These pages were born out of a madcap idea centred on my current favourite show – Game of Thrones. Knowing what was to come in the last three episodes of Season 04 (period covering June 01 2014 to June 21 2014), I figured let’s collect tweets and analyse them. Social Media analysis is always fun right?
While this was a good idea, it unfortunately came to me a bit late in the day (just 05 days before the show resumed after the Memorial Day weekend). So I had less than a week to learn how to use the Twitter Streaming API to collect the data. Once that difficult part was done, I spent the better part of the last month preparing and presenting the data. The net result has been this presentation, that I hope was interesting for both the fans and technology enthusiasts alike. For a more detailed look at the story behind the data visualizations do take a look at my blog.
The following technologies/ data were used for generating and presenting this analysis:
Data collection was run on an Amazon AWS EC2 micro instance and analysis was done on a humble desktop running Ubuntu Precise Pangolin
The visualizations used to present the data have been based (wherever possible)on D3.js code. There are also some pieces of code that have been reverse engineered from what is available on the D3.js examples page. This listing is an attempt to give credit where due.