Objective is to visualize RECS 2009 (n-dimensional data) and use feature reduction techniques to understand the impact of type of housing unit on the energy consumption pattern
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Updated
Aug 13, 2018 - Jupyter Notebook
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recs
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Python scripts for processing RECS and AHS federal housing survey data to produce weighted characteristic distributions for U.S. dwelling prototypes, in support of NIST TN 2329.
python nist recs data-analysis census-data ahs indoor-air-quality building-science building-energy-modeling residential-energy housing-stock american-housing-survey energy-consumption-survey dwelling-characteristics air-leakage
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Updated
Oct 8, 2026 - Python
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