Fall 2012-Spring 2013
I worked as a research assistant for Professor Karim Kassam in the Social & Decision Sciences Department for a year. We worked on piloting exploratory studies about color and fashion where I wrote & created surveys on Qualtrics, he'd put them up on MTurk, and I'd do some preliminary data analysis in SPSS. These studies didn't lead to anything, but I continue supporting his work by creating data visualizations in Python and R. Sometimes they made it to his publications in journals! In the Spring of 2013, I also took a Statistical Graphics and Data Visualization course working with large datasets in R, exploring them, and visualizing them. Here are a few of my favorites:
1. Emotions by State
This was from a large longitudinal data-set where people self-reported emotion multiple times throughout their day. I used Python & a modified script from Nathan Yau's flowingdata blog.
2. Happiness of Men and Women With/Without Kids
These were programmed in R. The most interesting finding was in the difference in happiness between men with & without kids, so I created a separate graphic focusing solely on those differences.
3. US Census data - race in atlanta from 2000 to 2010
For our final assignment for the Statistical Graphics and Data Visualization course, we were given a random US city's Census Data from 2000 and 2010 and simply told to explore within it. I was assigned Atlanta, and became really interested in what the data showed about gentrification.