Applied Data Visualization with R and ggplot2

Creating a Correlation Plot

In this section, we'll make a correlation plot for all continuous variables in the gapminder dataset. Let's begin by implementing the following steps:

1. Choose only continuous variables by using the following command:

dfs1 <- dfs[,colnames(dfs)[4:9]]

2. Remove all NAs; otherwise, the correlation will not work, because it requires finite values:

dfs1 <- na.omit(dfs1)

3. Get the correlation matrix, M, using the following command:

M <- cor(dfs1)

4. Plot the correlation matrix using the following command:

corrplot(M,method="circle") 

The plot will look as follows:

5. The preceding plot looks messy because of its long names. ...