I wanted to analyze differences in % salary raise between male and female professors, associate professors, assistant professors, instructors, and lecturers at Arizona State University.
Overview of the Interface
Display the distribution of percent salary raises for each gender (male is dark blue, female is light blue) in each department (if under the department tab) or in each position (if under the position tab).
At the center of the sunburst diagram, the blue represents the whole of Arizona State University. The inner layer (multicolored) breaks the general university into the various positions represented in the data that was obtained. The number of people in that position is proportional to the radial width of the arc. The outer layer (colored pink and blue) breaks down the first layer even further into the number of males and females employed in the position. The number of people in that position is once again proportional to the radial width of the arc, and the height of each arc correlates to the total salary of each respective gender in that position, with the maximum height being the maximum total salary of any one gender across the entire school and the minimum being zero.
Challenges I ran into
Learning how to program a sunburst diagram was a challenging experience, but in the end, it was very rewarding.
What's next for Salary Data Project
No updates are currently in store for this project.
Although I recognize that not everyone can be generically placed in the rigid categories of "male" and "female", I determined gender in such a way in that it would be hard to place anyone in a category other than the two provided above. Gender was determined by programming a function to search for the given name in a comprehensive database containing the frequency of a certain name being male or female.