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Project Overview

This project aims to analyze the popularity of South Park episodes by retrieving IMDB data for Season 17, including episode ratings and votes. We will also gather Twitter statuses to examine retweets and favorites for episode promotion. By joining these datasets based on episode titles, we will explore which social networks correlate most strongly with episode ratings. Future steps involve conducting A-B tests for causality, integrating additional social media data, and expanding the analysis to include other shows.

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Project Overview

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  1. South Park Episode Popularity Analysis Jiten Pai jitenpai@gmail.com Project Overview

  2. High Level Steps • Retrieve IMDB Data (Season 17 Episodes) • Episode Rating • # of Votes • Retrieve Twitter Statuses (@SouthPark) • # of Retweets • # of Favorites • Join Data Sets on Episode Title

  3. demo

  4. What next? • Add Other Social Network Data Sets (Facebook, Google+, etc) • Network with strongest correlation to rating • A-B Test to establish causality • Add TV Re-Air Dates, Social Network Activity • Hashtags • Retweets • Expand to Other Shows • # of Retweets • # of Favorites • Find Most Valuable Social Network Users

  5. Questions?

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