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Added 1980's Data

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Alex 2025-10-07 13:56:38 -06:00
parent 5c1ad7185f
commit 5894881103
2 changed files with 34 additions and 3 deletions
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Data/Pop_1980s.xls Normal file
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Scripts/Data_Load.r
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@ -1,7 +1,7 @@
library(rvest) library(rvest)
library(tidyverse) library(tidyverse)
library(readxl) library(readxl)
#setwd("../")
########County, Death, Birth and Migration Data ########County, Death, Birth and Migration Data
#Data found on the page http://eadiv.state.wy.us/pop/ #Data found on the page http://eadiv.state.wy.us/pop/
PAGE <- read_html("http://eadiv.state.wy.us/pop/BirthDeathMig.htm") PAGE <- read_html("http://eadiv.state.wy.us/pop/BirthDeathMig.htm")
@ -118,6 +118,37 @@ TEMP <- TEMP[1:which(TEMP[,1]=="Wind River Res."),]
TEMP <- pivot_longer(TEMP,all_of(colnames(TEMP)[-1]),names_to="Year",values_to="Population") %>% mutate(Year=as.integer(Year),Population=as.numeric(Population)) TEMP <- pivot_longer(TEMP,all_of(colnames(TEMP)[-1]),names_to="Year",values_to="Population") %>% mutate(Year=as.integer(Year),Population=as.numeric(Population))
TEMP_COUNTY <- TEMP[grepl("Cnty",TEMP %>% pull(County),ignore.case=TRUE),] TEMP_COUNTY <- TEMP[grepl("Cnty",TEMP %>% pull(County),ignore.case=TRUE),]
TEMP_CITY <- TEMP[grep("Cnty",TEMP %>% pull(County),ignore.case=TRUE,invert=TRUE),] TEMP_COUNTY$County <- gsub(" ","_",gsub(" "," ",gsub(" Cnty","",TEMP_COUNTY$County,ignore.case=TRUE)))
TEMP_CITY
TEMP_CITY <- TEMP[grep("Cnty",TEMP %>% pull(County),ignore.case=TRUE,invert=TRUE),]
TEMP_CITY$County <- gsub("E_Therm","East_Therm",gsub(" ","_",gsub(" ","",TEMP_CITY %>% pull(County))))
TEMP_CITY <- TEMP_CITY %>% rename(City=County)
TEMP_CITY %>% pull(City) %>% unique %>% sort
CITY_POP <- rbind(TEMP_CITY,CITY_POP)
CITY_POP %>% pull(City) %>% unique %>% sort
COUNTY_POP <- rbind(TEMP_COUNTY,COUNTY_POP)
#ggplot(aes(x=Year,y=Population,group=County,color=County),data=COUNTY_POP)+geom_line()
try(rm(TEMP_CITY,TEMP_COUNTY,TEMP))
####################County and City Population DAta for 1980-1990
if(!file.exists("./Data/Pop_1980s.xls")){download.file('http://eadiv.state.wy.us/pop/C&SC8090.xls',"./Data/Pop_1980s.xls")}
TEMP <- read_xls("Data/Pop_1980s.xls",skip=2)[-1:-4,]
colnames(TEMP)[1] <- "County"
TEMP <- TEMP[2:which(TEMP[,1]=="Upton"),1:(min(which(is.na(TEMP[2,])))-1)]
TEMP <- pivot_longer(TEMP,all_of(colnames(TEMP)[-1]),names_to="Year",values_to="Population") %>% mutate(Year=as.integer(Year),Population=as.numeric(Population))
TEMP_COUNTY <- TEMP[grepl("Cty",TEMP %>% pull(County),ignore.case=TRUE),]
TEMP_COUNTY$County <- gsub(" ","_",gsub(" "," ",gsub(" Cty","",TEMP_COUNTY$County,ignore.case=TRUE)))
TEMP_CITY <- TEMP[grep("Cty",TEMP %>% pull(County),ignore.case=TRUE,invert=TRUE),]
TEMP_CITY$County <-gsub("Frannie_","Frannie", gsub("Mtn._View","Mountain_View",gsub("E._Therm","East_Therm",gsub(" ","_",gsub(" ","",TEMP_CITY %>% pull(County))))))
TEMP_CITY <- TEMP_CITY %>% rename(City=County)
CITY_POP <- rbind(TEMP_CITY,CITY_POP)
COUNTY_POP <- rbind(TEMP_COUNTY,COUNTY_POP)
#ggplot(aes(x=Year,y=Population,group=County,color=County),data=COUNTY_POP)+geom_line()
try(rm(TEMP_CITY,TEMP_COUNTY,TEMP))