Uber Data Analysis 🚗📊

Project Overview

This project focuses on Exploratory Data Analysis (EDA) of Uber ride data. The goal is to analyze patterns in ride bookings, identify peak hours, and understand user behavior using Python.

Tech Stack Used

• Python * Pandas (Data manipulation)
• NumPy (Numerical operations)
• Matplotlib & Seaborn (Data visualization)
• Jupyter Notebook (Code execution)

Key Insights

• Identified peak hours for Uber rides.
• Analyzed the most popular days for booking rides.
• Visualized the correlation between different factors affecting ride frequency.

Data Visualizations 📊

How to Run This Project

1. Clone this repository:

   git clone https://github.com/CodeHackWithSorif/Uber-Data-Analysis.git