Snap map

Temporary link to web app: http://ec2-52-34-2-17.us-west-2.compute.amazonaws.com:8080/home

Data Sources:

Snap Retailer Locations: https://www.fns.usda.gov/snap/retailerlocator Downloaded 1/10/2017 as store_locations_IL.csv Main retailer data source
Farmers markets with double value coupons: http://www.dhs.state.il.us/page.aspx?item=44172 Farmer's Markets included in this source but not in the USDA database were added. In addition, those that accept double value coupons were matched with the USDA entry and flagged. The final results are in Snap_With_Markets.csv.
Google Places API Through snapmap2.py, we connect the data downloaded from 1) to the appropriate place ID, location, address, and cost category. We do this through an inital Nearby Search using the given address, followed by Searches using the given retailer name. The matched place ID is used in a Place Details search return information including formatted address and phone number.

If a retailer from 1) does not return any results from the Google API search, only the information from the original data source is included in the database. The same is done for retailers that return results considered a "bad match" based on a comparison of Google address and name vs original data source.

Final results are in snapresultstestChicago2.csv.

Yelp API For retailers that were matched with Place ID's from Google and have phone numbers returned from the Place Details search, Yelp cost (ranging from $ to $$$$$) are added to retailer information.
Food prices: https://data.bls.gov/cgi-bin/dsrv?ap Selected U.S. City Average, All food items (155 total selected), Dec 2016 price, filtered down to items with available pricing data
Field research: We visited seven stores of varying categories and price levels to record prices of available food items from the CPI list. The stores were: CVS on 53rd (convenience store $$), Hyde Park Produce (grocery $), Whole Foods (grocery $$$), BP (gas unknown), 7-eleven on 58 E Lake St. (convenience store $$), Open Produce (grocery $$), and Target (other $$). Recorded price points can be found here.

File Descriptions

building_price_model.py: Builds the StorePriceModel using the SnapLocations and FoodPrices models
data_to_model.py: Transfers the record linkage results from snapresultsChicago2.csv into a Django model (model name: SnapLocations)
placesAPI.py: Gets the bounding box for a given address in order to set the map
price_weights.py: Process price points collected through fieldwork by simulation additional data points, running regression to estimate multipliers, and transferring multipliers into a Django model (model name: multiplier)
pricesAPI.py: Retrieves and updates data from the StorePriceModel based on user inputs
prices_to_model.py: Reads data from the csv into the FoodPrices model
replace_field_data_to_model.py: Reads data from the csv into a Django model (model name: UserData)
snapmap2.py: Connects the database to Places IDs
farmers_markets.py: Web scraping of farmers markets from DHS website, including additional locations not in main retailer data source and double value coupon indicator
linking_markets.py: Record linkage of scraped farmers market details to main retailer data source
pull_user_data.py: Pulls user data from userdata model
auto_multipliers.py: A management script that (in theory) automatically updates the multipliers
crontab_text.txt: The crontab text that would run auto_multipliers.py every two weeks