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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 2020 Cl Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_cl_region_mobility_report
  • 142.53 kB
  • 22,423 rows
  • 15 columns
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CREATE TABLE n_2020_cl_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 2020 Cm Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_cm_region_mobility_report
  • 44.61 kB
  • 7,845 rows
  • 15 columns
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CREATE TABLE n_2020_cm_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 2020 Co Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_co_region_mobility_report
  • 360.13 kB
  • 100,619 rows
  • 15 columns
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CREATE TABLE n_2020_co_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 2020 Cr Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_cr_region_mobility_report
  • 18.34 kB
  • 321 rows
  • 15 columns
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CREATE TABLE n_2020_cr_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 2020 Cv Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_cv_region_mobility_report
  • 22.13 kB
  • 1,207 rows
  • 15 columns
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CREATE TABLE n_2020_cv_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 2020 Cz Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_cz_region_mobility_report
  • 179.55 kB
  • 28,934 rows
  • 15 columns
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CREATE TABLE n_2020_cz_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 2020 De Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_de_region_mobility_report
  • 55.19 kB
  • 5,457 rows
  • 15 columns
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CREATE TABLE n_2020_de_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" 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" BIGINT
);

N 2020 Dk Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_dk_region_mobility_report
  • 154.09 kB
  • 30,004 rows
  • 15 columns
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CREATE TABLE n_2020_dk_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 2020 Do Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_do_region_mobility_report
  • 58.95 kB
  • 9,298 rows
  • 15 columns
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CREATE TABLE n_2020_do_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 2020 Ec Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_ec_region_mobility_report
  • 172.21 kB
  • 40,737 rows
  • 15 columns
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CREATE TABLE n_2020_ec_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 2020 Ee Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_ee_region_mobility_report
  • 34.9 kB
  • 3,991 rows
  • 15 columns
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CREATE TABLE n_2020_ee_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 2020 Eg Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_eg_region_mobility_report
  • 73.57 kB
  • 9,561 rows
  • 15 columns
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CREATE TABLE n_2020_eg_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 2020 Es Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_es_region_mobility_report
  • 146.16 kB
  • 20,210 rows
  • 15 columns
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CREATE TABLE n_2020_es_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 2020 Fi Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_fi_region_mobility_report
  • 135.02 kB
  • 25,138 rows
  • 15 columns
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CREATE TABLE n_2020_fi_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 2020 Fj Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_fj_region_mobility_report
  • 17.93 kB
  • 321 rows
  • 15 columns
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CREATE TABLE n_2020_fj_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" BIGINT
);

N 2020 Fr Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_fr_region_mobility_report
  • 251.08 kB
  • 35,299 rows
  • 15 columns
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CREATE TABLE n_2020_fr_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 2020 Ga Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_ga_region_mobility_report
  • 22.1 kB
  • 1,148 rows
  • 15 columns
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CREATE TABLE n_2020_ga_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 2020 Gb Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_gb_region_mobility_report
  • 797.69 kB
  • 133,382 rows
  • 15 columns
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CREATE TABLE n_2020_gb_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 2020 Ge Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_ge_region_mobility_report
  • 20.27 kB
  • 552 rows
  • 15 columns
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CREATE TABLE n_2020_ge_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 2020 Gh Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_gh_region_mobility_report
  • 22.99 kB
  • 963 rows
  • 15 columns
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CREATE TABLE n_2020_gh_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" BIGINT,
  "workplaces_percent_change_from_baseline" BIGINT,
  "residential_percent_change_from_baseline" BIGINT
);

N 2020 Gr Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_gr_region_mobility_report
  • 38.1 kB
  • 2,568 rows
  • 15 columns
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CREATE TABLE n_2020_gr_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" BIGINT
);

N 2020 Gt Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_gt_region_mobility_report
  • 131.39 kB
  • 33,832 rows
  • 15 columns
Loading... 
CREATE TABLE n_2020_gt_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 2020 Gw Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_gw_region_mobility_report
  • 15.62 kB
  • 296 rows
  • 15 columns
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CREATE TABLE n_2020_gw_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" VARCHAR,
  "workplaces_percent_change_from_baseline" BIGINT,
  "residential_percent_change_from_baseline" VARCHAR
);

N 2020 Hk Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_hk_region_mobility_report
  • 17.58 kB
  • 321 rows
  • 15 columns
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CREATE TABLE n_2020_hk_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 2020 Hn Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_hn_region_mobility_report
  • 78.99 kB
  • 16,460 rows
  • 15 columns
Loading... 
CREATE TABLE n_2020_hn_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
);

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