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Can we identify schools at risk for closure by performance and other characteristics?
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deck
graphics
01-school-closure-clean.ipynb
02-school-closure-classify.ipynb
03-school-closure-viz.ipynb
README.md
requirements.txt

README.md

Metis Project 3: School Closure Classification

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.

Program Flow

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.
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