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Showing posts from January, 2018

Module 2- What Are Visual Analytics Basic Elements?

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   The data I chose to represent was the schools in New York that had theatre programs and an overview of the school (i.e., cost of attendance, how many years the program is, etc.). Before I chose to be an Information Studies major, I was very invested in pursuing musical theatre. I wish I had a visual representation like this that gave me all the info conveniently in one place rather than having to research each individual school.    This first photo shows the data of the schools in New York that have theatre programs, and compares and contrasts all the different aspects about each school.      The second photo is all of this data mapped out to show the exact location of each school as well as give a pop up bubble of the school's information     I think something that could make this map more communicative is to color coordinate the circles based upon the price of the school. Going to school in New York City is not cheap, so a...
Hello class! So, I have a huge interest in both the arts and technology. One art form that has taken over, especially within recent years, is making Youtube videos. With all this controversy lately on YouTube's algorithm and how we see the videos we do, I decided to do my own research on how it all works. I came across this article, https://backlinko.com/youtube-ranking-factors, and it gave graphical representation of how different factors caused by viewers affect the YouTube algorithm. For example, the more people commented on/shared a video, the more likely it was for the algorithm to put the video up for a spot in the "Trending" page. With the  Keim et. al (2008) definition in mind I chose this article because the data was relevant to a part of pop culture that I was interested in. The data also had a very clean, great visualization that displayed multiple areas of the data collected. The article also had the other two parts as well as it provided much knowledge and a ...