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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
Languages
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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

EDA – graphical analysis


"A picture is worth a thousand words."

Graphical analysis is quite popular, as it helps people grasp the content faster. The existence of so many dashboard tools in the market is also proof of this. With the recent innovation in the field of visualization, it is certainly one of the best mediums of communication.

In this section, let's explore a few graphical EDA. The graphical EDA techniques will help us get a more penetrative understanding of the data and also help in presenting complicated statistical analysis in a more understandable format. We will use some of the visualization packages in R that will help in making the output look better.

Which language is most popular among the active GitHub users?

We have the data at the repository level. Each repository is a project that could have been implemented in any language. Let's present the language data in a graphical format and understand the popularity. First, we will use the function table to see how many languages...

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