R for Data Science

Book Image

R for Data Science

By : Dan Toomey

Book Image

R for Data Science

By: Dan Toomey

Overview of this book

R for Data Science

R for Data Science

Credits

About the Author

About the Author

About the Reviewers

About the Reviewers

www.PacktPub.com

www.PacktPub.com

Preface

Free Chapter

Data Mining Patterns

Data Mining Patterns

Cluster analysis

Anomaly detection

Association rules

Data Mining Sequences

Data Mining Sequences

Text Mining

Data Analysis – Regression Analysis

Data Analysis – Regression Analysis

Data Analysis – Correlation

Data Analysis – Correlation

Data Analysis – Clustering

Data Analysis – Clustering

K-means clustering

Data Visualization – R Graphics

Data Visualization – R Graphics

Data Visualization – Plotting

Data Visualization – Plotting

Bar charts and plots

Data Visualization – 3D

Data Visualization – 3D

Generating 3D graphics

Machine Learning in Action

Machine Learning in Action

Predicting Events with Machine Learning

Predicting Events with Machine Learning

Automatic forecasting packages

Supervised and Unsupervised Learning

Supervised and Unsupervised Learning

Index

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Questions

Factual

Do you have data that can be displayed using the persp function (x and y increasing over the range of your dataset)?
Don't you wish you knew about swirl when you first started getting into R?

When, how, and why?

Determine how to adjust the viewing angle for the 3D maps.
Sign up for an Amazon AWS free trial to use the Big Data aspects.
Get access to a multiprocessor machine and try out the parallel packages.

Challenges

Find an observed dataset that can be displayed using the persp function.
What geographic data can you think of that'd be better displayed using a 3D graphic map?