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You're reading from Hands-On Exploratory Data Analysis with R Become an expert in exploratory data analysis using R packages

Product type Paperback

Published in May 2019

Publisher Packt

ISBN-13 9781789804379

Length 266 pages

Edition 1st Edition

Languages

Tools

ggplot

Concepts

Data Analysis

Authors (2):

Radhika Datar

Harish Garg

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Table of Contents (17) Chapters

Preface

1. Section 1: Setting Up Data Analysis Environment FREE CHAPTER

2. Setting Up Our Data Analysis Environment

3. Importing Diverse Datasets

4. Examining, Cleaning, and Filtering

5. Visualizing Data Graphically with ggplot2

6. Creating Aesthetically Pleasing Reports with knitr and R Markdown

7. Section 2: Univariate, Time Series, and Multivariate Data

8. Univariate and Control Datasets

9. Time Series Datasets

10. Multivariate Datasets

11. Section 3: Multifactor, Optimization, and Regression Data Problems

12. Multi-Factor Datasets

13. Handling Optimization and Regression Data Problems

14. Section 4: Conclusions

15. Next Steps

16. Other Books You May Enjoy

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Visualizing Data Graphically with ggplot2

This chapter will demonstrate how to draw different kinds of plots and charts, such as scatter plots, histograms, probability plots, residual plots, box plots, and block plots. We will cover various concepts throughout this chapter, including when we should use different kinds of plots. The code examples in this chapter will utilize the popular R package – ggplot2. We will introduce ggplot2 visualization grammar and learn how to apply it to real-world datasets. We will also demonstrate the examples in this chapter using the iris dataset.

The following topics will be covered in this chapter:

Advanced graphics grammar of ggplot2 for data visualization
Drawing and customizing scatter plots
When to use histogram plots and how to draw and customize them
Visualizing probability plots
Drawing and customizing residual plots
Making box...

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Authors (2)

Radhika Datar

Radhika Datar has more than 5 years' experience in software development and content writing. She is well versed in frameworks such as Python, PHP, and Java, and regularly provides training on them. She has been working with Educba and Eduonix as a training consultant since June 2016, while also working as a freelance academic writer in data science and data analytics. She obtained her master's degree from the Symbiosis Institute of Computer Studies and Research and her bachelor's degree from K. J. Somaiya College of Science and Commerce.

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Harish Garg

BignumWorks Software LLP is an India-based software consultancy that provides consultancy services in the area of software development and technical training. Our domain expertise includes web, mobile, cloud app development, data science projects, in-house software training services, and up-skilling services

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