Category: Lab 6: Presentation Outline & Summary 2017

The graphs from the labs each have their own place of importance. Together, they show everything about the conversation regarding #alternativefacts. I

When comparing all the graphs as a group, you realize that each graph tells its own story! For example the map reveals where people are tweeting about

Our clouds were similar except for mine because I no connections between the topics and different communities on teh gephi graph.  Everyone else, #ke

In coming together as the Environmental group, it was interesting to see how little our data analysis overlapped in summary. When looking into the tex

[gview file="http://commons.trincoll.edu/amst-data-driven/files/2017/04/transgender-Final-Presentation.pptx"]Each of our graphs showed more or less th

Our group first looked at our gephi analysis, which was very similar for #climatechange, #standingrock, and #keystonexl, but appeared significantly di

Analyzing each graph against the group, the biggest difference I noticed was in the Gephi maps. Tim's graph was very spread out with not many connecti

Individually, each graph says something different about the data. The map shows a majority of the tweets concentrated in the U.S and the data corresp

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

The graphs within our group revealed that our topics were more related and similar than first anticipated. Obiously #Syria, #ISIS and #Muslimban are g