Posted by Tom Moertel
Wed, 11 Jul 2007 17:49:00 GMT
Sam at rephase.net has harnessed the earth-shattering power of the IMDb movie-rating decoder ring to create a Greasmonkey script that annotates IMDb-listed movies with their percentile ranks. Now you don’t need to look up a movie’s “star rating” in the decoder ring to see where the movie ranks; the ranking appears right on the movie’s IMDb page.
Do check out the script itself to see how Sam cleverly embeds a copy of the decoder ring and plucks scores from it as needed.
For more on the IMDb movie-rating decoder ring, see:
Posted in hacks
Tags greasmonkey, imdb, statistics
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Posted by Tom Moertel
Thu, 21 Jun 2007 18:38:00 GMT
Last week I gave a talk on the R statistics
system and Perl for the Pittsburgh Perl
Mongers. The example that threaded through the
talk was something I have written about here before, extracting
useful information from the Internet Movie
Database.
If you’ve read my earlier blog
post
or have used the Grand Unified IMDB Movie Rating Decoder
Ring,
you might find the slides from the talk interesting. They provide
some more details about the R and Perl code used to analyze the IMDB data
and create the decoder ring.
You can get the slides here:
Posted in talks
Tags imdb, perl, R, statistics, talks
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Posted by Tom Moertel
Fri, 09 Mar 2007 22:40:00 GMT
If you want to get more out of IMDB movie ratings, check out my
IMDB Movie Rating Decoder Ring, now updated with fresher data (as of 2 March 2007).
Posted in statistics
Tags data, decoder_rinng, imdb, movies, ratings, stars, statistics
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Posted by Tom Moertel
Wed, 18 Jan 2006 01:59:00 GMT
The Internet Movie Database (IMDb) is a rich source
of online movie information. The problem is, the true gold is buried
deep beneath the site’s user-friendly exterior and hidden within the
database itself. With a little digging, however, we can extract the
gold, nugget by nugget, and learn about fun statistical tools for data
analysis.
Today, in the first part of our analysis, we will put our intuition
about rating systems to the test. We will decode IMDb “user ratings,”
those numbers such as 6.1 and 7.8 that summarize how the registered
users of the IMDb rated movies on a scale from 1 to 10, typically
depicted as a series of stars on the screen:
We will extract the collective wisdom of registered IMDb users in
order to convert a movie’s user rating into the movie’s standing
within the database. This gives us a good indicator of how the movie
stacks up against other movies in general, and that’s good information
to have when deciding which movies to see in the theater or add to
your Netflix list.
Ready to start digging? Let’s go!
Read more...
Posted in movies, statistics
Tags imdb, movies, R, statistics
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