In part 1 of our hands-on series, we explain why R's a great choice for basic data analysis and visualization work, and how to get started.

It's all here in one place -- our popular <i>"Beginner's guide to using R."</i> You'll learn how to get your data into R, easy ways to do basic data analysis, painless data visualization, syntax ...

R comes with a "base" package, which gives you the ability to perform many common actions like finding the mean or plotting the histogram of a column of data. However, for specific types of actions we ...

In R, we can export a dataset using various file formats. Permissible file types are .xls, .xlsx, .csv, and .txt. In the sections below, we will focus on the .txt and .csv file types. The write.table( ...

Using Quarto with Observable JavaScript is a great solution for R and Python users who want to create more interactive and visually engaging reports.