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This project attempts to model and acquire data from SF OpenData - and other sources - to predict the relative risk of fire in San Francisco’s buildings and public spaces.
The mapping software will allow the user to type in an address and see fire-related risks and incidences around their area, as well as provide recommendations by fire safety experts in cases where there may be a high enough score to warrant preventive actions.
Current file storage https://drive.google.com/drive/u/0/folders/0B7ce50Tgcva8T2JNdTlxdi1hRXc
Current Table Used for Visualization /Model_Visualization/visualization_table_V2.csv (Table uses Enterprise Addressing System [EAS] to identify building and address locations.)
Current Raw Master File /masterdf_inc_census_tract.csv (Master file that has been cleaned and normalized, ready for modeling.)
Current Raw Master File with US Census Data /masterdf_111517.csv (New master file with US Census data, needs vetting.)