Link to visualization
I chose to highlight the gender gap between men and women in comics. Specifically, my visualization shows women inducted into Will Eisner’s Hall of Fame. Because I was limited to focusing on the few names listed and my visualization does not contain any pictures, I created a simple list, or you can refer to it as a table. A list format is most effective for this visualization for several reasons. First, it is clear and precise. A list is simple and to the point, allowing me to present my information in an easily readable way. I could have also used a bar chart to convey my message if I had included men and women in my visualization. The items I used were wdt:P21 (sex or gender), wdt:P106: (occupation), wdt:P31:( instance of) and wdt:P166: (award received). I created my visualization using the Wikidata Query Helper. I had difficulty deciding which items to include because some were too narrow, which left me with no results, while others were too broad, which did not help me convey what I was trying to convey. This topic of male dominance in the comic book industry caught my attention because the cartoonist I have studied, Dale Messick, was one of these women inducted into the Will Eisner Hall of Fame and one of the first two. Another exciting thing about this is that it was not until 2001 that women began to win this award, which was created in 1987. One of the exciting aspects of my visualization is how short my table is due to the relatively small number of women in this hall of fame. If I had more time, It would be interesting to create a new one just for men so that I could observe the difference in the length of the results lists. This process taught me how to navigate the different items and properties that help you produce a visual representation of precisely what you wish to convey.
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