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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

2. The Shape of Data FREE CHAPTER

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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Describing Relationships

Is there a relationship between smoking and lung cancer? Do people who care for dogs live longer? Is your university's admissions department sexist?

Tackling these exciting questions is only possible when we take a step beyond simply describing univariate datasets—one step beyond!

We will be covering the following topics in this chapter:

Multivariate data
Relationships between a categorical and continuous variable
Relationships between two categorical variables
Visualization methods

The rest of the chapter is locked

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