The first graphs we looked at were the maps which showed the mapped tweets. When comparing my maps to Will’s and Jordan’s, we realized that none o
#woke Final Presentation Slides & Video
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Author: mmaccaro
Stay #woke with Stats
After highlighting the "user_lang" column, I found there to be 27 different languages in my data set. The languages included ar, ca, cs, cy, da, de, e
Gephi stays #woke
I chose to make a subset of 3000 points of data from the time between February 13-15. Because of the size of my data sets, I wanted to use a time fra
Analyzing Text Through #woke
In my analysis, I expect to see topics like Donald Trump, Black Lives Matter, and gender equality to pop up. I chose to show 55 terms in my cirrus
Where Are People #woke?
I expect to see most of the tweets in my data set coming from the United States. Not only is #woke a term that Americans have created/adopted, but i
Collecting #woke
While reading different tweets from each of the examples of hashtags given to us, I found #woke to be one of the more interesting ones. It is a slan