Covid Mobility Python Library
From the CORGIS Dataset Project
By Sam Donald
Version 1.0.0, created 9/28/2022
Tags: Covid-19, social response, healthcare
Overview
Mobility analysis on how different populations are responding to the pandemic sourced from Google. A baseline day represents a normal value for that day of the week. The baseline day is the median value from the 5?week period Jan 3 � Feb 6, 2020.
https://github.com/owid/owid-datasets/tree/master/datasets/Google%20Mobility%20Trends%20(2020)
Explore Structure
Each row represents covid-report.
| Index | Type | Example Value |
|---|---|---|
| 0 | dict | { } |
| 1 | dict | (same structure) |
| 2 | dict | (same structure) |
| ... | ... | ... |
| Key | Type | Example Value | Description |
|---|---|---|---|
"Country" |
str |
"Afghanistan"
|
Nameof country |
"Days since outbreak" |
int |
47
|
Count of days passed since Covid-19 outbreak began |
"Location" |
dict | { } |
| Key | Type | Example Value | Description |
|---|---|---|---|
"Retail" |
float |
0.0
|
Change in retail activity from baseline (January average) |
"Grocery" |
float |
4.0
|
Change in grocery activity from baseline (January average) |
"Parks" |
float |
1.0
|
Change in park activity from baseline (January average) |
"Public transport" |
float |
5.667
|
Change in public transport activity from baseline (January average) |
"Workplace" |
float |
-6.333
|
Change in workplace activity from baseline (January average) |
"Residential" |
float |
1.333
|
Change in residential activity from baseline (January average) |
Downloads
Download all of the following files.
Usage
import covid_mobility
report = covid_mobility.get_report()
Documentation
- get_report()
- Returns a list of dictionaries representing Report.