Tag: r

Categories
Data Visualization

Create Table Lens Display with R and ggplot2

I’m trying to recreate this graph (from the cover of Show Me the Numbers) with R and ggplot2:

Show-Me-the-Numbers-cover

A kind fellow (named Vivek Patil) on the ggplot2 mailing list got me started with some code:

tea=c("Arabian","French Roast")
Sales=c(10000, 15000)
Plan=c(12000,12000)
Variance=c(-2000,3000)
df=data.frame(tea=tea,Sales=Sales,Plan=Plan,Variance=Variance)

library(ggplot2)
library(gridExtra)
library(ggthemes)
salesplan=ggplot(df,aes(x=tea,y=Sales,fill=tea))+geom_bar(stat="identity")+
geom_segment(aes(x=as.numeric(df$tea)-.475,xend=as.numeric(df$tea)+.475,y=df$Plan,yend=df$Plan))+
ggtitle("Sales vs Plan")+ coord_flip() +theme_few()+scale_fill_few("medium")+
theme(legend.position="None", axis.title.y=element_blank(),axis.title.x=element_blank())

varianceplan=ggplot(df,aes(x=tea,y=Variance,fill=tea))+geom_bar(stat="identity")+
coord_flip()+ggtitle("Variance to Plan")+theme_few()+scale_fill_few("medium")+
theme(legend.position="None",axis.text.y = element_blank(),axis.title.y=element_blank(),
axis.title.x=element_blank())

grid.arrange(salesplan,varianceplan,ncol=2)

That code generates this graph:

Graph from starter code

I built on that by adding more data, saving it to a CSV file and then running the ggplot2 again. Here is the CSV data:

,Product,Sales,Plan,Variance,Variance2,Type
1,Arabian,10000,12000,-2000,-0.1667,Espresso
2,French Roast,15000,12000,3000,0.2500,Coffee
3,Green Tea,18000,15000,3000,0.2000,Tea
4,Mint,19000,16000,3000,0.1875,Herbal Tea
5,Italian Roast,19000,17000,2000,0.1176,Espresso
6,Sumatra,33000,37000,-4000,-0.1081,Coffee
7,Earl Grey,36000,30000,6000,0.2000,Tea
8,Darjeeling,38000,33000,5000,0.1515,Tea
9,Chamomile,40000,35000,5000,0.1429,Herbal Tea
10,Garuda,42000,40000,2000,0.0500,Espresso
11,Mocha-Java,45000,47000,-2000,-0.0426,Espresso
12,Lemon,50000,42000,8000,0.1905,Herbal Tea
13,Columbian,65000,68000,-3000,-0.0441,Coffee

Here is the code:

df <- read.csv(file="DisplayTableData.csv", header=TRUE, sep=",")

library(ggplot2)
library(gridExtra)
library(ggthemes)
salesplan=ggplot(df,aes(x=Product,y=Sales,fill=Product))+geom_bar(stat="identity")+
  geom_segment(aes(x=as.numeric(df$Product)-.475,xend=as.numeric(df$Product)+.475,y=df$Plan,yend=df$Plan))+
  ggtitle("Sales vs Plan")+ coord_flip() +theme_few()+scale_fill_few("medium")+
  theme(legend.position="None", axis.title.y=element_blank(),axis.title.x=element_blank())

varianceplan=ggplot(df,aes(x=Product,y=Variance2,fill=Product))+geom_bar(stat="identity")+
  coord_flip()+ggtitle("Variance to Plan %")+theme_few()+scale_fill_few("medium")+
  theme(legend.position="None",axis.text.y = element_blank(),axis.title.y=element_blank(),
        axis.title.x=element_blank())

grid.arrange(salesplan,varianceplan,ncol=2)

And here is the graph:

Graph from starter code2
As you can see, I’ve got some more work to do. I’m reading through the docs and trying things out. Hopefully, my next post will show complete working code.