Overview
This project provides an analysis of ride data from the Namma Yatri platform using Power BI. The data is sourced from a SQL database, enabling in-depth insights into ride patterns, peak hours, popular routes, and overall service efficiency.
Features
Data Integration: Data extracted from a SQL database for analysis. Visual Insights: Power BI dashboards displaying key metrics like ride frequency, routes, and driver performance. Trend Analysis: Identify peak ride times, popular destinations, and seasonal trends.
Getting Started
Prerequisites
SQL Database: Contains the ride data. Power BI: For data visualization and analysis.
Installation
- Clone the repository: git clone https://github.com/yourusername/namma-yatri-ride-analysis.git
- Set up your SQL database with the provided data.
- Open the Power BI file (.pbix) to start exploring the dashboards.
Usage
Connect the Power BI report to your SQL database.
Use the filters and slicers to explore different aspects of the ride data.
Data Sources Ride data is sourced from the Namma Yatri platform's SQL database.
Contributing Contributions are welcome! Please fork the repository and create a pull request for any suggested changes or enhancements.