Created
October 13, 2013 16:48
UK House Prices vs. Household Incomes
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
rm(list=ls()) | |
library(plyr) | |
library(ggplot2) | |
library(RColorBrewer) | |
price_data_dir = "C:\\***\\" | |
price_data_filepaths = paste(price_data_dir,list.files(price_data_dir),sep="") | |
price_data_list = lapply(price_data_filepaths,FUN<-function(x) read.csv(x,header=FALSE)) | |
price_data = do.call(rbind,price_data_list) #this gives about 1.5mil transactions during 2010-2011 | |
price_percentiles = quantile(price_data[,2],probs = seq(0.01,0.99,by=0.01)) #we know column 2 contains the prices | |
income_data_filepath = "C:\\***\\Income.csv" | |
income_data = read.csv(income_data_filepath) | |
income_percentiles = income_data[,2] * 52 # data is weekly income percentiles | |
ratio_data = data.frame(percentile = 1:99, | |
price = price_percentiles, | |
income = income_percentiles, | |
ratio = price_percentiles / income_percentiles) | |
#copying the gaurdians different shading fo 10% points and the median | |
ratio_data$percentile_rank = rep(3,nrow(ratio_data)) | |
ratio_data$percentile_rank[!is.na(match(ratio_data$percentile,1:9*10))] = 2 | |
ratio_data$percentile_rank[!is.na(match(ratio_data$percentile,50))] = 1 | |
ratio_data$percentile_rank = factor(ratio_data$percentile_rank,c(1:3)) | |
bespoke_colour_set = c("black",brewer.pal(9,"Set1")[c(5,1)]) | |
#plot the results | |
png(filename = "C:\\***\\income.png", | |
width = 700, | |
heigh = 350) | |
income_graph<-ggplot(ratio_data,aes(x = percentile,y = income / 1000,fill = percentile_rank)) + | |
geom_bar(stat='identity',width=0.5) + | |
ylab("Household Income / k£") + | |
guides(fill=FALSE) + | |
scale_fill_manual(values = bespoke_colour_set)+ | |
scale_x_continuous(breaks = 1:9*10)+ | |
theme_bw()+ | |
theme(panel.grid.major.x = element_blank(),panel.grid.minor.x = element_blank()) | |
print(income_graph) | |
dev.off() | |
png(filename = "C:\\***\\price.png", | |
width = 700, | |
heigh = 350) | |
price_graph<-ggplot(ratio_data,aes(x = percentile,y = price / 1000,fill = percentile_rank)) + | |
geom_bar(stat='identity',width=0.5) + | |
ylab("House Price / k£") + | |
guides(fill=FALSE) + | |
scale_x_continuous(breaks = 1:9*10)+ | |
scale_fill_manual(values = bespoke_colour_set)+ | |
theme_bw()+ | |
theme(panel.grid.major.x = element_blank(),panel.grid.minor.x = element_blank()) | |
print(price_graph) | |
dev.off() | |
png(filename = "C:\\***\\ratio.png", | |
width = 750, | |
heigh = 350) | |
ratio_graph<-ggplot(ratio_data,aes(x = percentile,y = ratio,colour = percentile_rank)) + | |
geom_point() + | |
ylab("Household Income / House Price") + | |
guides(colour=FALSE) + | |
scale_x_continuous(breaks = 1:9*10)+ | |
scale_colour_manual(values = bespoke_colour_set)+ | |
theme_bw()+ | |
theme(panel.grid.major.x = element_blank(),panel.grid.minor.x = element_blank())+ | |
ylim(5,11) | |
print(ratio_graph) | |
dev.off() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment