Eventually turning these data graphs into a poster that I will have printed. First I must collect data (done!) then organize it (shit!) then graph it (fun!) and analyze it (shit!). This blog post is a stepping stone to the poster, I will be using Google's chart API while the poster will be designed in Illustrator, I just want a playground I can start playing with the data on.
Lets start with what I already have, the graphs I created for/on the website, that are created up to date every page load from the database. The following are saved images from 2010 only.
The most difficult graph to program:
(click for bigger)
This graph shows you that in 2010, I mostly watched movies from 2009. This is because I went through and tried to watch all of the best movies of 09 in 2010. Woohoo! OK, lets look at movies released in 2010 alone.
Home vs. In a theater for movies released in 2010

Home vs. In a theater for all movies watched in 2010
These results are exactly what is to be expected, so no real analysis here. Up next, Some high definition!
HD vs. SD
This graph ignores everything seen in theaters, only focusing on what is viewed at home. Blu-ray, or HD streaming is HD, and the rest is SD. Again, this data is pretty standard, although I am surprised that HD is as high as it is.

First Time Seen vs. Seen
This one I am surprised at, I did not know I watched so many movies before. I would have expected the seen before graph to be a mere sliver. But whatever.
And now my favorite, a graph of the medium of movies watched.
This is the home v. theater graph with home sections elaborated on. Netflix takes the cake, with over half of the movies I see coming from them alone. Amazon instant I use mostly for TV shows. TV or Tape is the expected minority, and I am surprised to see ‘owned or borrowed’ just barely beating out movies in a theater. I would have expected myself to have watched more of the DVD’s that I own.
This ends the graphs that I have already created, Now it is time to start playing with Google's chart API yet again, and get dirty in the numbers.
I will probably update this post, or create another when I make more graphs and get more data.