September 2018
Beginner to intermediate
140 pages
2h 52m
English
Content preview from Applied Data Visualization with R and ggplot2
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Using Different Colors to Group Points by a Variable
In this section, we'll produce a color differentiated scatter plot with respect to a third variable. Let's begin by implementing the following steps:
- Choose a subset of dataset 1 (gapminder) and select a few countries. Use the following subset command:
dfs <- subset(df,Country %in%c("Germany","India","China","United States"))
- Make a scatter plot of the two variables and change the x and y titles:
p1<- ggplot(df,aes_string(x=var1,y=var2))+)geom_point(color=2,shape=2)+xlim(0,10000)+xlab(name1)+ylab(name2)
- Then, change the colors and shapes of the points for plot 1:
p2 <- ggplot(df,aes_string(x=var1,y=var2))+geom_t(aes(color=Country,shape=Country))+xlim(0,10000)+xlab(name1)+ylab(name2) ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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