Exploratory Data Analysis with R

This workshop will provide an introduction to Exploratory Data Analysis (EDA) in R using tidyverse packages (dplyr and ggplot2), skimr, and base R. The workshop will focus on loading data, creating a basic summary of the data, visualizing trends and using basic model building to explore relationships in data. Previous workshops within this series include Introduction to Computational Thinking, Getting Started with R: Basics, and Getting Started with R: Loops and Functions.

This workshop incorporates hands-on work, and there will be plenty of time for questions. Installing R and RStudio is not required for this workshop. We will work in a remote environment that will allow us to work in R without having to have R and RStudio installed on your personal machine.

Learning Objectives:

By the end of this workshop, you will be able to:

• Generate descriptive statistics using skimr and dplyr (part of tidyverse);

• Generate visualizations to explore distribution, location, variation and covariation in your data

• Choose appropriate visualizations for given data types (e.g. categorical vs. continuous) 

• Use EDA to identify patterns or clusters in data, common and rare value, as well as outliers