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🚲 Cyclistic Bike Share Analysis

πŸ–ΌοΈ Dashboard Preview

![Summer Trend]Summer ![Seasonality]Seasonality ![Top Trip]Top Trip


πŸ” About This Project

I worked on this project to understand how people use Cyclistic bikes and what patterns exist in their usage.

The goal was to look at when people ride, where they ride the most, and how different users behave.


πŸ› οΈ Tools Used

  • SQL
  • Tableau

πŸ“Š What I Did

  • Looked at how bike usage changes across different months
  • Compared subscribers and casual users
  • Identified locations with the highest number of trips
  • Analyzed popular routes and trip patterns

πŸ’‘ Key Insights

  • Most rides happen between May and October (warmer months)
  • Subscribers make up the majority of users
  • Casual users ride less often but tend to take longer trips
  • Some areas have consistently higher demand than others

πŸ“ˆ Why This Matters

These insights can help the business:

  • Focus on high-demand locations
  • Improve marketing for casual users
  • Plan better for peak seasons

πŸ”— View Dashboard

πŸ‘‰ [https://public.tableau.com/app/profile/nonye.obi]


πŸ“Œ What I Learned

This project helped me get better at analyzing data, spotting trends, and explaining insights in a simple way.

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Analyzing bike-share data to understand user behavior, seasonal trends, and high-demand locations

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