From 33290bb2589f24b8a70be28a2e75d036e99462d7 Mon Sep 17 00:00:00 2001 From: Alex Gebben Work Date: Mon, 5 Oct 2026 17:02:00 -0600 Subject: [PATCH] Added minor line to show averages for paper --- Data_Center_Visuals.r | 3 +++ 1 file changed, 3 insertions(+) diff --git a/Data_Center_Visuals.r b/Data_Center_Visuals.r index 51a99f7..5b61149 100644 --- a/Data_Center_Visuals.r +++ b/Data_Center_Visuals.r @@ -98,6 +98,9 @@ IMPLAN_DOLLAR_REGION <- IMPLAN_DOLLAR %>% filter(Impact %in% c('Income','Output' ########################Plot of total impact in US and in Wyoming IMPLAN_REGION_DOLLAR_PLOT <- ggplot(IMPLAN_DOLLAR_REGION ,aes(x=Year,y=value/10^9,fill=Region,group=Region))+geom_area()+facet_wrap(~Impact,ncol=1)+ylab("Billion Dollars")+theme_bw()+ theme(plot.title = element_text(size = 22, face = "bold"), axis.title = element_text(size = 18),axis.text = element_text(size = 16),legend.text = element_text(size = 14),strip.text = element_text(size = 14),legend.position="top")+ theme(legend.title=element_blank())+scale_fill_manual(values=c("#3C3B6E","#FFC425"))+scale_x_continuous(breaks=seq(2025,2060,by=5))+scale_y_continuous(breaks=seq(0,5000,by=1)) +#IMPLAN_DOLLAR_REGION %>% group_by(Impact,Year) %>% summarize(value=sum(value)) %>% group_by(Impact) %>% summarize(Peak=max(value)/10^9) +#IMPLAN_DOLLAR_REGION %>% filter(Year>2040) %>% group_by(Impact) %>% summarize(value=mean(value)/10^6) + ggsave( filename = "./Results/Data Center: Dollar Values of Model.png", plot = IMPLAN_REGION_DOLLAR_PLOT, width = 8.5, height = 11*(3./4), units = "in", dpi = 300) ########################Taxes IMPLAN_TAX <- IMPLAN_DOLLAR %>% filter(Impact %in% c("County","State","Federal"))