Exploratory data analysis using R / by Ronald K. Pearson.

Pearson, Ronald K., 1952-
Call Number
006.3/12
Author
Pearson, Ronald K., 1952- author.
Title
Exploratory data analysis using R / by Ronald K. Pearson.
Physical Description
1 online resource (562 pages) : 147 illustrations.
Series
Chapman & Hall/CRCdata mining and knowledge discovery series
Contents
chapter 1 Data, Exploratory Analysis, and R / chapter 2 Graphics in R / chapter 3 Exploratory Data Analysis: A First Look / chapter 4 Working with External Data / chapter 5 Linear Regression Models / chapter 6 Crafting Data Stories / chapter 7 Programming in R / chapter 8 Working with Text Data / chapter 9 Exploratory Data Analysis: A Second Look / chapter 10 More General Predictive Models / chapter 11 Keeping It All Together /
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.
Added Author
Taylor and Francis.
Subject
COMPUTERS / Database Management / Data Mining.
MATHEMATICS / Probability & Statistics / General.
Data mining Computer programs.
R (Computer program language)
Multimedia
Total Ratings: 0
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No Reviews to Display
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.
Contents
chapter 1 Data, Exploratory Analysis, and R / chapter 2 Graphics in R / chapter 3 Exploratory Data Analysis: A First Look / chapter 4 Working with External Data / chapter 5 Linear Regression Models / chapter 6 Crafting Data Stories / chapter 7 Programming in R / chapter 8 Working with Text Data / chapter 9 Exploratory Data Analysis: A Second Look / chapter 10 More General Predictive Models / chapter 11 Keeping It All Together /
Subject
COMPUTERS / Database Management / Data Mining.
MATHEMATICS / Probability & Statistics / General.
Data mining Computer programs.
R (Computer program language)
Multimedia