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Fixed a calc issue with avg. employment

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Alex Gebben Work 2026-04-29 11:51:55 -06:00
parent 5048f60fb2
commit 2c94e6c067
1 changed files with 6 additions and 0 deletions
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Visuals.r
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@ -15,6 +15,11 @@ EMPLOY_NUM <- rbind(EMPLOY_NUM %>% filter(!(Year %in% c(2028,2029))) ,EMPLOY_NU
EMPLOY_NUM$Category <- gsub(" Employment","",EMPLOY_NUM$Category)
EMPLOY_NUM$Category <- factor(EMPLOY_NUM$Category,levels=rev(c("Direct","Indirect","Induced","Total")))
EMPLOY_NUM %>% filter(Employment=='Direct')
EMPLOY_NUM
EMPLOY_NUM %>% filter(Category=='Total',Employment!=0)%>% mutate(Period=ifelse(Year>2033,"Operating","Construction")) %>% group_by(Period) %>% summarize(Employment=mean(Employment))
EMPLOY_NUM %>% filter(Category=='Total')%>% mutate(Period=ifelse(Year>2033,"Operating","Construction")) %>% group_by(Period) %>% summarize(Employment=mean(Employment))
EMPLOY_NUM %>% filter(Category=='Total') %>% print(n=100)
COLORS <- rev(paletteer_d("fishualize::Alosa_fallax",n=4,direction=1)[-2])
MAX_VAL <- round(max(EMPLOY_NUM$Employment))
@ -190,6 +195,7 @@ write_csv(NPV_SUMMARY,paste0(OUTPUT_DIR,"GDP_Net_Present_Value.csv" ))
#######################
TAX <- DOLLAR_VALUES %>% filter(Metric=='Wyoming Taxes') %>% select(Year,Tax=`Million (USD)`)
TAX %>% mutate(Period=ifelse(Year>2033,"Operating","Construction")) %>% group_by(Period) %>% summarize(Mean_Tax=mean(Tax),Max_Tax=max(Tax))
TAX_SUMMARY <- TAX %>% group_by(Year) %>% summarize(Tax=sum(Tax),NPV_3=(Tax/((1+0.03)^(Year-2029))),NPV_5=(Tax/((1+0.05)^(Year-2029))),NPV_7=(Tax/((1+0.07)^(Year-2029)))) %>% ungroup
NPV_3 <- TAX_SUMMARY %>% pull(NPV_3) %>% sum