Dataset Information

The following large files are required but not included in the repository due to size limitations:

• creditcard.csv (143.84 MB)
• creditcardfraud.zip (65.95 MB)
• data/Real_Estate_Sales_2001-2022_GL.csv (119.35 MB)

How to obtain the data

[Add instructions here for where to download these files from (e.g., Kaggle, official sources, etc.)]

How to add dependencies

uv add python-dotenv
uv add requests-toolbelt
uv add requests
uv add gql
uv add wordcloud
uv add matplotlib
uv add pandas
uv add scikit-learn
uv add notebook
uv add jupyter
uv add seaborn

How to run the analysis python file

uv run analysis.py

How to run the eda python file

uv run eda.py

Setup instructions

1. Download the required files from the sources above
2. Place them in their respective locations in the project directory
3. Your directory structure should look like:

   project/
   ├── creditcard.csv
   ├── creditcardfraud.zip
   └── data/
       └── Real_Estate_Sales_2001-2022_GL.csv
   

Ruff check

ruff check .

Ruff format

ruff format .

uv run ruff check eda.py uv run ruff format eda.py