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Improving graphs

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alex 2026-08-28 15:15:31 -06:00
parent eae3f1c5e0
commit fb3e8327be
1 changed files with 11 additions and 2 deletions
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13
IMPLAN_Visuals.r
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@ -12,10 +12,19 @@ return(DATA)
}
DATA <- GET_DATA()
TEMP <- DATA %>% filter(year==2035)
TEMP <- DATA %>% filter(year==2035)
RES <- TEMP %>% mutate(year=2036)
for(i in 2037:2060){
RES <- RES %>% rbind(TEMP %>% mutate(year=i))
}
DATA <- DATA %>% rbind(RES)
DATA$Type <- factor(DATA$Type,levels=c("Direct","Indirect","Induced"))
DATA
EMP_WY <- DATA %>% filter(Impact=="Employment",Region=="WY")
DOL_WY <- DATA %>% filter(Impact!="Employment",Region=="WY")
ggplot(EMP_WY, aes(x = year, y = value, fill = Type)) + geom_bar(stat = "identity", position = "stack") + theme_minimal()
ggplot(EMP_WY, aes(x = year, y = value, fill = Type)) + geom_area(stat = "identity", position = "stack") + theme_bw()+scale_x_continuous(breaks=2026:2060)+scale_y_continuous(breaks=seq(0,10000,by=250))+ylab("Wyoming Employment Additions\n(Full-time Equivalent)")
?scale_y_continuous
ggplot(DOL_WY, aes(x = year, y = value/10^9, fill = Type)) + geom_bar(stat = "identity", position = "stack") + theme_minimal()+facet_wrap(~Impact)