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|+Data Analysis for the #takemymoneyHBO trend on Twitter|
|+I was curious about what the average amount of money|
|+people would be willing to pay for a standalone|
|+HBOGO streaming service, so I wrote two small Python|
|+scripts that use the Twitter search API to retrieve|
|+the 1500 most recent tweets, store them in a Python|
|+shelf, and then analyse them to determine the average|
|+There are limitations to this approach, since there are|
|+certainly more than 1500 tweets with this hashtag. I|
|+made the following decisions about how I handled the data:|
|+* RTs were ignored, because I'm interested in each person's|
|+ personal opinion.|
|+* I looked for the phrase 'pay $' in the tweet, and extracted|
|+ the number following the '$'. If there was no number following,|
|+ the tweet was ignored (e.g. some people tweeted statements|
|+ like 'I would pay $$$'.|
|+* Money amounts >$50 were ignore, since some people tweeted|
|+ statements like 'I would pay $1000000'.|
|+Currently the script only returns the average amount and the|
|+number of data points available of the 1500 downloaded (after|
|+RTs, etc are removed).|
|+Wednesday 5:10AM GMT/UTC +0:00 - $12.06, from 1063 data points.|
|+These (very simple) scripts are released under the CC-BY license,|
|+so download them, run them yourself, and modify them to extract|
|+more interesting data - e.g. draw graphs.|