The repository contains all the jupyter notebook created for the import and exploration of data through open source. Data used for this project is publicly available. The data sets are imported to the working environment through the execution of the .ipynb with the prefix "import_". The census tract boundary data could be retreive here: https://www.census.gov/geographies/mapping-files/time-series/geo/carto-boundary-file.html. This is part of the data analysis process contributing to a group prentation for ECON3225 Big Data Economics.
The primary objectives of the project is to identify census tract classified as food desert by the USDA using socio-economic indicators. According to the USDA, food deserts are defined as:
"Low access is characterized by at least 500 people and/or 33% of the tract population residing more than 1 mile from a supermarket or large grocery in urban areas, and more than 10 miles in rural areas.”
