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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

Reading the dataset

In this chapter, we will focus on a dataset that includes classic marketing data from a bank dataset that is available on the UCI Machine Learning Repository. This dataset includes complete information regarding a marketing campaign undertaken by a financial institution that assists in analyzing future strategies with a view to improving future marketing campaigns for the bank. We can access the dataset using the following link:

https://github.com/PacktPublishing/Hands-On-Exploratory-Data-Analysis-with-R/tree/master/ch06

For more information on the dataset, you can access the following link:

https://archive.ics.uci.edu/ml/datasets/bank+marketing

Now, we will introduce this dataset within the R workspace for further manipulation and implementation. The following steps are required to introduce and read the dataset:

  1. Include the requisite libraries for converting...
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