Divvy Trips Sample Dataset

These datasets, Divvy_2019_Q1_csv_version and Divvy_2020_Q1_csv_version, respectively, have been made available by Motive International Inc. under a Bikeshare license.

The datasets support a real-world case study aimed at understanding how different types of riders (casual and annual members) use Chicago’s Divvy bike-share system. The project focuses on identifying usage patterns, uncovering behavioral insights, and developing data-informed strategies to increase annual memberships.

It was used in a portfolio project that simulates a business scenario where the marketing team is tasked with converting casual riders into annual members by leveraging trip data, seasonality, and ride duration trends.

The analysis includes:
User segmentation based on ride behavior
Time-based trend analysis
Ride duration and frequency comparison
Recommendations for customer acquisition and retention

This dataset and case study showcase practical skills in:
Exploratory Data Analysis
Data wrangling and cleaning
Data visualization (ggplot2)
Business storytelling and insight communication