Added 1980's Data
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Data/Pop_1980s.xls
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Data/Pop_1980s.xls
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@ -1,7 +1,7 @@
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library(rvest)
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library(tidyverse)
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library(readxl)
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#setwd("../")
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########County, Death, Birth and Migration Data
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#Data found on the page http://eadiv.state.wy.us/pop/
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PAGE <- read_html("http://eadiv.state.wy.us/pop/BirthDeathMig.htm")
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@ -118,6 +118,37 @@ TEMP <- TEMP[1:which(TEMP[,1]=="Wind River Res."),]
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TEMP <- pivot_longer(TEMP,all_of(colnames(TEMP)[-1]),names_to="Year",values_to="Population") %>% mutate(Year=as.integer(Year),Population=as.numeric(Population))
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TEMP_COUNTY <- TEMP[grepl("Cnty",TEMP %>% pull(County),ignore.case=TRUE),]
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TEMP_CITY <- TEMP[grep("Cnty",TEMP %>% pull(County),ignore.case=TRUE,invert=TRUE),]
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TEMP_CITY
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TEMP_COUNTY$County <- gsub(" ","_",gsub(" "," ",gsub(" Cnty","",TEMP_COUNTY$County,ignore.case=TRUE)))
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TEMP_CITY <- TEMP[grep("Cnty",TEMP %>% pull(County),ignore.case=TRUE,invert=TRUE),]
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TEMP_CITY$County <- gsub("E_Therm","East_Therm",gsub(" ","_",gsub(" ","",TEMP_CITY %>% pull(County))))
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TEMP_CITY <- TEMP_CITY %>% rename(City=County)
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TEMP_CITY %>% pull(City) %>% unique %>% sort
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CITY_POP <- rbind(TEMP_CITY,CITY_POP)
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CITY_POP %>% pull(City) %>% unique %>% sort
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COUNTY_POP <- rbind(TEMP_COUNTY,COUNTY_POP)
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#ggplot(aes(x=Year,y=Population,group=County,color=County),data=COUNTY_POP)+geom_line()
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try(rm(TEMP_CITY,TEMP_COUNTY,TEMP))
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####################County and City Population DAta for 1980-1990
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if(!file.exists("./Data/Pop_1980s.xls")){download.file('http://eadiv.state.wy.us/pop/C&SC8090.xls',"./Data/Pop_1980s.xls")}
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TEMP <- read_xls("Data/Pop_1980s.xls",skip=2)[-1:-4,]
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colnames(TEMP)[1] <- "County"
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TEMP <- TEMP[2:which(TEMP[,1]=="Upton"),1:(min(which(is.na(TEMP[2,])))-1)]
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TEMP <- pivot_longer(TEMP,all_of(colnames(TEMP)[-1]),names_to="Year",values_to="Population") %>% mutate(Year=as.integer(Year),Population=as.numeric(Population))
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TEMP_COUNTY <- TEMP[grepl("Cty",TEMP %>% pull(County),ignore.case=TRUE),]
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TEMP_COUNTY$County <- gsub(" ","_",gsub(" "," ",gsub(" Cty","",TEMP_COUNTY$County,ignore.case=TRUE)))
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TEMP_CITY <- TEMP[grep("Cty",TEMP %>% pull(County),ignore.case=TRUE,invert=TRUE),]
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TEMP_CITY$County <-gsub("Frannie_","Frannie", gsub("Mtn._View","Mountain_View",gsub("E._Therm","East_Therm",gsub(" ","_",gsub(" ","",TEMP_CITY %>% pull(County))))))
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TEMP_CITY <- TEMP_CITY %>% rename(City=County)
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CITY_POP <- rbind(TEMP_CITY,CITY_POP)
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COUNTY_POP <- rbind(TEMP_COUNTY,COUNTY_POP)
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#ggplot(aes(x=Year,y=Population,group=County,color=County),data=COUNTY_POP)+geom_line()
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try(rm(TEMP_CITY,TEMP_COUNTY,TEMP))
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