As a powerful, free language built by statisticians for statisticians, R is an important tool for data scientists and statisticians like us. R is also extremely useful for other tasks like web development through the use of packages. See https://syllabusexplorer.harvard.edu/, https://r4ds.had.co.nz/index.html or https://sbilliau.shinyapps.io/Genetics/ for examples of websites and apps built with R.
RStudio is an integrated development environment (IDE) that allows you to write code, make graphics, access files, etc.
First, clone or download this repository. Using RStudio, open the Rbootcamp.R file and follow along.
Solutions are in the other resources folder.
The S2019 Stat 111 RBootcamp is in the other resources folder. It was created by great TFS in that class (Sundar Solai, Shaoyang Ning, Everett Sussman). It's a great resource as well.
The dataset for house data is from the F2019 iteration of Stat 139.