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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 Pk Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_pk_region_mobility_report
  • 58.44 kB
  • 6,691 rows
  • 15 columns
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CREATE TABLE n_2020_pk_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 Pl Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_pl_region_mobility_report
  • 609.65 kB
  • 120,973 rows
  • 15 columns
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CREATE TABLE n_2020_pl_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 Pr Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_pr_region_mobility_report
  • 87.93 kB
  • 20,094 rows
  • 15 columns
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CREATE TABLE n_2020_pr_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 2020 Pt Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_pt_region_mobility_report
  • 249.04 kB
  • 57,113 rows
  • 15 columns
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CREATE TABLE n_2020_pt_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 Py Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_py_region_mobility_report
  • 45.95 kB
  • 5,578 rows
  • 15 columns
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CREATE TABLE n_2020_py_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 Qa Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_qa_region_mobility_report
  • 20.56 kB
  • 642 rows
  • 15 columns
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CREATE TABLE n_2020_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 2020 Re Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_re_region_mobility_report
  • 19.48 kB
  • 754 rows
  • 15 columns
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CREATE TABLE n_2020_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 2020 Ro Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_ro_region_mobility_report
  • 353.82 kB
  • 76,400 rows
  • 15 columns
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CREATE TABLE n_2020_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 2020 Rs Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_rs_region_mobility_report
  • 20.36 kB
  • 552 rows
  • 15 columns
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CREATE TABLE n_2020_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 2020 Ru Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_ru_region_mobility_report
  • 52.63 kB
  • 5,457 rows
  • 15 columns
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CREATE TABLE n_2020_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" DOUBLE,
  "transit_stations_percent_change_from_baseline" BIGINT,
  "workplaces_percent_change_from_baseline" BIGINT,
  "residential_percent_change_from_baseline" BIGINT
);

N 2020 Rw Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_rw_region_mobility_report
  • 31.66 kB
  • 3,498 rows
  • 15 columns
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CREATE TABLE n_2020_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 2020 Sa Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_sa_region_mobility_report
  • 45.87 kB
  • 4,476 rows
  • 15 columns
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CREATE TABLE n_2020_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" 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 Se Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_se_region_mobility_report
  • 277.4 kB
  • 72,732 rows
  • 15 columns
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CREATE TABLE n_2020_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 2020 Sg Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_sg_region_mobility_report
  • 18.08 kB
  • 321 rows
  • 15 columns
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CREATE TABLE n_2020_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 2020 Si Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_si_region_mobility_report
  • 104.71 kB
  • 34,087 rows
  • 15 columns
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CREATE TABLE n_2020_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 2020 Sk Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_sk_region_mobility_report
  • 125.89 kB
  • 25,147 rows
  • 15 columns
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CREATE TABLE n_2020_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 2020 Sn Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_sn_region_mobility_report
  • 28.63 kB
  • 3,871 rows
  • 15 columns
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CREATE TABLE n_2020_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 2020 Sv Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_sv_region_mobility_report
  • 39.04 kB
  • 4,596 rows
  • 15 columns
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CREATE TABLE n_2020_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" DOUBLE,
  "residential_percent_change_from_baseline" DOUBLE
);

N 2020 Tg Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_tg_region_mobility_report
  • 21.9 kB
  • 1,103 rows
  • 15 columns
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CREATE TABLE n_2020_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" DOUBLE,
  "residential_percent_change_from_baseline" DOUBLE
);

N 2020 Th Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_th_region_mobility_report
  • 17.7 kB
  • 321 rows
  • 15 columns
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CREATE TABLE n_2020_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 2020 Tj Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_tj_region_mobility_report
  • 20.38 kB
  • 642 rows
  • 15 columns
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CREATE TABLE n_2020_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" DOUBLE,
  "transit_stations_percent_change_from_baseline" BIGINT,
  "workplaces_percent_change_from_baseline" BIGINT,
  "residential_percent_change_from_baseline" BIGINT
);

N 2020 Tr Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_tr_region_mobility_report
  • 816.04 kB
  • 167,657 rows
  • 15 columns
Loading... 
CREATE TABLE n_2020_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 2020 Tt Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_tt_region_mobility_report
  • 18.65 kB
  • 321 rows
  • 15 columns
Loading... 
CREATE TABLE n_2020_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 2020 Tw Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_tw_region_mobility_report
  • 17.41 kB
  • 321 rows
  • 15 columns
Loading... 
CREATE TABLE n_2020_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 2020 Tz Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2020_tz_region_mobility_report
  • 72.67 kB
  • 15,965 rows
  • 15 columns
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CREATE TABLE n_2020_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
);

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