The subject of this wikidata query visualization is showing all occupations of artists in wikidata. Then to narrow it down I filtered the artist’s field of work to show the results of people who work in comics. I then wanted to narrow it down to see the number of females in Wikidata who are both artists who work in comics. Once I got to this point I had a solid number of 17 results that popped up. So then I had to figure out what I wanted to know about these people with this given filtered search. My particular cartoonist is Lynn Johnston. I thought it would be cool to try and show certain categories that would get her name to pop up. So from this search result, I wanted to show the awards received for each of these female cartoon artists while also showing their name to know who received which award easily.
I created this query all on my own by using the Wikidata Query Helper and then adding in certain filters and “show” items to create a successful visualization. I chose this visualization because I wanted to show how successful my artist Lynn Johnston is in the comic industry while also promoting the all-female cartoonists’ awards they have received. Sometimes it is hard for females in this industry to get recognition so I wanted to look at just the female gender in particular. I chose to display this visualization in a graph form because it is the easiest way to look at this information. There are only 17 results in this search so having it all listed out in the graph form makes it super easy to read and analyze.
This visualization is good for a list of reasons; analyzing gender representation in the comic industry, highlighting female cartoonists, comparison of awards received, promoting diversity, and data exploration. The visualization allows you to see how many female artists in Wikidata work in the comics industry. This visualization can be used to specifically showcase female cartoonists, giving them the recognition they deserve in an industry that may have been historically male-dominated. The chart helps identify female cartoonists who have received awards. This could be valuable for celebrating their achievements and highlighting their contributions to the comics industry. It can also be used to compare these awards listed for the different female cartoon artists. For researchers, scholars, or enthusiasts interested in the comic industry, this visualization provides a concise and accessible way to explore data about female cartoonists and their achievements.
This is something that can be used for people wanting this information for any reason to easily access and view the information in a clearly organized way. One thing I struggled with while creating this wikidata visualization was trying to put things into the query that made sense for my subject while getting results. I struggled a lot at first to create something with results. I wasn’t super familiar with how to successfully make it work and most of the time would get a search with zero results. I learned a lot about wikidata and how to make visualizations through this process. If I had a more direct thing to try to pinpoint/search in wikidata I feel like I have a good chance of creating a successful visualization. Which is a big difference in what I could’ve done with wikidata a week ago!
Link to visualization: https://query.wikidata.org/#SELECT%20%3Foccupation%20%3Faward_received%20%3Faward_receivedLabel%20WHERE%20%7B%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%0A%20%20%3Foccupation%20wdt%3AP106%20wd%3AQ483501.%0A%20%20OPTIONAL%20%7B%20%20%7D%0A%20%20%3Foccupation%20wdt%3AP101%20wd%3AQ1004.%0A%20%20%3Foccupation%20wdt%3AP21%20wd%3AQ6581072.%0A%20%20OPTIONAL%20%7B%20%3Foccupation%20wdt%3AP166%20%3Faward_received.%20%7D%0A%7D%0ALIMIT%20100
