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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 FREE CHAPTER
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

Reading in JSON data with the jsonlite R package

jsonlite is a JSON data parser for R. It makes reading data from JSON sources really easy and efficient.

Loading the jsonlite package

The following command is executed to include the jsonlite package in the R workspace:

library(jsonlite)

Data processing or parsing is done through a process called simplification. This is where JSON arrays are converted from a list into a more specific R class. Basically, with a simplification process, the arrays are broken down into values that can be easily understood. There are three different options that can be passed as arguments to the fromJSON function:

  • simplifyVector: This option is used to convert arrays into a vector format
  • simplifyDataFrame...
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