Ford GoBike Data Analysis Project – Exploring User Behavior and Usage Patterns

A data analysis project based on the Ford GoBike dataset, focused on exploring and understanding user behavior and usage patterns.

The project involves data cleaning, preprocessing, and exploratory data analysis (EDA) to extract meaningful insights from real-world data.

Key analyses include trip duration patterns, peak usage times, user types, and the impact of time and location on bike usage.

Visualizations are used to clearly present trends and findings, making the results easy to understand and interpret.

This project highlights practical skills in data analysis, data visualization, and analytical thinking, and demonstrates how data can be transformed into actionable insights for decision-making