Languages in Toronto by Neighborhood |
Cross referencing with Google Earth shows that, with regards to Chinese speakers, the neighborhoods were in the Northeast end of Toronto. For Tamil speakers, prominent neighborhoods were in the East end. For Tagalog, prominent neighborhoods were in the North end. Public data came from a 2011 survey conducted by Wellbeing Toronto, a program with the City of Toronto. I attached a link to all Excel and coding files.
For the coding, I had to learn to create bar graphs using the barplot function, create columns in a dataset and order values by size. My coding is as follows:
#Language in Toronto
#By Matthew Mano
lang<-read.csv("torontoLanguage.csv", header=T)
Import the file
lang$PCh<-(lang$Ch/lang$Tot)*100
lang$PTl<-(lang$Tam/lang$Tot)*100
lang$PTg<-(lang$Tag/lang$Tot)*100
Create three additional columns with the percent population
lang.newch<-lang[order(-lang$PCh),c(1,6)]
lang.newtl<-lang[order(-lang$PTl),c(1,7)]
lang.newtg<-lang[order(-lang$PTg),c(1,8)]
Order the percent population by decreasing size
par(mfrow=c(3,1))
Display 3 charts in 1 window
barplot(height=lang.newch$PCh[1:4],names.arg=lang.newch$Ne[1:4],ylab="Percent out of Total Population (%)",border=NA)
Create a barplot of the first four neighborhoods for Chinese speakers. Did the same for the other two languages.
title(main="Toronto Neighborhoods with the Greatest Percent of Chinese Speakers")
barplot(height=lang.newtl$PTl[1:4],names.arg=lang.newtl$Ne[1:4],ylab="Percent out of Total Population (%)",border=NA)
title(main="Toronto Neighborhoods with the Greatest Percent of Tamil Speakers")
barplot(height=lang.newtg$PTg[1:4],names.arg=lang.newtg$Ne[1:4],ylab="Percent out of Total Population (%)",border=NA)
title(main="Toronto Neighborhoods with the Greatest Percent of Tagalog Speakers",)
Link for downloads: http://bit.ly/20xMtvZ
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