Archive for October, 2008

Step 2: Still Frames of Movie Data Visualization

More progress on the movie visualization project, here are some still frames from the “Movie Galaxy” graph. Read the key at the bottom for explanation.

Actors:

Directors:

Writers:

These “galaxies” chart a number of statistics for each of the most prolific Actors, Writers, and Directors in Hollywood.

  • Size of the Cube = Number of Film’s Where the person has had a pivotal role (director/writer/main actor) Samuel L. Jackson and Robert DeNiro are both Hulking Giants, with ~40 movies under their belts
  • Color of the Cube = Monetization value of the person (the greener the cube, the more green their movies make on average) Look at how Green Sam Raimi is in the directors image, thats cause Spideyman makes the big bucks
  • Height of the Cube = Average Critic’s score of all movies this person has been credited with. Phillip Seymour Hoffman is practically in the stratosphere compared to other actors.
  • Distance of Cube from central Axis = This is a tough one, Amount of disagreement between Critics and casual reviewers. Critics seem to hate Christopher Walken’s movies, but the people give him love, thats why he’s so far towards the edge.
  • Length and Direction of Arrow = Direction and amount of disagreement between critics and casual reviewers. Usually casual reviewers are nicer, but that niceness cant overpower critics’ love for Richard Linklater, of ‘Waking Life’ Fame.

Stay tuned… More (including interactive graphs!!) to come soon.

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Coming Soon at Google: Conflicts of Interest

Google is going to have some major conflicts of interest pretty soon. They recently released a new web browser, Google Chrome, and will soon have to decide between doing no evil, and losing major profits

Chrome is open-source, just like Firefox, meaning that anyone can see exactly how it works, and anyone will soon be able to create add-ons for Chrome to make it better.  Thats when Google will have to make a big decision:

What will Google do when someone creates an Add-On for Chrome that removes Ads?

 Google makes ALL of its quarterly net income of $1.3 billion on Ads in Search Result pages, and more and more on Ads on webpages all over the web.    Currently, one of the coolest extensions for Firefox is AdBlock Plus, is assuredly putting a dent in Google’s numbers.  This amazing little add-on instantly removes all those annoying ads from webpages, resulting in quicker load times, and literally zero distracting banner ads.  This is the third most popular add-on for Firefox, and it had been downloaded 27,452,360 times at the time of this posting!!  Imagine all the people not clicking on Google Ads thanks to this Add-On.

Google has recently made changes to Youtube, Google Maps,  iGoogle, and AdSense that all attempt to serve more Ads, and squeeze more money out of each of their properties.  So what will Google do when someone creates an Add-On that makes all of Google’s revenue sources literally disappear for a User!?

As a side note, it would be interesting to know how much Google loses each year thanks to AdBlock Plus, it has to be more than the $110 Million that it loses yearly thanks to the “I’m Feeling Lucky” button on its homepage, as Valleywag reported last year.

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Yelp London, Yelp Paris, Yelp UK Where are You?!

 

When will Yelp expand into Paris and London? How complicated can that be? Yelp London and Yelp Paris need to happen pronto. If you look at the Quantcast demographics for Yelp, its exactly the group of people that would be most likely to travel to Europe, research their trip online, and use internet reviews for hotel, restaurant, and nightlife recommendations once they arrive as well.

Quantcast – Yelp Demographics

 

A Yelp London could easily get a nice kickstart from its growing, supremely loyal, US user base.

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Beginnings of a new Project: Movie Data Analysis


Recently I have been working on a fun personal project.  I am gathering an incredible amount of data on Movies, especially relating to how they are reviewed by Critics, how they are reviewed by Users, and how well they end up doing, among other things.

I just finished gathering a huge amount of data around ~4500 mainstream movies, and already am having some fun with it.

For Example: Guess which actor has appeared in at least 5 movies that average a whopping 87.4 out of 100 in all reviews by all newspapers and publications?

This Guy:

John Ratzenberger

John Ratzenberger

From Wikipedia:

He is perhaps best known for his role as Clifford C. ‘Cliff’ Clavin, Jr. in the classic sitcom Cheers (1982) and appearing in all Pixar feature length films.

And even more interestingly:

All of Pixar’s feature films include Ratzenberger, who has become something of a “good luck charm” to the studio (and, according to Andrew Stanton, Pixar actually has a rule stating that Ratzenberger must be in all Pixar films).

Pixar got that right, this guy’s movies average a whopping 32.4 points above the global average.

Guess who the next highest reviewed Actor is? Here is a hint: He was a long time friend of Al Pacino, and only starred in 5 Feature Films.

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Bus Stop Logic Question

Here’s a semi-interesting logic question for ya:

Every evening after work, I cross the street from my building, go into the Westlake Mall in Seattle, (that place is a freakshow, by the way,) and enter the Seattle Bus tunnel through the basement floor of the mall. After walking through a couple long halls, I ascend a stair case and voila, I am at my bus stop.

First, some details:

  1. My bus comes every ten minutes, but there are no set times for when it gets to my platform.
  2. I can’t see whether or not my bus is coming until I am at the platform (this will be important later)

Here’s the Question:

Will running to the bus stop increase, decrease, or not change my average wait time?

Think about it for a second…

I would say running will not change my average wait time.  It would seem to some that running would reduce the chance of just missing a bus, but I disagree.  While running to the bus stop may result in a more toned lower-body, wait times will remain the same.  Because, all I am doing is changing the time I show up at the stop. When the bus arrives is still completely unknown.

Obviously, I have a long bus ride.

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