When comparing our graphs as a group we were able to see how our data stood amongst other topics of interest. By placing these under comparison we w
Final Lab
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Lab 6: #Syria
The graphs within our group revealed that our topics were more related and similar than first anticipated. Obiously #Syria, #ISIS and #Muslimban are g
Lab 6–Wrap Up of LGBT
Lab 2- Mapping illustrated how large cities within the United States are most active on twitter. We all had tweets focused in the United States. This
Presentation on #climatechange
Among the Environment Group, there were some interesting observations we discovered. Our clouds were similar, except for #energy, which seemed to have
Lab 5 Tweets per Day + Popularity
The three teams I examined for the final lab were the East Coast teams I have been studying, including the Yankees, Red Sox, and Orioles. The first as
Using Descriptive Statistics to Analyze #ISIS
After analyzing my data set, I found that I had a total of 34 different languages. These languages consisted of: Ar, bg, ca, cs, da, de, el, en, en-gb
Lab 5 #energy
List of Languages: 26 different languages Arabic, Bulgarian, French Canadian, Danish, German, Greek, English, English Great Britain, English Austra
Lab 5 – an Excel Felina to #standingrock
Pie Graphin' I count 16 different languages - da, de, en, en-GB (which is totally a different language if it's cockney), es, fr, hu, id, it, ja, ko
Day-to-Day Data
I chose the most recent 3000 tweets since there has been a lot going on in the realm of keystone XL advancement in the past week or so and I am intere
Lab 5
Out of 4784 tweets, 4698 or 97.9% are English. Users tweeted in the following 7 languages: de (German), en (English), en-gb (United Kingdom English),