Divvy Bike Sharing Dashboard – Top Station Analysis 2019 (Built in Tableau)

Project Question:

What are the top-performing bike stations in Chicago based on the number of trips across different time blocks, seasons, and user types?

Overview:

This interactive Tableau dashboard analyzes Divvy bike trip data to uncover:

The top 15 most popular bike stations by trip volume

Total trips by user type: Customer vs. Subscriber

Trip distribution by day of the week

Most active hours of the day

Impact of time block and seasonal trends on ridership

? Key Features:

Fully dynamic filters for Time Block, Season, and Usertype

Visual station mapping with proportional bubble sizes

Hover-friendly bar charts showing trip trends

Clean, vibrant, and readable UI for storytelling and business insight

Purpose:

To support Divvy’s business decisions by identifying high-traffic stations, peak hours, and behavioral patterns of different rider types, which can be useful for bike redistribution planning, marketing strategies, or infrastructure improvements.