I have long been interested in the factors that influence energy markets. When I encountered the UK government's dataset on the Supply and Use of Crude Oil and Natural Gas Liquids, I recognised an opportunity to apply data analytics techniques to a practical dataset in the energy sector.
My analysis focused on uncovering patterns in four key areas:
- Domestic production trends
- Import/export dynamics
- Stock level variations
- Seasonal consumption behaviours
And involved:
- Conducting full EDA using Python (Pandas/Matplotlib)
- Developing custom time-series analysis for seasonal adjustments
- Creating visualisations for stakeholder perspectives
For those interested, feel free to check out the full Jupyter notebook on GitHub: UK Energy Analysis Repo