LIS 4930 - Visual Analytics

    I have always had a fascination for language and how it influences the world around us. When researching what to do for my final project I knew that I had to do something related to that idea. Being a German speaker in the United States, I wondered how my situation compared to the world around me. After ding much research I came up with some data to put into my visualization. After questing the internet to find a data set I came across a 2016 American Community Survey of the amount of languages spoken by people in the United States. While this data was impressive, I wanted something else to compare it to to get more of my point across. Getting data for how many people speak a certain language around the world was not as easy. I eventually found a data set from Ethnologue of data from over 7,000 languages. I decided to just stick to the top 20 languages for both the United States and the World population. Here are the two datasets     The next step...

    This week, we were asked to create our first visual social network analysis. We were given the choice to use either NodeXL or RStudio and I chose to use the latter. The syntax was fairly simple and installing the packages for the code was no trouble at all. Once I ran the code, it displayed the nice, simple design I have below. The code is from an example given by Ehsan Ahgaei on his GitHub page. The most challenging part was to get the packages to run, I eventually had to install it as a standalone package and then it worked fine. I really like the looks of these designs and I am looking forward to doing more in the future.