The dates, time lengths, and URLs were automatically recognized as entities, which saved me quite a bit of programming time. Mathematica is built on unprecedentedly powerful algorithms across all domains many of them were created by Wolfram using unique development methods and unique capabilities of the Wolfram Language. Using SemanticImport, this process was relatively simple. I've linked the CSV file here as well as in the Mathematica notebook, so you can avoid the same hassle! I also had to hand paste all of the URLs to the SOTU addresses I found on Wikipedia as well as the time length of the spoken speeches. Revolving door were selected for inclusion in the main survey test. However, with dates outside the normal date range, I had to be careful that none of these were converted into invalid dates. Sauce, Ferris wheel, Climbing Mount Fuji, Helen the cyclist, Which car, Garage, and. I was able to copy most of this information as plain text into an Excel document. With all the data from the UCSB site, I was well on my way to doing something interesting.
Mathematica made it easy to compare and contrast the State of the Union addresses given by each president.Ĭreating a CSV file of all the relevant data
When I heard the State of the Union was coming up, I knew it was going to call for a Mathematica data deep dive! With the help of the data from this site and some archived Wikipedia data, I was able to do just that.
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