<P>Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" β good, bad, and ugly β features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to
Exploratory Data Analysis using R
β Scribed by Ronald K. Pearson
- Publisher
- CRC
- Year
- 2018
- Tongue
- English
- Leaves
- 557
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
"This textbook will introduce exploratory data analysis (EDA) and will cover the range of interesting features we can expect to find in data. The book will also explore the practical mechanics of using R to do EDA. Based on the author's course at the University of Connecticut, the book assumes no pr
<p><span>Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills</span></p><h4><span>Key Features</span></h4><ul><li><span><span>Speed up your data analysis projects using powerful R packages and techniques </span></span></li><li><span><span>Create m
<p>In September 1977 a "Regional Science Symposium" was held at the Faculty of Economics of the University of Goningen in the Netherlands. The impetus in organizing this symposium was the recent estabΒ lishmen t at the F acuIty of Economics of a group engaged in teaching and research within the fiel
Version: 2015-06-23 80% complete https://leanpub.com/exdata This book covers some of the basics of visualizing data in R and summarizing highdimensional data with statistical multivariate analysis techniques. There is less of an emphasis on formal statistical inference methods, as inference i