R/data.R

In bivariateLeaflet: Create Bivariate Choropleth Maps with 'Leaflet'

#' Washington DC Census Tract Data
#'
#' A dataset containing population and median household income for DC census tracts from ACS 2020.
#' This dataset includes spatial information for creating choropleth maps.
#'
#' @format An sf object with the following variables:
#' \describe{
#'   \item{GEOID}{Census tract identifier}
#'   \item{NAME}{Census tract name}
#'   \item{B01003_001}{Total population estimate from ACS}
#'   \item{B19013_001}{Median household income estimate from ACS}
#'   \item{geometry}{sf geometry column containing tract boundaries}
#' }
#' @source {U.S. Census Bureau, 2016-2020 American Community Survey 5-Year Estimates,
#'          retrieved using tidycensus package}
#' @examples
#' data(dc_data)
#' # View the first few rows of non-geometric columns
#' print(dc_data[1:5, c("GEOID", "B01003_001", "B19013_001")])
#' 
#' # Create a basic map
#' if (interactive()) {
#'   map <- create_bivariate_map(
#'     data = dc_data,
#'     var_1 = "B01003_001",    # Total population
#'     var_2 = "B19013_001"     # Median household income
#'   )
#' }
#' @keywords datasets
dc_data <- structure(function() NULL, class = "dc_data")