Can we identify schools at risk for closure by performance and other characteristics?
Full discussion available on my blog. You can also peek at the slides from my Metis presentation as well.
The table below provides high-level overviews of what each IPython notebook does. More information (including specific input/ouput data) can be found in each notebooks' header.
| Program | Description |
|---|---|
| 01-school-closure-clean.ipynb | Import raw NCES CCD and EdFacts data, clean, and engineer features. |
| 02-school-closure-classify.ipynb | Predict school closures based onperformance and demographic characteristics. |
| 03-chool-closure-viz.ipynb | Produce descriptive statistics from cleaned NCES data and compile county-level datafile for d3 maps. |