Here is a link to a picture of the visualization:
https://docs.google.com/document/d/14kzDaMUBX9Ui_hqjOioUI8PryTRcMu36CiGjdfRdAkM/edit?usp=sharing
Here is a link to the Wikidata code:
The visualization I have created is a bar graph regarding my cartoonist, Bianca Xunise. The visualization is a bar graph that contains information about “Human Artists that are non-binary and born in the United States” and their occupations. The reason this is important to know is because there are different definitions and ideas of the word “artist.” The word artist is used to categorize Bianca Xunise, who is a cartoonist, but there are people who are photographers and rappers who also show up in the results. There is also a sense of identity when showcasing these different artists as they are non-binary people. Non-binary people are usually the minority in representation, but Wikidata provides some data on them in the best way possible.
When I tried to make the data I received into a visualization, there were many options provided. However, the best option was to put the data into a bar graph. The bar graph showcases the different names of the people listed on the x-axis and their identities, passions, and where they live on the y-axis. In the middle of the graph and on the legend below the graph, there are color-coded blocks that showcase their specific occupations. So, if we were to look at Bianca Xunise on the x-axis, we are told that they are a cartoonist on the y-axis, but their block of occupation is listed as an artist. The information provided on the bar graph gives more context on who these artists are and how many other identities they have besides their occupation. Using this visualization, there can be more inspiration to research non-binary artists and their lives and work so there is more representation of a group of people.
The information that I found the most interesting was that graphic designers, cartoonists, university teachers, etc., are all considered artists because these are all drastically different topics. The information that I found was missing was the specific art that each person created, especially Bianca Xunise’s comic strips.
There were many struggles when creating this visualization, especially when trying to narrow down the specific codings to get my cartoonist in the results. Bianca Xunise’s occupation is listed as an artist, but many other cartoonist’s occupations are listed as a cartoonist, or they have many other results, like a writer. So, I had to use Bianca Xunise’s Wikidata profile to find their attributes and hope there were more people who fit into the categories. Also, the bar graph visualization was not the best, as the y-axis cuts off some of the information regarding the artists, and the color-coded blocks repeat some of the information in the y-axis.
If I had more time, I would find a way to manipulate Wikidata to provide more information about my cartoonist and their comic strips. However, I learned that SPARQL and Wikidata are both very cool tools for finding and collecting data.