Learn the basics of R, the free, open-source language for data science. Discover how to use R and RStudio for beginner-level data modeling, visualization, and statistical analysis.
Overview
Syllabus
Introduction
- R for data science
- Using the exercise files
- R in context
- Installing R
- Environments for R
- Installing RStudio
- Navigating the RStudio environment
- Entering data
- Data types and structures
- Comments and headers
- Packages for R
- The tidyverse
- Piping commands with |
- Sample datasets
- Importing data from a spreadsheet
- Using colors in R
- Creating bar charts
- Creating histograms
- Creating box plots
- Creating scatterplots
- Creating line charts
- Creating cluster charts
- Selecting cases and subgroups
- Recoding variables
- Computing new variables
- Computing frequencies
- Computing descriptives
- Computing correlations
- Computing a linear regression
- Computing contingency tables
- Next steps
Taught by
Barton Poulson
