Exploratory Data Analysis Using R

About this book

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.

Contents

- 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

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