Geodemographic Python Example

This repository contains the workflow for producing a geodemographic classification in Python using k-means clustering. It follows a simplified process, similar to that described in the 2021 OAC Paper.

Files

• Main notebook: 1_geodemographic_example.ipynb
• Requirements: Dependencies are listed in requirements.txt
• Example data: example_oacdata.csv

Setup (dependencies)

The dependencies can be installed from inside the notebook.

Alternatively;

Using pip and a virtual environment

Create and activate a virtual environment:

python -m venv .venv
source .venv/bin/activate  # On Windows, use `.venv\Scripts\activate`
pip install -r requirements.txt