example_US_countyCovid {MazamaSpatialPlots} | R Documentation |
Example county Covid dataset
Description
The example_US_countyCovid
dataset provides a small
county dataset to use in code examples. The code for creating it demonstrates
creation of a dataest that is compatible with countyMap()
.
This dataset was generated on 2020-06-12 by running:
library(dplyr) library(MazamaSpatialUtils) fileUrl <- "https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-counties.csv" col_names <- c("date", "countyName", "stateName", "countyFIPS", "cases", "deaths") col_types = "Dcccii" outputColumns <- c("stateCode", "stateName", "countyFIPS", "countyName", "cases", "deaths") # After a little trial and error, the following works well: example_US_countyCovid <- readr::read_csv( file = fileUrl, skip = 1, # Skip the header line col_names = col_names, col_types = col_types ) %>% dplyr::mutate( stateCode = MazamaSpatialUtils::US_stateNameToCode(stateName), ) %>% dplyr::filter(.data$date == lubridate::ymd("2020-06-01")) %>% dplyr::select(!!outputColumns) save(example_US_countyCovid, file = "data/example_US_countyCovid.rda")
Usage
example_US_countyCovid
Format
A tibble with 52 rows and 3 columns of data.
[Package MazamaSpatialPlots version 0.2.0 Index]