Students in Data Challenge Lab, the data science intensive course taught by Bill Behrman and Hadley Wickham, pursue a quarter-long data exploration and analysis project of their choice using the Tidyverse R skills they learn in the course. My project explored the dataset released by the Stanford Education Data Archive along with the publication The Geography of Racial/Ethic Test Score Gaps, (Reardon, Kalogrides and Shores, 2017). Using a number of creative data visualization techniques, including some inspired by the New York Times interactive based on the paper, I was able to explore the education achievement gap between students of different races and with parents of different income and education levels geographically, by subject and by student age.
I am unable to share any results or code in accordance with the class policy and the Stanford Honor Code.
