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Repository for our presentation on SparkClouds. Aayam Poudel and Jamie Hand Our process: 1. Got text of State of the Union addresses from 2001 to 2016 and put them into .txt files. 2. Wrote a python script to strip new lines and punctuation, extract each word (excluding stop words like "the", "a", "I", and "will"), count how many times it appears, and put them in a list in order of their frequency. 3. Output these words, counts, and years to a CSV file, and combined the CSV files into a single file. 4. Wrote an HTML page with a demo, showing a SparkCloud that takes in the CSV as data. TODO: - Each sparkline should have its own domain and range.