Process

To start this project, I researched different ways information on diversity is displayed and chose this bubble graph style for its aesthetic appeal as well as for easily skewing the information. All the data used in this graphic came from the table below. Taken directly from Carnegie Mellon University's annual fact book, I took the totals (on the bottom row) from each racial category. From the total number of reported races, I calculated a percentage of a whole, leaving out the category for "race not reported". I then used these numbers to create circles for each category on Photoshop. 

While the largest three categories (International, White, and Asian) are proportional to each other based on this percentage, the smaller minority group data sets were made into bigger circles than proportional. In other words, instead of accurately displaying the percentage ratios, I made the circles representing minorities larger to make it look like these groups are more present and that we are a more diverse school. 

In doing this, the biggest challenge I faced was choosing just how much I wanted to misrepresent the data. It could be as subtle or obvious as I wanted, and I played around with the relative sizes and arrangements of the circles before choosing to go in the middle - not too obvious but visible enough to think the minority groups are better represented than the data says.