Name: Google Mobility
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

Google Mobility

Context

In order to decide how mobility gets affected due to COVD-19 concerns, I scoured the internet for useful sources of information. Upon searching enough I stumbled on the google's mobility website.

Content

Although the data on the mobility website of Google is in the PDF format, I thought this will be a great opportunity to convert into a dataset. It now can be ingested and used for further exploratory analysis related to COVID-19 effects.

Acknowledgements

Google for sharing the Mobility results of more than 150+ countries and US states. In turn, Google thanks the users who turn on the sharing of their location information for calculating the mobility.

Inspiration

It would be interesting to see this data being used for finding answers to questions such as

What impact does COVID-19 have on the world travel?
Does northern hemisphere have any characteristics related to mobility?
What are the possible changes we can make to tackle COVID-19?

Tables

Mobility Google

@kaggle.chaibapat_google_mobility.mobility_google

10.96 kB
193 rows
7 columns

CREATE TABLE mobility_google (
  "country" VARCHAR,
  "retail_recreation" VARCHAR  -- Retail \u0026 Recreation,
  "grocery_pharmacy" VARCHAR  -- Grocery \u0026 Pharmacy,
  "parks" VARCHAR,
  "transit_stations" VARCHAR,
  "workplaces" VARCHAR,
  "residential" VARCHAR
);