This case study analyzes ride patterns of Cyclistic bike share members and casual riders using the Divvy dataset for Q1 2019 and Q1 2020. The analysis explores: Differences in ride frequency, duration, and day-of-week usage between members and casual riders Average ride length trends and monthly patterns Behavioral insights to identify why casual riders might convert to annual memberships The report includes data cleaning, exploratory analysis, visualizations, and actionable insights for Cyclistic’s marketing and membership strategy. The goal is to demonstrate data analysis skills, visualization, and business insight using R Markdown.