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Data Analysis with R, Second Edition

You're reading from Data Analysis with R, Second Edition A comprehensive guide to manipulating, analyzing, and visualizing data in R

Product type Paperback

Published in Mar 2018

Publisher Packt

ISBN-13 9781788393720

Length 570 pages

Edition 2nd Edition

Languages

R

Tools

ggplot

Concepts

Data Analysis

Author (1):

Tony Fischetti

View More author details

Table of Contents (19) Chapters

Preface

1. RefresheR FREE CHAPTER

2. The Shape of Data

3. Describing Relationships

4. Probability

5. Using Data To Reason About The World

6. Testing Hypotheses

7. Bayesian Methods

8. The Bootstrap

9. Predicting Continuous Variables

10. Predicting Categorical Variables

11. Predicting Changes with Time

12. Sources of Data

13. Dealing with Missing Data

14. Dealing with Messy Data

15. Dealing with Large Data

16. Working with Popular R Packages

17. Reproducibility and Best Practices

18. Other Books You May Enjoy

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Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

R Data Analysis Cookbook - Second Edition
Kuntal Ganguly

ISBN: 9781787124479

Acquire, format and visualize your data using R
Using R to perform an Exploratory data analysis
Introduction to machine learning algorithms such as classification and regression
Get started with social network analysis
Generate dynamic reporting with Shiny
Get started with geospatial analysis
Handling large data with R using Spark and MongoDB
Build Recommendation system- Collaborative Filtering, Content based and Hybrid
Learn real world dataset examples- Fraud Detection and Image Recognition

R Data Analysis Projects
Gopi Subramanian

ISBN: 9781788621878

Build end-to-end predictive analytics systems in R
Build an experimental design to gather your own data and conduct analysis
Build a recommender...

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