README.md

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

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 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()

| data_set_name | function_to_get_data | data_details | | :------------------------------------ | :--------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | covid19mobility_apple_country | refresh_covid19mobility_apple_country | Data reflects relative volume of directions requests compared to a baseline volume on January 13th, 2020 for multiple transportation modes aggregated at the country level. | | covid19mobility_apple_subregion | refresh_covid19mobility_apple_subregion | Data reflects relative volume of directions requests compared to a baseline volume on January 13th, 2020 for multiple transportation modes aggregated at the subregion (state) level. | | covid19mobility_apple_city | refresh_covid19mobility_apple_city | Data reflects relative volume of directions requests compared to a baseline volume on January 13th, 2020 for multiple transportation modes aggregated at the city level. | | covid19mobility_google_country | refresh_covid19mobility_google_country | Changes for each day are compared to a baseline value for that day of the week as compared to the 5-week period Jan 3-Feb 6, 2020 for visits to places falling in to certain categories. | | covid19mobility_google_subregions | refresh_covid19mobility_google_subregions | Changes for each day are compared to a baseline value for that day of the week as compared to the 5-week period Jan 3-Feb 6, 2020 for visits to places falling in to certain categories. Data is aggregated at the state or subdivision level. | | covid19mobility_google_us_counties | refresh_covid19mobility_google_us_counties | Changes for each day are compared to a baseline value for that day of the week as compared to the 5-week period Jan 3-Feb 6, 2020 for visits to places falling in to certain categories. Data is aggregated at the county level for the USA only. |

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()
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#> # A tibble: 6 x 7
#>   date       location location_type location_code location_code_t… data_type
#>   <date>     <chr>    <chr>         <chr>         <chr>            <chr>    
#> 1 2020-02-15 Autauga… county        01001         fips_code        retail_a…
#> 2 2020-02-15 Autauga… county        01001         fips_code        grocery_…
#> 3 2020-02-15 Autauga… county        01001         fips_code        parks_pe…
#> 4 2020-02-15 Autauga… county        01001         fips_code        transit_…
#> 5 2020-02-15 Autauga… county        01001         fips_code        workplac…
#> 6 2020-02-15 Autauga… county        01001         fips_code        resident…
#> # … with 1 more variable: value <int>

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.