In Covid19R/covid19mobility: Fetches Data on Covid-19 Mobility Trends from Different Sources

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
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covid19mobility

The goal of covid19mobility is to make mobility data from different sources available using the Covid19R Project Data Format Standard. Currently, this package imports data from: \

• The Apple Mobility Trends Report

• The Google Covid-19 Mobility Trends

Installation

<!-- You can install the released version of covid19mobility from CRAN with:

install.packages("covid19mobility")

-->

You can install the current version of covid19mobility from github with:

remotes::install_github("covid19r/covid19mobility")

Data Format

The covid19mobility library follows the Covid19R Project Data Format Standard, with some data sets holding extra data columns. To see what data is available, use get_info_covid19mobility()

library(covid19mobility)

get_info_covid19mobility() %>%
  dplyr::select(data_set_name, function_to_get_data, data_details) %>%
  knitr::kable()

The refresh methods bring in the different data sets. Currently available are: refresh_covid19mobility_apple_country() - Apple Mobility Data at the country level.
refresh_covid19mobility_subregion() - Apple Mobility Data at the state/subregion level.
refresh_covid19mobility_apple_city() - Apple Mobility Data at the city level. Contains some lat/longs for some cities.
refresh_covid19mobility_google_country() - Google Mobility Data at the country level.
refresh_covid19mobility_google_subregions() - Google Mobility Data at the state/subregion level.
refresh_covid19mobility_google_us_counties() - Google Mobility Data at the US county level with FIPS codes.

For example

refresh_covid19mobility_google_us_counties() %>%
  head()

Data Use and Licensing

Please see the relevant information about each data set and their licenses if you plan on using these data in any published works.

Covid19R/covid19mobility documentation built on March 11, 2021, 12:46 p.m.