The topic for the table is comic artists in Washington, D.C.. I added filters to narrow the list. The filters included human, male, comic artist, Washington D.C., and country of citizenship. From there, I altered the code by adding ?occupationDescription to get another column in the table. The table contains eleven people and includes name, country of citizenship, occupation description and each person’s wikidata link. What is significant about this table is that it is able to break down comic artists from a specific city and based on gender. It also includes the wikidata link to each of their pages making it very easy to navigate to learn more about each of these comic artists. The visualization of a table best represents this information as a bar graph would not be able to show all the descriptions for each individual. There is not much connection between the specified filters which is why a table shows this information the best. I struggled to include an age range, or year of birth. Including birth year would add information to narrow down even further the comic artists in the area. One interesting point is that the occupation description is slightly different for most of these artists even though they are all comic creators. Some occupations show cartoonists, comic artists, or more specifically American comic artists. I learned that wikidata can be extremely valuable in connecting information between people. It is extremely helpful to apply somewhat broad filters to be able to connect the person you are researching with others similar to them.
