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R for Data Science

You're reading from R for Data Science Learn and explore the fundamentals of data science with R

Product type Paperback

Published in Dec 2014

Publisher

ISBN-13 9781784390860

Length 364 pages

Edition 1st Edition

Languages

R

Concepts

Data Science

Author (1):

Toomey

View More author details

Table of Contents (19) Chapters

R for Data Science

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. Data Mining Patterns

2. Data Mining Sequences FREE CHAPTER

3. Text Mining

4. Data Analysis – Regression Analysis

5. Data Analysis – Correlation

6. Data Analysis – Clustering

7. Data Visualization – R Graphics

8. Data Visualization – Plotting

9. Data Visualization – 3D

10. Machine Learning in Action

11. Predicting Events with Machine Learning

12. Supervised and Unsupervised Learning

Index

Packages

In R, there are several packages available that provide 3D plotting for the programmer. We will use the following packages in the examples:

car: This stands for Companion to Applied Regression
copula: This has multivariate dependence with copulas
lattice: This has a high-level data visualization system, especially for multivariate data
rgl: This provides 3D visualization using OpenGL
vrmlgen: This provides 3D visualization
Rcpp: This gives C++ integration with R
swirl: This provides R training in R

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Authors (1)

Toomey

Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.

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