Detailed EDA of adverse food events reported to FDA.
- Mohit Shah (@razor139)
- Aditya Rustagi (@AdityaR-Bits)
- Jianghong Wan (@JWRickyWan)
- Rajasvi Vinayak Sharma (@Rajasvi)
- Sydney Larson (@phoenix-flames)
- Everyone gets sick due to bad food products.
- Study and analyse the FDA data of reported adverse food events from 2004-2020.
- Help users be aware of potential health risks before purchasing a product.
- pandas
pip install pandas
- plotly
pip install plotly
- Natural Language Tool Kit
pip install nltk
Details can be found in requirements.txt
├── LICENSE
├── README.md <- The top-level README for developers using this project.
├── requirements.txt <- Required 3rd party modules.
├── data
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable raw data.
│
├── references <- News clippings related to adverse food events.
│
├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
│ └── figures <- Figures used in presentation.
│ └── ECE 143 Final Project.pdf <- pdf of presentation.
│
└── src <- Source code for use in this project.
├── __init__.py <- Makes src a Python module.
│
├── data <- Scripts to generate data.
│ └── make_dataset.py
│
└── visualization <- Create exploratory and results oriented visualizations.
└── visualizations.ipynb <- Visualization notebook.
└── visualize.py <- File containing functions used in visualizations.ipynb.
The notebook for visualization of data is found in src/visualization.
visualizations.ipynb
The code has been run using:
- Python 3.8.11
- MacOS/Windows