Predicting Yulu Bike Demand

Understanding the impact of weather and season on bike-sharing demand using ANOVA (Python).

Introduction

This project aims to uncover the factors influencing the demand for Yulu bike rentals in India. By analyzing variables such as weather, season, temperature, humidity, and holidays using statistical methods like ANOVA, we identified the significant drivers of demand. These insights help optimize operations and enhance market strategies for bike-sharing systems.

Key Variables & Methods

Weather ANOVA Results Season ANOVA Results

Analysis Workflow

Conclusion

The analysis revealed that weather and season significantly influence Yulu bike demand, offering actionable recommendations for operational adjustments and marketing strategies to enhance market success.

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