The example_US_stateObesity dataset provides a small
state dataset to use in code examples. The code for creating it demonstrates
creation of a dataest that is compatible with stateMap().
This dataset was generated on 2020-06-09 by running:
library(dplyr)
library(MazamaSpatialUtils)
fileUrl <- paste0("http://data-lakecountyil.opendata.arcgis.com/datasets/",
"3e0c1eb04e5c48b3be9040b0589d3ccf_8.csv")
col_names <- c("FID", "stateName", "obesityRate", "SHAPE_Length", "SHAPE_Area")
col_types = "icddd"
outputColumns <- c("stateCode", "stateName", "obesityRate")
# After a little trial and error, the following works well:
example_US_stateObesity <-
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::select(!!outputColumns)
save(example_US_stateObesity, file = "data/example_US_stateObesity.rda")example_US_stateObesityA tibble with 52 rows and 3 columns of data.