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Hands-On Exploratory Data Analysis with R

You're reading from Hands-On Exploratory Data Analysis with R

Product type Book

Published in May 2019

Publisher Packt

ISBN-13 9781789804379

Pages 266 pages

Edition 1st Edition

Languages

Concepts

Authors (2):

Radhika Datar

Harish Garg

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Table of Contents (17) Chapters

Preface

1. Section 1: Setting Up Data Analysis Environment

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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Technical requirements

You should have hands-on experience or knowledge of the following points before getting started with this chapter:

R programming language
RStudio
R packages (including readr, readxl, jsonlite, httr, rvest, DBI, dplyr, stringr, forcats, lubridate, hms, blob, ggplot2, and knitr)

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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.

See other products by Radhika Datar

Harish Garg

Harish Garg is a Principal Software Developer, author, and co-founder of a software development and training company, Bignumworks. Harish has more than 19 years of experience in a wide variety of technologies, including blockchain, data science and enterprise software. During this time, he has worked for companies such as McAfee, Intel, etc.

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