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README.md
In 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:
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()
#> | | | 0% | |====== | 8% | |============ | 17% | |============= | 19% | |=================== | 27% | |======================== | 34% | |============================== | 42% | |==================================== | 51% | |======================================= | 55% | |============================================= | 64% | |================================================ | 68% | |====================================================== | 77% | |============================================================ | 85% | |=============================================================== | 89% | |===================================================================== | 98% | |======================================================================| 100%
#> | | | 0% | |= | 2% | |=== | 4% | |==== | 6% | |===== | 7% | |====== | 9% | |======== | 11% | |======== | 12% | |========== | 14% | |========== | 15% | |============ | 17% | |============= | 19% | |============== | 20% | |=============== | 21% | |================ | 22% | |================= | 24% | |================== | 26% | |=================== | 27% | |==================== | 29% | |===================== | 30% | |====================== | 32% | |======================== | 34% | |======================== | 35% | |========================== | 37% | |========================== | 38% | |============================ | 39% | |============================= | 41% | |============================== | 42% | |=============================== | 44% | |================================ | 45% | |================================= | 47% | |================================== | 49% | |=================================== | 50% | |==================================== | 52% | |===================================== | 53% | |====================================== | 54% | |======================================= | 56% | |======================================== | 57% | |========================================= | 59% | |========================================== | 60% | |=========================================== | 62% | |============================================= | 64% | |============================================= | 65% | |=============================================== | 67% | |=============================================== | 68% | |================================================= | 70% | |================================================== | 71% | |=================================================== | 72% | |==================================================== | 74% | |===================================================== | 75% | |====================================================== | 77% | |======================================================= | 79% | |======================================================== | 80% | |========================================================= | 82% | |========================================================== | 83% | |=========================================================== | 85% | |============================================================= | 87% | |============================================================= | 88% | |=============================================================== | 89% | |=============================================================== | 90% | |================================================================= | 92% | |================================================================== | 94% | |=================================================================== | 95% | |==================================================================== | 97% | |===================================================================== | 98% | |======================================================================| 100%
#> # 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.
Try the covid19mobility package in your browser
Any scripts or data that you put into this service are public.
covid19mobility documentation built on July 20, 2020, 5:07 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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:
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()
#> | | | 0% | |====== | 8% | |============ | 17% | |============= | 19% | |=================== | 27% | |======================== | 34% | |============================== | 42% | |==================================== | 51% | |======================================= | 55% | |============================================= | 64% | |================================================ | 68% | |====================================================== | 77% | |============================================================ | 85% | |=============================================================== | 89% | |===================================================================== | 98% | |======================================================================| 100%
#> | | | 0% | |= | 2% | |=== | 4% | |==== | 6% | |===== | 7% | |====== | 9% | |======== | 11% | |======== | 12% | |========== | 14% | |========== | 15% | |============ | 17% | |============= | 19% | |============== | 20% | |=============== | 21% | |================ | 22% | |================= | 24% | |================== | 26% | |=================== | 27% | |==================== | 29% | |===================== | 30% | |====================== | 32% | |======================== | 34% | |======================== | 35% | |========================== | 37% | |========================== | 38% | |============================ | 39% | |============================= | 41% | |============================== | 42% | |=============================== | 44% | |================================ | 45% | |================================= | 47% | |================================== | 49% | |=================================== | 50% | |==================================== | 52% | |===================================== | 53% | |====================================== | 54% | |======================================= | 56% | |======================================== | 57% | |========================================= | 59% | |========================================== | 60% | |=========================================== | 62% | |============================================= | 64% | |============================================= | 65% | |=============================================== | 67% | |=============================================== | 68% | |================================================= | 70% | |================================================== | 71% | |=================================================== | 72% | |==================================================== | 74% | |===================================================== | 75% | |====================================================== | 77% | |======================================================= | 79% | |======================================================== | 80% | |========================================================= | 82% | |========================================================== | 83% | |=========================================================== | 85% | |============================================================= | 87% | |============================================================= | 88% | |=============================================================== | 89% | |=============================================================== | 90% | |================================================================= | 92% | |================================================================== | 94% | |=================================================================== | 95% | |==================================================================== | 97% | |===================================================================== | 98% | |======================================================================| 100%
#> # 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.
Try the covid19mobility package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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