The main objective of writing this recipe is to introduce the reader to the additional functionality of the plot3D package. Applying text to a plot provides readers with additional information. If the dataset is large, we might encounter the issue of overlapping text, but it is a great tool to explore and present data.
The package under the code title Two ways to make a scatter 3D of quakes dataset provides an interesting implementation of the scatter3D() function, where the data points in 3D space are projected on a 2D space.
We will install and load the plot3D package in R using the install.packages() and library() functions. Next, we load the data using the read.csv() function. The dataset is the same data we used in the previous recipe.
install.packages("plot3D")
library(plot3D)
inc= read.csv("income2.csv")We will define the column names as row names...