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Exploratory data analysis using R / by Ronald K. Pearson

Author
Pearson, Ronald K., 1952-
Published
Boca Raton, FL : Chapman and Hall/CRC, an imprint of Taylor and Francis, 2018.
Physical Description
1 online resource (562 pages) : 147 illustrations
Additional Creators
Taylor & Francis
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Series
Contents
chapter 1 Data, Exploratory Analysis, and R / Ronald K. Pearson -- chapter 2 Graphics in R / Ronald K. Pearson -- chapter 3 Exploratory Data Analysis: A First Look / Ronald K. Pearson -- chapter 4 Working with External Data / Ronald K. Pearson -- chapter 5 Linear Regression Models / Ronald K. Pearson -- chapter 6 Crafting Data Stories / Ronald K. Pearson -- chapter 7 Programming in R / Ronald K. Pearson -- chapter 8 Working with Text Data / Ronald K. Pearson -- chapter 9 Exploratory Data Analysis: A Second Look / Ronald K. Pearson -- chapter 10 More General Predictive Models / Ronald K. Pearson -- chapter 11 Keeping It All Together / Ronald K. Pearson.
Summary
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to explore and explain data.
Subject(s)
Genre(s)
ISBN
9781498730242 (e-book)
Bibliography Note
Includes bibliographical references and index.
Other Forms
Also available in print format.
View MARC record | catkey: 24469279