|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.
Author: Ronald K. Pearson
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