By Ryan Whitcomb Version 1, created 7/14/2016 Tags: counties, states, food, access, availability, supermarket, rural, urban, population, vehicles
From the United States Department of Agriculture's Economic Research Service, the dataset contains information about US county's ability to access supermarkets, supercenters, grocery stores, or other sources of healthy and affordable food. Most measures of how individuals and neighborhoods are able to access food are based on the following indicators:
- Accessibility to sources of healthy food, as measured by distance to a store or by the number of stores in an area.
- Individual-level resources that may affect accessibility, such as family income or vehicle availability.
- Neighborhood-level indicators of resources, such as the average income of the neighborhood and the availability of public transportation.
Numbers are summation of the Census Tracts for each county, distances refer to distance that an individual has to travel to access supermarkets, supercenters, grocery stores, or other sources of healthy and affordable food.
Additionally, some of the functions can return a sample of the Big Data using an extra argument. If you use this sampled Big Data, it may be much faster. When you are sure your code is correct, you can remove the argument to use the full dataset.
importfood_access# These may be slow!list_of_record=food_access.get_records(test=True)
Returns food access records from the dataset.
Optional argument to control whether ALL or SOME of the data is returned for this function. This makes it much easier to develop and test your code, only using a large (slow) amount of data when you are ready.