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.
- Python * Pandas (Data manipulation)
- NumPy (Numerical operations)
- Matplotlib & Seaborn (Data visualization)
- Jupyter Notebook (Code execution)
- Identified peak hours for Uber rides.
- Analyzed the most popular days for booking rides.
- Visualized the correlation between different factors affecting ride frequency.
- Clone this repository:
git clone https://github.com/CodeHackWithSorif/Uber-Data-Analysis.git