OBaruch / Birmingham-Council-Purchase-Analysis

This repository contains a historical dataset of purchase card transactions for the Birmingham City Council. The dataset provides a comprehensive collection of transactional data, enabling various analytical tasks.

Birmingham-Council-Purchase-Analysis

Overview

This repository contains a historical dataset of purchase card transactions for the Birmingham City Council. The dataset provides a comprehensive collection of transactional data, enabling various analytical tasks.

Analytical Tasks

With this dataset, you can perform the following tasks:

Clustering

• Discovering profiles and identifying patterns in the transactions.
• Detecting unusual transactions (anomaly detection).

Forecasting

• Predicting future transactional behaviors.
• Forecasting expenditures and determining the next likely purchases.

Getting Started

Prerequisites

Ensure you have the following installed:

• Anaconda
• Python 3.9

Setting Up the Environment

1. Create a Conda Environment:

   conda create -n pct python=3.9
   conda activate pct

2. Install Jupyter and Dependencies:

   conda install jupyter
   conda install ipykernel
   pip install pandas

3. Create a Jupyter Kernel:

   python -m ipykernel install --user --name pct --display-name "Purchasing Card Transactions"

4. Installing the Requirements: Install the required packages listed in requirements.txt:

Execution

1. Run the main.py file: In the repo folder and terminal after installing prerequisites run:

   python main.py

Contributions

Contributions are welcome! Please submit a pull request or open an issue to discuss your ideas or improvements.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

Data provided by Birmingham City Council under the Open Government Licence v2.
Dataset Source