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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
Authors (2):
Radhika Datar Radhika Datar
Profile icon Radhika Datar
Harish Garg Harish Garg
Profile icon Harish Garg
View More author details

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

Understanding the structure of the data

Now, let's understand the underlying structure of the data using the following steps. This may involve certain type conversions, which are mentioned as follows:

  1. Check the summary of the dataset created:
> summary(bank)

age job marital education default

Min. :18.00 Length:11162 Length:11162 Length:11162 Length:11162

1st Qu.:32.00 Class :character Class :character Class :character Class :character

Median :39.00 Mode :character Mode :character Mode :character Mode :character

Mean :41.23

3rd Qu.:49.00

Max. :95.00

balance housing loan contact day

Length:11162 Length:11162 Length:11162 Length:11162 Min. : 1.00

Class :character Class :character Class :character Class :character 1st Qu.: 8.00

Mode :character Mode :character Mode :character Mode :character Median :15.00

Mean :15.66

3rd Qu.:22.00

Max. :31.00

...
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