I chose to do a visualization of popular eye colors among humans. The visualization is a bubble chart that shows you the eye colors that have the most occurrence in Wikidata versus the eye colors that do not appear as much. The bubble chart makes it easy to quickly analyze the data that is shown. The eye colors that appear most are what is most effectively shown here. The super small bubbles aren’t very effective because they are so small that you can’t tell what color they are clearly. One thing that surprises me is the amount of bubbles. If I counted correctly, there are around 40 different eye colors. This is shocking because I feel like when looking through wikidata the eye colors do not get more specific than brown, blue, etc. I thought I was pretty successful with creating this visualization. I have found it hard to be super specific when searching in the query but using the filter to sort down to instances of humans, and then using the “show” filter to specifically identify eye color made this search successful. I want to learn more about how to use the filters to narrow down a successful search about a cartoonist, specifically things relating to my cartoonist. I think this will just take lots of practice and exploring in order to learn how to effectively use wikidata query in this way because I have found it to be super challenging for myself. After this visualization, I want to create a similar bubble chart for my Critical Creation #1. I want to try and create a demographic visualization. I think it could be interesting to see how many cartoonists are from certain countries using this kind of graph. Not only are bubble graphs fun to look at but they also easily portray data in a simplistic way.