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:
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() #> # 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>
