For my final, I worked with trying to refine my idea of visualizing campaign speech texts between Obama and Clinton. While this is somehow still a relevant idea, I came to some conclusions about datavis. It’s hard to just take a mass of data and just try to “visualize” it without an agenda about what you’re doing. It’s hard to rectify my idea of having a “painterly” kind of effect with really including a lot of information about the material.
in any case, having a third dimension to scroll through, while keeping the kind of effects i want may be a way of keeping the visualization painterly while not getting it too busy with pop-up tooltips and things like that.
here’s the code:
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Using the RiTa library, I decided to make mashups of 1960s political figures with hip hop stars. I hope I had some reason other than I thought it would be funny. I don’t think I did.
Usually the results aren’t that great, but sometimes, they’re amazing.
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My midterm for this class is a visualizer for words from speeches of Hillary Clinton and Barack Obama’s since September 2007. I grabbed all of the speeches in the timeframe from their websites, aggregated them into large text files, and ran a bayesian filter on them. This ranked the words in likeliness of association between Obama and Clinton. Using this relationship, I thought it could be interesting to plot the words and their “signatureness” to see what kinds of things would jump out as being more or less associated with the candidates. I made the size of the text proportional to the distance from the point where words were as likely to be used by one candidate or the other, and colored them in darkening shades of blue for Mr. Obama and red for Ms. Clinton. Here’s a picture of the visualization (cropped thumbnail, click for full size):
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I made a little visualizer for text, based heavily on the sample code from this week. This is a visualization of a campaign speech of Barack Obama’s where more frequently used words are larger and brighter. The words are arranged alphabetically from top to bottom.
code below the break.
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I wanted to make a program that takes a text, selects three words at random, and smashes them together into a longer word that I would arbitrarily call German. Because I wanted the terms to be german nouns, I stripped capitalization from each of the randomly selected words and capitalized the first letter of the concatenated word-string . This is the kind of thing that I think is funny. So the output is something like:
- Gettingakeeper
- Flickertowhich
- Danuberoundpattering
if I’m lucky, and stuff like:
if i’m not. I tried to make it a bit more interesting by using the Project Gutenberg book called “FAMOUS MODERN GHOST STORIES.” It spiced it up a bit. The class is below. (more…)
