Exploratory data analysis using R

✍ Scribed by Pearson, Ronald K

Publisher: CRC Press/Taylor & Francis Group
Year: 2018
Tongue: English
Leaves: 563
Series: Chapman & Hall/CRC data mining and knowledge discovery 45
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

"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 prior exposure to data analysis or programming, and is designed to be as non-mathematical as possible. Exercises are Read more...

Abstract:

"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc." Read more...

✦ Table of Contents

Content: 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.

✦ Subjects

Data mining -- Computer programs;R (Computer program language);COMPUTERS / General;Data mining;Electronic data processing -- Data preparation;Mathematical statistics -- Data processing

📜 SIMILAR VOLUMES

Exploratory Data Analysis Using R

📁 Exploratory Data Analysis Using R

✍ Ronald K. Pearson 📂 Library 📅 2018 🏛 Chapman and Hall/CRC 🌐 English

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

Exploratory Data Analysis using R

📁 Exploratory Data Analysis using R

✍ Ronald K. Pearson 📂 Library 📅 2018 🏛 CRC 🌐 English

Hands-On Exploratory Data Analysis with

📁 Hands-On Exploratory Data Analysis with R: Become an expert in exploratory data analysis using R packages

✍ Radhika Datar, Harish Garg 📂 Library 📅 2019 🏛 Packt Publishing 🌐 English

Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills<h4>Key Features</h4><ul><li>Speed up your data analysis projects using powerful R packages and techniques </li><li>Create m

Exploratory Data Analysis Using R (Ins

📁 Exploratory Data Analysis Using R (Instructor Solution Manual, Solutions)

✍ Ronald K. Pearson 📂 Library 📅 2018 🏛 Chapman and Hall/CRC 🌐 English

Exploratory and explanatory statistical

📁 Exploratory and explanatory statistical analysis of spatial data

✍ Cornelis P. A. Bartels, Ronald H. Ketellapper (auth.), Cornelis P. A. Bartels, R 📂 Library 📅 1979 🏛 Springer Netherlands 🌐 English

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 estab lishmen t at the F acuIty of Economics of a group engaged in teaching and research within the fiel

Exploratory Data Analysis with R

📁 Exploratory Data Analysis with R

✍ Roger D Peng 📂 Library 📅 2015 🏛 Leanpub 🌐 English

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