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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

Exporting and customizing reports

We will now focus on customizing the reports with export functionality in the required format. The best illustration of the export format can be considered using the PDF format. We will carry out the following steps to create the export in PDF format:

  1. Create a Markdown document with a default output format in PDF, as shown in the following screenshot:
  1. The Markdown is created with the required attributes of title, author, the output format, and the date format, as follows:
  1. We can implement the same functions that were used in the previous example, while creating the required HTML documents, that is, fetching the summary of data and plotting the attributes, which is considered as a scatter plot:
> summary(Autompg)
mpg cylinders displacement horsepower weight acceleration
Min. : 9.00 Min. :3.000 Min. : 68.0 150 : 22 Min. :1613 Min. :...
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