Hands-On Data Science with R

Summarizing data

As noted earlier, there are several facilities in R for summarizing data, both in base R, as well as through multiple R packages.

Using plotting functionalities such as correlograms and trellis plots, users can visualize the data in a holistic or homogeneous view.

For plotting the correlogram, we'll use the R package, ggcorrplot, as follows:

install.packages("ggcorrplot") 
hcorr <- cor(na.omit(Hartnagel)) 
ggcorrplot(hcorr,hc.order = T, ggtheme = theme_bw, insig="blank",  colors = brewer.pal(11,"RdYlGn")[c(1,6,11)]) 

The output is as follows:

Variables that are more closely correlated are in a darker green shade relative to the ...