Brent Oil Price Change Analysis

Analysis of how geopolitical events, OPEC decisions, and economic shocks affect Brent crude oil prices (1987–2022).

Project Structure

├── data/
│   ├── BrentOilPrices.csv       # Raw price data (place here)
│   └── key_events.csv           # Compiled key events dataset
├── notebooks/
│   ├── analysis_workflow.md     # Analysis plan & methodology
│   └── task1_eda_changepoint.ipynb
├── scripts/
├── src/
└── tests/

Setup

1. Data Analysis (Jupyter Notebook)

To set up the environment for EDA and change point analysis:

pip install -r requirements.txt

2. Dashboard Backend (Flask)

Install Python dependencies for the backend API:

pip install -r backend/requirements.txt

3. Dashboard Frontend (React)

Install React dependencies:

cd frontend
npm install

Usage

1. Running Notebooks

Place BrentOilPrices.csv in the data/ folder, then run the notebook:

jupyter notebook notebooks/task1_eda_changepoint.ipynb

2. Running the Interactive Dashboard

To start the dashboard locally:

1. Start the Backend Server:

   python backend/app.py

   The Flask server will run on http://localhost:5000.

2. Start the Frontend Development Server:

   cd frontend
   npm run dev

   The Vite server will start on http://localhost:3000 and automatically proxy API requests to port 5000. Open the browser to see the dashboard.