Data Summaries
Objectives
R and RStudio have their roots in statistical programming, a type of programming focused on solving data analysis problems. In this module, we will learn how to import data files into R and how to summarize their contents. These are usually the first steps you’ll include when building a script for data analysis.
Readings
You should read this chapter before you come to class:
- Applied Data Skills - Chapter 4: Data Summaries
In-class exercises
We will follow along with the examples given in the textbook. Create an R project called data-summaries, and save today’s work in an R markdown report called summary.Rmd. We will also practice reading in a csv file and summarizing key variables using the screentime dataset.
In addition, we will review data visualization techniques by writing whiteboard code for three example plots (a bar plot, scatterplot, and histogram), recapping the key components of building up plot layers with the ggplot package.
Weekly assignment
No homework this week. You should spend this time working on your midterm project.