Exploratory Data Analysis in R

Course Description

When your dataset is represented as a table or a database, it's difficult to observe much about it beyond its size and the types of variables it contains. In this course, you'll learn how to use graphical and numerical techniques to begin uncovering the structure of your data. Which variables suggest interesting relationships? Which observations are unusual? By the end of the course, you'll be able to answer these questions and more, while generating graphics that are both insightful and beautiful.

In the following tracks

Data Analyst Data Scientist

Datasets

Cars dataComics dataImmigration dataRaw life expectancy dataNames dataRaw U.S. income data

Collaborators

Nick CarchediTom Jeon

Prerequisites

Introduction to Data in R

Andrew Bray

Assistant Professor of Statistics at Reed College

Andrew Bray is an assistant professor of statistics at Reed College. His interests are in computing, differential privacy, environmental statistics, and statistics education. He is a co-author of the infer package for tidy statistical inference.

See More