This is a final portfolio for the Interactive Data Visualization (DATA 73200) course and Advanced Interactive Data Visualization Studio (DATA 78000) course taught at CUNY, The Graduate Center Spring 2020 and Fall 2020.
View Repository on GitHub: mlissade/Interactive-Data-Visualization-Portfolio
If you live in New York City, then you definitely have heard the illegal fireworks that went off almost every night for several weeks over the summer. Unfortunately, 311 got a lot of calls about them but the complaints definitely did not stop there. This project observes the top complaints with significant change from 2019 to 2020.
For this project, I explored a dataset from the website Information is Beautiful that has some popularly known caffeinated beverages with their nutrition facts. As a graduate student, I found this to be an interesting dataset to explore because students, like myself, often drink caffeinated drinks to try to stay awake to get what needs to be done. But sometimes we may not necessarily be thinking about our calorie in take when drinking that caramel macchiato though. The visualiztion I intend to create will allow the user to explore beverages in the visualization by drink type, calorie count, and/or caffeine content.
For this project, I created a visualization that shows the Gender Pay Gap in the US. My visualization is based off a similar visualization that uses the same dataset from the website Information is Beautiful. The data was collected from the Bureau of Labor Statistics. For this particular dataset, the data used was for full-time employees. Part-time employment and freelance work were not included. It is also important to note that the dataset was last updated in 2016. The first two graphs in this project show the average annual salaries of specific occupational categories for both men and women. The third one shows the gap between the two. It becomes apparent that the jobs that generally pay the most are the ones where the pay gap between men and women is the largest.