Name: GOOGLE MOBILITY DATA
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

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

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?
Comparing Mobility across different Countries

Tables

N 2021 Ni Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_ni_region_mobility_report

46.41 kB
6,428 rows
15 columns

CREATE TABLE n_2021_ni_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 2021 Nl Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_nl_region_mobility_report

604.7 kB
132,785 rows
15 columns

CREATE TABLE n_2021_nl_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 2021 No Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_no_region_mobility_report

194.79 kB
54,520 rows
15 columns

CREATE TABLE n_2021_no_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 2021 Np Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_np_region_mobility_report

19.82 kB
365 rows
15 columns

CREATE TABLE n_2021_np_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 2021 Nz Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_nz_region_mobility_report

55.67 kB
6,205 rows
15 columns

CREATE TABLE n_2021_nz_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 2021 Om Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_om_region_mobility_report

40.84 kB
4,380 rows
15 columns

CREATE TABLE n_2021_om_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 2021 Pa Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_pa_region_mobility_report

21.8 kB
730 rows
15 columns

CREATE TABLE n_2021_pa_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 2021 Pe Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_pe_region_mobility_report

237.12 kB
48,899 rows
15 columns

CREATE TABLE n_2021_pe_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 2021 Pg Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_pg_region_mobility_report

18.85 kB
365 rows
15 columns

CREATE TABLE n_2021_pg_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 2021 Ph Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_ph_region_mobility_report

79.54 kB
9,490 rows
15 columns

CREATE TABLE n_2021_ph_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 2021 Pk Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_pk_region_mobility_report

66.72 kB
7,665 rows
15 columns

CREATE TABLE n_2021_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" BIGINT,
  "transit_stations_percent_change_from_baseline" DOUBLE,
  "workplaces_percent_change_from_baseline" BIGINT,
  "residential_percent_change_from_baseline" DOUBLE
);

N 2021 Pl Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_pl_region_mobility_report

722.8 kB
143,232 rows
15 columns

CREATE TABLE n_2021_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 2021 Pr Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_pr_region_mobility_report

97.99 kB
23,995 rows
15 columns

CREATE TABLE n_2021_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 2021 Pt Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_pt_region_mobility_report

332.42 kB
71,323 rows
15 columns

CREATE TABLE n_2021_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 2021 Py Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_py_region_mobility_report

56.17 kB
6,570 rows
15 columns

CREATE TABLE n_2021_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" BIGINT,
  "residential_percent_change_from_baseline" DOUBLE
);

N 2021 Qa Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_qa_region_mobility_report

20.71 kB
730 rows
15 columns

CREATE TABLE n_2021_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 2021 Re Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_re_region_mobility_report

19.04 kB
503 rows
15 columns

CREATE TABLE n_2021_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 2021 Ro Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_ro_region_mobility_report

378.55 kB
98,090 rows
15 columns

CREATE TABLE n_2021_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 2021 Rs Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_rs_region_mobility_report

21.78 kB
730 rows
15 columns

CREATE TABLE n_2021_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 2021 Ru Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_ru_region_mobility_report

57.47 kB
6,205 rows
15 columns

CREATE TABLE n_2021_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 2021 Rw Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_rw_region_mobility_report

36.87 kB
4,315 rows
15 columns

CREATE TABLE n_2021_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 2021 Sa Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_sa_region_mobility_report

49.18 kB
5,110 rows
15 columns

CREATE TABLE n_2021_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 2021 Se Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_se_region_mobility_report

340.24 kB
91,486 rows
15 columns

CREATE TABLE n_2021_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 2021 Sg Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_sg_region_mobility_report

18.12 kB
365 rows
15 columns

CREATE TABLE n_2021_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 2021 Si Region Mobility Report

@kaggle.aiswaryaramachandran_google_mobility_data.n_2021_si_region_mobility_report

124.93 kB
44,638 rows
15 columns

CREATE TABLE n_2021_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
);