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This textbook introduces exploratory data analysis (EDA) and covers the range of interesting features we can expect to find in data. The book also explores the practical mechanics of using R to do EDA. Based on the author's course at the University of Connecticut, Exploratory Data Analysis Using R assumes no prior exposure to data analysis or programming, and is designed to be as non-mathematical as possible. Exercises are included throughout, and a Solutions Manual will be available. The author will also provide a supplemental R package through the Comprehensive R Archive Network that will include implementations of some of the features in Exploratory Data Analysis Using R, along with data examples, tools, and datasets.
- Data, Exploratory Analysis and R
- Five Data Analyses Using R
- An Introduction to Exploratory Data Analysis
- Graphics in R
- Programming in R
- Working with External Data
- An Introduction to Predictive Modeling
- Working with Text Data
- Crafting Data
- Stories
- Keeping it All Together
