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R Data Analysis Cookbook - Second Edition

You're reading from  R Data Analysis Cookbook - Second Edition

Product type Book
Published in Sep 2017
Publisher Packt
ISBN-13 9781787124479
Pages 560 pages
Edition 2nd Edition
Languages
Authors (3):
Kuntal Ganguly Kuntal Ganguly
Profile icon Kuntal Ganguly
Shanthi Viswanathan Shanthi Viswanathan
Profile icon Shanthi Viswanathan
Viswa Viswanathan Viswa Viswanathan
Profile icon Viswa Viswanathan
View More author details
Toc

Table of Contents (14) Chapters close

Preface 1. Acquire and Prepare the Ingredients - Your Data 2. What's in There - Exploratory Data Analysis 3. Where Does It Belong? Classification 4. Give Me a Number - Regression 5. Can you Simplify That? Data Reduction Techniques 6. Lessons from History - Time Series Analysis 7. How does it look? - Advanced data visualization 8. This may also interest you - Building Recommendations 9. It's All About Your Connections - Social Network Analysis 10. Put Your Best Foot Forward - Document and Present Your Analysis 11. Work Smarter, Not Harder - Efficient and Elegant R Code 12. Where in the World? Geospatial Analysis 13. Playing Nice - Connecting to Other Systems

Downloading social network data using public APIs

Social networking websites provide public APIs to enable us to download their data. In this recipe, we cover the process of downloading data from Meetup.com using their public API. You can adapt this basic approach to download data from other websites. In this recipe, we get the data in JSON format and then import it to an R data frame.

Getting ready

In this recipe, you will download data from Meetup.com. To gain access to the data, you need to be a member:

  • If you do not have an account in http://www.meetup.com, sign up and become a member of a couple of groups.
  • You need your own API key to download data through scripts. Get your own by clicking on the API Key link on http...
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