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I just want to say that I have really enjoyed this series of posts. My concern with this kind of analysis is more ontological (?), I guess.
While IMDB data is easy to understand, and it's interesting to see patterns in ratings, technically, this isn't "movie data." It's opinion data. It's even worse with Rotten Tomatoes or Metacritic data, because their aggregation and scoring algorithms move them farther from the source: actual movies.
All movie analyses that use crowdrourced rating data are resting on the flawed assumption that such ratings have some inherent, meaningful relationship to movie quality.
February talks, and exploratory data analysis using visuals
News: In February, I am bringing my dataviz lecture to various cities: Atlanta (Feb 7), Austin (Feb 15), and Copenhagen (Feb 28). Click on the links for free registration. I hope to meet some of you there. *** On the sister blog about predictive models and Big Data, I have been discussing aspect...
Not familiar with this specific data, but a few years ago, the AP had a similar Economic Stress Index based on Unemployment, Bankruptcy, & Foreclosure.
Could it be that these large distressed cities tend to be surrounded by smaller towns that are doing much better, thus lowering the distress level at the county level?
A puzzle brought to you by the NY Times
Here is a map that attracted my attention on the NY Times (link): The counties are given shades of blue with darker shades meaning more economic distress. According to the label (Newark), the 10 red dots are the top 10 most distressed large cities in the U.S. It appears that almost all of thes...
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Feb 26, 2016
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