Ensure you have the repository with the Jupyter Notebook and CSV files cloned locally.
Run the following commands to set up a Python virtual environment:
python3 -m venv venv
source venv/bin/activate # On Windows, use `venv\Scripts\activate`Install dependencies from requirements.txt:
pip install -r requirements.txtIf Jupyter is not installed, run:
pip install jupyterAdd the virtual environment to Jupyter:
python -m ipykernel install --user --name=venvManually place the provided CSV files into the input_data/ folder within your working directory. Ensure the following files are present:
population absolute_clean.csvpop under 14 proportion_clean.csvpop above 80 in proportion_clean.csvpop 65-79 proportion_clean.csvpop 50-64 proportion_clean.csvpop 25-49 proportion_clean.csvpop 15-24 proportion_clean.csvnet lending or borrowing_clean.csvLabor productivity_clean.csvGDP_clean.csvforeign born population_clean.csvcurrent account balance_clean.csv
Run the Jupyter notebook with the following command:
jupyter notebookOpen the .ipynb file in the Jupyter interface and execute the cells sequentially.
The script automatically cleans the data by:
- Renaming columns
- Removing NaN values
- Converting data types as required
Ensure all CSV files are correctly placed and formatted to avoid import errors. For any missing dependencies, update the requirements.txt accordingly.