The following project is something I worked on during the 2022 summer as part of my internship at Rensaissance Learning.
It analyzes the relationships between a K-12 student's socioeconomic background and their achievenment in schools.
I would like to give special thanks to Jon Stelman for not only running the EXL program but also helping guide me immensely on this project.
These are the two files the progrom analyses and uses to train a model. One of them was too large to upload on GitHub so I instead choose to include links to them here.
- http://purl.stanford.edu/db586ns4974 (File name: "seda_geodist_long_gcs_4.1").
- https://dataverse.harvard.edu/file.xhtml?fileId=5014491&version=3.0 (File was renamed to "harvard_SAT_income" for the project).