ECE 229 Group 3 Project, Spring 2022
According to the United States Department of Agriculture in 2020, 13.8 million households were food insecure, meaning they lacked consistent access to nutritional food. In this project, we made our dashboard with the express purpose to cater to people who want to make a positive change in their community but may not have a strong statistical background. Whether it be a politician’s policy decisions, an organization’s efficient budget or perhaps an individual’s personal time any of these groups can use our dashboard to view a graphical analysis of food insecurity over the past decade in America in order to best allocate their resources to impoverished groups.
- Json 2.0.9
- Numpy 1.21.5
- Pandas 1.3.4
- Plotly 5.8.0
- Scipy 1.7.1
- data
| -- 2018_fi_data.csv
| -- ...
|
- picture
| -- pytest_coverage.png
| -- pytest_result.png
|
- county_ranking_model.py
|
- ProjectCodeCombine.py
|
- test_ProjectCodeCombine.py
|
- firate.ipynb
|
- Food Insecurity Analysis.ipynb
|
- README.md
The data folder contains all data files.
The picture folder contains the pictures for pytest.
county_ranking_model.py and firate.ipynb are the source code, which are combined and tested in ProjectCodeCombine.py and test_ProjectCodeCombine.py.
All visualizations and descriptions are presented in Food Insecurity Anlysis.ipynb. You can view it by
$ jupyter notebook Food\ Insecurity\ Analysis.ipynb
To run the pytest
pytest test_ProjectCodeCombine.py -vTo check the coverage
pip install coverage
coverage run test_ProjectCodeCombine.py
coverage report -m
