#' @title Check and plot air quality by state
#'
#' @description This function gets the data from CDC, the outcome is a combination outcome of
#' monitoring ozone and PM2.5.
#' @param data Dataset to use for map. The default dataset is AirQuality_Tracking.
#' @param year A numeric. The report year of the air quality data.
#' @author Yiquan Xu
#' @examples
#' checkAirQuality(year=2010)
#'
#' @export
checkAirQuality <- function(data = AirQuality_Tracking, year){
map <- data%>%
filter(Value<=1000 & Unit != "%" & ReportYear == year)%>%
dplyr::group_by(StateName)%>%
dplyr::summarise(AirQuality = mean(Value))
code <- state.abb[match((map$StateName),state.name)] #convert long state name to abbreviation
code <- as.factor(code)
map$CODE <- code
g <- list(
scope = 'usa',
projection = list(type = 'albers usa'),
showlakes = TRUE,
lakecolor = toRGB('white')
)
map_state <- plot_geo(map, locationmode = 'USA-states') %>%
add_trace(
z = ~AirQuality, text = ~StateName, locations = ~code,
color = ~AirQuality, colors = 'Purples'
) %>%
colorbar(title = "AirQuality") %>%
layout(
title = paste("AirQuality","of","year",year),
geo = g)
print(map_state)
}
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