Data Analysis & Interactive Dashboard
This project analyzes Bike Sharing rental data from 2011 to 2012 to understand usage patterns across years, months, hours, and seasons. The analysis covers data wrangling, exploratory data analysis, visualization, and an interactive Streamlit dashboard.
Data Gathering → Data Assessment → Data Cleaning → Exploratory Data Analysis → Visualization → Streamlit Dashboard
Total rentals increased substantially from about 1.25 million in 2011 to around 2 million in 2012.
Rental activity generally increased toward the middle of the year, with strong demand around June to September.
Hourly usage peaked around 8 AM and 5 PM, indicating strong commuter-related usage patterns.
Fall recorded the highest total bike rentals among the four seasons.
