Exploratory Data Analysis Using R (CRC Press)
Thursday, 06 September 2018

This book 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. Author Ronald K. Pearson also introduces the mechanics of using R to explore and explain data. Alongside a detailed overview of data, exploratory analysis, and R, the book also covers graphics in R., working with external data, linear regression models, and crafting data stories. The second part of the book focuses on developing R programs, including good programming practices and examples, working with text data, and general predictive models. 

<ASIN:149873023X>

 

Author: Ronald K. Pearson
Publisher: Chapman & Hall
Date: Sept 2018
Pages: 562
ISBN: 978-1498730235
Print: 149873023X
Kindle: B07CYQ7LQM
Audience: Developers working with data
Level: Intermediate
Category: Data Science

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For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

 

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Publisher: O'Reilly, 2010
Pages: 592
ISBN: 978-1449381875
Print: 1449381871
Kindle: B0046RERYI
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Rating: 4
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Publisher: O'Reilly
Pages: 282
ISBN: 978-1491952276
Print: 149195227X
Kindle: B01N7RBP4P
Audience: Team Leaders
Rating: 4
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