Capital in the 21st Century: Chapter 13 ======================================================== ### Data provenance The data were downloaded as Excel files from: http://piketty.pse.ens.fr/en/capital21c2. ### Loading relevant libraries and data This document depends on the [xlsx](http://cran.r-project.org/web/packages/xlsx/index.html), [reshape2](http://cran.r-project.org/web/packages/reshape2/index.html), and [ggplot2](http://cran.r-project.org/web/packages/ggplot2/index.html) packages. ```{r loadCh13,message=FALSE, echo=FALSE} library(ggplot2) library(xlsx) library(reshape2) ## Table TS13.1 ts131 = read.xlsx("../_data/Chapter13TablesFigures.xlsx",sheetName="TS13.1",rowIndex=5:20,colIndex=c(1,2:5),header=TRUE) names(ts131) = c("Decade", "U.S.", "U.K.", "Sweden", "France") ts131m = melt(ts131,id.vars="Decade") names(ts131m) = c("Decade","Country","TaxRevenues") ts131m$TaxRevenuesPercents <- ts131m$TaxRevenues*100 ``` ```{r,dependson="loadCh13",fig.height=4,fig.width=8} ## Make Figure 13.1 ggplot(data=ts131m, aes(x=Decade,y=TaxRevenuesPercents,colour=Country),xlim=c(1870,2010)) + xlab("Year") + ylab("Tax Revenues (Percent National Income)") + geom_line() + geom_point(aes(shape=Country)) ``` Now there is a table to the side, that's not summarized into decades...let's see where this goes... ```{r loadCh13x,message=FALSE} ## Table TS13.1x, where x = extra ts131x = read.xlsx("../_data/Chapter13TablesFigures.xlsx",sheetName="TS13.1",rowIndex=5:146,colIndex=7:11,header=TRUE) names(ts131x) = c("Year", "U.S.", "U.K.", "Sweden", "France") ts131xm = melt(ts131x,id.vars="Year") names(ts131xm) = c("Year","Country","TaxRevenues") ts131xm$TaxRevenuesPercents <- ts131xm$TaxRevenues*100 ``` ```{r,dependson="loadCh13x",fig.height=4,fig.width=8} ## Make Figure 13.1x ggplot(data=ts131xm, aes(x=Year,y=TaxRevenuesPercents,colour=Country),xlim=c(1870,2010)) + xlab("Year") + ylab("Tax Revenues (Percent National Income)") + geom_line() + geom_point(aes(shape=Country)) ```