A challenge on Kaggle to make PASSNYC have a greater impact on helping students face the difficulties in taking the SHSAT.
Submission template for the Visual Analytics lab project at the Johannes Kepler University Linz.
This dataset is collected from Kaggle(https://www.kaggle.com/passnyc/data-science-for-good), provided by PASSNYC which is a non-for-profit organization that facilitates a collective impact that is dedicated to broadening educational opportunities for New York City's talented and underserved students. And the dataset is a public data used to identify students within New York City’s under-performing school districts. PASSNYC aims to increase the diversity of students taking the Specialized High School Admissions Test (SHSAT) through consulting and collaboration with partners. By focusing efforts in under-performing areas that are historically underrepresented in SHSAT registration, it might help to pave the path to specialized high schools for a more diverse group of students.