Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Data Analysis with R, Second Edition - Second Edition

You're reading from  Data Analysis with R, Second Edition - Second Edition

Product type Book
Published in Mar 2018
Publisher Packt
ISBN-13 9781788393720
Pages 570 pages
Edition 2nd Edition
Languages

Table of Contents (24) Chapters

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
RefresheR The Shape of Data Describing Relationships Probability Using Data To Reason About The World Testing Hypotheses Bayesian Methods The Bootstrap Predicting Continuous Variables Predicting Categorical Variables Predicting Changes with Time Sources of Data Dealing with Missing Data Dealing with Messy Data Dealing with Large Data Working with Popular R Packages Reproducibility and Best Practices Other Books You May Enjoy Index

Using JSON


Javascript Object Notation (JSON) is a standardized human-readable data format that plays an enormous role in communication between web browsers and web servers. JSON was originally borne out of a need to represent arbitrarily complex data structures in Javascript, a web scripting language, but it has since grown into a language agnostic data serialization format.

It is a common need to import and parse JSON in R, particularly when working with web data. For example, it is very common for websites to offer web services that take an arbitrary query from a web browser, and return the response as JSON. We will look at an example of this very use case later in this section.

For our first look into JSON parsing for R, we'll use the jsonlite package to read a small JSON string, which serializes some information about the best musical act in history, The Beatles:

library(jsonlite) 
 
example.json <- ' 
{ 
  "thebeatles": { 
    "formed": 1960, 
    "members": [ 
      { 
        "firstname...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}