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RentBike

A bike rental data analysis dashboard with interactive visualizations exploring rental patterns by time, weather, season, and user type.

PythonStreamlitData Analysis
RentBike

About RentBike

RentBike is an interactive data analysis dashboard built with Python and Streamlit, exploring bike rental patterns across multiple dimensions. The dashboard provides rich visualizations that reveal how factors like time of day, weather conditions, seasons, and user types influence bike rental behavior.

The project demonstrates strong data analysis skills, from data cleaning and preprocessing to creating meaningful visualizations that tell a compelling story. Built with Streamlit for rapid dashboard development, the app offers an interactive experience where users can explore the data through various filters and chart types.

RentBike showcases the ability to extract actionable insights from raw data—skills that complement mobile development with data-driven decision making. The live demo on Streamlit Cloud makes the analysis accessible to anyone with a web browser.

Key Features

  • Interactive data visualizations
  • Rental pattern analysis by time of day
  • Weather impact on bike rentals
  • Seasonal trend analysis
  • User type comparison (casual vs registered)
  • Built with Streamlit for rapid prototyping
  • Live demo deployed on Streamlit Cloud
  • Data-driven insights and storytelling

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