apple_mobility: Apple Mobility Data
In kjhealy/covdata: COVID-19 Data

apple_mobility

R Documentation

Apple Mobility Data

Description

Data from Apple Maps on relative changes in mobility in various cities and countries.

Usage

apple_mobility

Format

A data frame with 2,254,515 rows and 7 variables:

country: character Country name (not provided for all countries)
sub_region: character Subregion names
subregion_and_city: character Subregion and city names
geo_type: character Type geographical unit. Values: city, country/region, sub-region
transportation_type: character Mode of transport. Values: driving, transit, or walking
date: double Date in yyyy-mm-dd format
score: double Activity score. Indexed to 100 on the first date of observation for a given mode of transport.

Details

Table: Data summary


Name	apple_mobility
Number of rows	2254515
Number of columns	7
_______________________
Column type frequency:
Date	1
character	5
numeric	1
________________________
Group variables	None

Variable type: Date

skim_variable	n_missing	complete_rate	min	max	median	n_unique
date	0	1	2020-01-13	2022-04-12	2021-02-26	819

Variable type: character

skim_variable	n_missing	complete_rate	min	max	empty	n_unique	whitespace
country	0	1	5	20	0	63	0
sub_region	0	1	4	46	0	606	0
subregion_and_city	0	1	4	46	0	853	0
geo_type	0	1	4	14	0	3	0
transportation_type	0	1	7	7	0	3	0

Variable type: numeric

skim_variable	n_missing	complete_rate	mean	sd	p0	p25	p50	p75	p100	hist
score	608041	0.73	122.59	66.81	2.43	83.79	113.72	148.8	2228.83	▇▁▁▁▁

Data made available by Apple, Inc. at https://www.apple.com/covid19/mobility, showing relative volume of directions requests per country/region or city compared to a baseline volume on January 13th, 2020. Apple defines the day as midnight-to-midnight, Pacific time. Cities represent usage in greater metropolitan areas and are stably defined during this period. In many countries/regions and cities, relative volume has increased since January 13th, consistent with normal, seasonal usage of Apple Maps. Day of week effects are important to normalize as you use this data. Data that is sent from users’ devices to the Apple Maps service is associated with random, rotating identifiers so Apple does not have a profile of individual movements and searches. Apple Maps has no demographic information about its users, and so cannot make any statements about the representativeness of its usage against the overall population.