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Mastering Social Media Mining with R

You're reading from   Mastering Social Media Mining with R Extract valuable data from your social media sites and make better business decisions using R

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781784396312
Length 248 pages
Edition 1st Edition
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Concepts
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Toc

Table of Contents (8) Chapters Close

Preface 1. Fundamentals of Mining 2. Mining Opinions, Exploring Trends, and More with Twitter FREE CHAPTER 3. Find Friends on Facebook 4. Finding Popular Photos on Instagram 5. Let's Build Software with GitHub 6. More Social Media Websites Index

Accessing GitHub data from R


Accessing the GitHub data from R is simple. It can be accessed using the package rgithub developed by Carlos Scheidegger, which provides the binding for the GitHub web services API. We can also use the API URL directly in the function fromJSON, which will extract the JSON data in data frame format.

Previously, we saw how to authenticate using the package rgithub; now let's use some of the functions available in the package to pull data from GitHub.

First, let's pull our GitHub account data using the function get.myself and pass the variable ctx as a parameter, which is a GitHub context object holding the authentication results. This function will provide basic details about our account such as date created, last updated, location, e-mail, number of public repositories contributed, following and followers, and also about the number of API calls we have made in the current session. Let's execute the function get.myself and check the output.

get.myself(ctx)

We get the...

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