Data Visualization Report -Kylee

I chose to analyze https://groups.uni-paderborn.de/graphic-literature/gncorpus/charts.php. This visualization is groups of bar graphs showing different statistics about authors, illustrators, and books. (There are a couple bar charts in the website and a few continuous graphs but for the analysis I’m going to focus on the bar charts.) According to the text, these graphs are showing discrete data. As the author writes in their example, “In visualizing the height of students in a class, making a continuous graph that connects the dots makes no sense at all. There is no continuity between the height of one student and another. Individual height is a discrete value” (90). The bar chart is showing individual statistics therefore they are not continuous. Also noted by the author, “The bar chart compares the values of each segment to each other” (87). The bar charts the website is showing, effectively gives the reader a sense of the differences between each category being compared. It gives a good visual representation of the numbers. One thing I found interesting was on the chart titled “Gender of Authors/ illustrators by Genre” there were hardly any females. Under the category for nonfiction there was only one female while there were 22 males. The only category that was even was the graphic memoir category. I find the numbers and statistics interesting but what isn’t included is the reasoning behind this. The charts give the reader a good baseline of information, but it does not help the reader to understand the reasoning behind this. If the chart showed the statistics and then the reader could click on the statistic and read more about why it is like that, it would make the charts more informative and interesting.