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)))