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Hands-On Exploratory Data Analysis with R

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

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789804379
Length 266 pages
Edition 1st Edition
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Authors (2):
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Radhika Datar Radhika Datar
Author Profile Icon Radhika Datar
Radhika Datar
Harish Garg Harish Garg
Author Profile Icon Harish Garg
Harish Garg
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Setting Up Data Analysis Environment
2. Setting Up Our Data Analysis Environment FREE CHAPTER 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

Introducing and reading the dataset

This dataset is provided in the StatLib library, predicting the mpg attribute where eight of the original instances were removed because they had unknown values for the mpg attribute. The original dataset is available in the auto-mpg.data-original file on the UCI website and you can refer to it using the following link: https://archive.ics.uci.edu/ml/datasets/auto+mpg.

We will be using data available at the following link: https://github.com/PacktPublishing/Hands-On-Exploratory-Data-Analysis-with-R/tree/master/ch09.

As mentioned on their website, The data concerns city-cycle fuel consumption in miles per gallon, to be predicted in terms of three multivalued discrete, and five continuous, attributes.

This section is all about understanding the dataset and its attributes. We will carry out the following steps as we did in the previous chapters...

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