🚲 Bike Sharing Analysis with Databricks

This project explores bike rental patterns using the Databricks platform and the built-in bikeSharing dataset.

📊 Project Overview

The goal is to answer key questions such as:

• When do people rent bikes?
• Do rental trends differ between weekdays and weekends?
• Are there seasonal or hourly patterns?

🗂️ Dataset

The dataset is available at: /databricks-datasets/bikeSharing/data-001/hour.csv

🧠 Notebooks

Notebook	Description
bike-sharing	Bike Sharing Exploratory Data Analysis

⚙️ Requirements

• Databricks Community Edition or Premium
• Python (Databricks Runtime 11.3+ recommended)
• Matplotlib / Seaborn (pre-installed in Databricks)

📝 How to Run

1. Clone this repo:

   git clone https://github.com/snburk90/bike-sharing.git