London Bike Sharing Analysis
Project Overview:
This project explores the patterns and drivers behind bike-sharing activity in London using data visualisation and exploratory analysis techniques. Insights are presented through a dynamic Tableau dashboard, which highlights weather conditions, user behaviors, and temporal trends.
Technologies Used:
- Python (Pandas, Seaborn, Matplotlib)
- Tableau (Dashboard Visualisation)
- Jupyter Notebook
Key Features:
- Preprocessed and cleaned raw usage data using Pandas
- Created visualisations to explore seasonality, holidays, temperature, and humidity correlations
- Published a public dashboard in Tableau for interactive exploration
- Used Python for EDA, data wrangling, and correlation heatmaps