Peabody/IMPLAN_Visuals.r
2026-08-27 11:04:37 -06:00

9 lines
468 B
R

library(tidyverse)
GET_FILE <- function(YEAR){
read_csv(paste0("Model_Outputs/IMPLAN/US/US_",YEAR,"/economic_indicators_by_impact.csv")) %>% mutate(year=YEAR) %>% filter(!is.na(Impact))
}
DATA <- lapply(2028:2035,GET_FILE) %>% bind_rows()%>% rename(Income=`Labor Income`) %>% mutate(Income=parse_number(Income),`Value Added`=parse_number(`Value Added`),Output=parse_number(Output))
DATA
DATA$Impact <- gsub("3 - ","",gsub("2 - ","",gsub("1 - ","",DATA$Impact)))