Back to Projects
DATA SCIENCE / DATA ANALYSIS

Bike Sharing Analysis

An end-to-end analysis of Capital Bikeshare usage in Washington, D.C. during 2011 and 2012, covering data cleaning, exploration, visualization, and an interactive Streamlit dashboard.

View on GitHub
Bike Sharing Analysis preview
01

My Contribution

  • Cleaned and prepared daily and hourly Bike Sharing datasets for analysis.
  • Performed exploratory data analysis (EDA) to identify rental patterns across seasons, days, weather, and time categories.
  • Analyzed rental trends and compared usage patterns between 2011 and 2012.
  • Compared average rentals across weekdays and weekends.
  • Analyzed the impact of weather conditions, temperature, and humidity on bike rental demand.
  • Created data visualizations using Matplotlib and Seaborn to communicate key findings.
  • Developed an interactive Streamlit dashboard with filters for season, day type, weather, and date range.