Exploratory Data Analysis Using R

ISBN-13: 9781498730235 / Angielski / Miękka / 2018 / 548 str.

Ronald K. Pearson

Opis

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, the book 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 this book, along with data examples, tools, and datasets.

Spis treści

I Analyzing Data Interactively with R 1 Data, Exploratory Analysis, and R 2 Graphics in R 3 Exploratory Data Analysis: A First Look 4 Working with External Data 5 Linear Regression Models 6 Crafting Data Stories II Developing R Programs 7 Programming in R 8 Working with Text Data 9 Exploratory Data Analysis: A Second Look 10 More General Predictive Models 11 Keeping It All Together

O autorze

Ronald K. Pearson currently works for GeoVera, a property insurance company in Fairfield, California, primarily in the analysis of text data. He holds a PhD in Electrical Engineering and Computer Science from the Massachussetts Institute of Technology and has published conference and journal papers on topics ranging from nonlinear dynamic model structure selection to the problems of disguised missing data in predictive modeling. Dr. Pearson has authored or co-authored books including Exploring Data in Engineering, the Sciences, and Medicine (Oxford University Press, 2011) and Nonlinear Digital Filtering with Python, co-authored with Moncef Gabbouj (CRC Press, 2015). He is also the developer of the DataCamp course on base R graphics.