaces_percent_change_from_baseline" BIGINT,
  "residential_percent_change_from_baseline" BIGINT
);

N 2022 Tz Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_tz_region_mobility_report
  • 67.37 kB
  • 14,280 rows
  • 15 columns
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CREATE TABLE n_2022_tz_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" DOUBLE,
  "grocery_and_pharmacy_percent_change_from_baseline" DOUBLE,
  "parks_percent_change_from_baseline" DOUBLE,
  "transit_stations_percent_change_from_baseline" DOUBLE,
  "workplaces_percent_change_from_baseline" DOUBLE,
  "residential_percent_change_from_baseline" DOUBLE
);

N 2022 Ua Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_ua_region_mobility_report
  • 14.15 kB
  • 108 rows
  • 15 columns
Loading... 
CREATE TABLE n_2022_ua_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" BIGINT,
  "grocery_and_pharmacy_percent_change_from_baseline" BIGINT,
  "parks_percent_change_from_baseline" BIGINT,
  "transit_stations_percent_change_from_baseline" BIGINT,
  "workplaces_percent_change_from_baseline" BIGINT,
  "residential_percent_change_from_baseline" BIGINT
);

N 2022 Ug Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_ug_region_mobility_report
  • 36.99 kB
  • 5,137 rows
  • 15 columns
Loading... 
CREATE TABLE n_2022_ug_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" DOUBLE,
  "grocery_and_pharmacy_percent_change_from_baseline" DOUBLE,
  "parks_percent_change_from_baseline" DOUBLE,
  "transit_stations_percent_change_from_baseline" DOUBLE,
  "workplaces_percent_change_from_baseline" DOUBLE,
  "residential_percent_change_from_baseline" DOUBLE
);

N 2022 Us Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_us_region_mobility_report
  • 3.04 MB
  • 747,969 rows
  • 15 columns
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CREATE TABLE n_2022_us_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" DOUBLE,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" DOUBLE,
  "grocery_and_pharmacy_percent_change_from_baseline" DOUBLE,
  "parks_percent_change_from_baseline" DOUBLE,
  "transit_stations_percent_change_from_baseline" DOUBLE,
  "workplaces_percent_change_from_baseline" DOUBLE,
  "residential_percent_change_from_baseline" DOUBLE
);

N 2022 Uy Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_uy_region_mobility_report
  • 51.48 kB
  • 6,043 rows
  • 15 columns
Loading... 
CREATE TABLE n_2022_uy_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" DOUBLE,
  "grocery_and_pharmacy_percent_change_from_baseline" DOUBLE,
  "parks_percent_change_from_baseline" DOUBLE,
  "transit_stations_percent_change_from_baseline" DOUBLE,
  "workplaces_percent_change_from_baseline" DOUBLE,
  "residential_percent_change_from_baseline" DOUBLE
);

N 2022 Ve Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2022_ve_region_mobility_report
  • 17.42 kB
  • 288 rows
  • 15 columns
Loading... 
CREATE TABLE n_2022_ve_region_mobility_report (
  "country_region_code" VARCHAR,
  "country_region" VARCHAR,
  "sub_region_1" VARCHAR,
  "sub_region_2" VARCHAR,
  "metro_area" VARCHAR,
  "iso_3166_2_code" VARCHAR,
  "census_fips_code" VARCHAR,
  "place_id" VARCHAR,
  "date" TIMESTAMP,
  "retail_and_recreation_percent_change_from_baseline" BIGINT,
  "grocery_and_pharmacy_percent_change_from_baseline" BIGINT,
  "parks_percent_change_from_baseline" BIGINT,
  "transit_stations_percent_change_from_baseline" BIGINT,
  "workplaces_percent_change_from_baseline" BIGINT,
  "residential_percent_change_from_baseline" BIGINT
);

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