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🚖 OLA_DATA_ANALYSIS

A comprehensive data analysis project focused on uncovering insights from Ola ride-sharing service data. This project explores trip patterns, pricing behavior, customer usage trends, and more using Python and data visualization tools.

📊 Project Objectives

  • Booking Behavior Analysis: Understand booking patterns by time, date, and location.
  • Cancellation Trends: Investigate ride cancellations by both drivers and customers, and analyze reasons.
  • Ride Completion: Analyze incomplete rides and their contributing factors.
  • Performance Metrics: Study turnaround times (VTAT/CTAT) and ride distances.
  • Customer & Driver Ratings: Examine rating distributions and correlations with other factors.
  • Revenue Insights: Analyze booking value trends and payment preferences.

🗂️ Project Structure

OLA_DATA_ANALYSIS/
├── OLA_DATABASE.sql
├── Ola-Slidesuhub.pptx
├── Ola_Booking_Dataset.csv
├── ola_data_analysis.pbix
├── ola_db_dataset.xlsx
├──LICENSE
└──README.md 

🛠️ Tools & Technologies

  • Powerbi
  • PostgreSQL
  • Excel
  • MS PowerPoint

📁 Dataset Overview

The dataset contains the following columns:

Column Description
Date Date of booking
Time Time of booking
Booking_ID Unique identifier for the booking
Booking_Status Status of the booking (e.g., Completed, Cancelled, Incomplete)
Customer _ID Unique identifier for the customer
Vehicle_Type Type of vehicle booked
Pickup_Location Ride pickup point
Drop_Location Ride drop-off point
AvgVTAT Average Vehicle Turnaround Time
AvgCTAT Average Customer Turnaround Time
CancelledRidesbyCustomer Whether the ride was cancelled by the customer
ReasonforCancellingbyCustomer Customer's reason for cancelling
CancelledRidesbyDriver Whether the ride was cancelled by the driver
ReasonforCancellingbyDriver Driver's reason for cancelling
Incomplete_Rides Whether the ride was incomplete
IncompleteRidesReason Reason why the ride was incomplete
BookingValue Fare value for the ride
PaymentMethod Payment method used (Cash, UPI, Card, etc.)
RideDistance Distance covered in the ride (in km)
Driver_Ratings Rating given by the customer to the driver
Customer_Rating Rating given by the driver to the customer

🚀 How to Run

  1. Clone the repository:

     https://github.com/Dhivakar2005/OLA_DATA_ANALYSIS.git
     cd OLA_DATA_ANALYSIS
    

🫱🏻‍🫲🏻 Contributing

Contributions, suggestions, and improvements are welcome! Please open an issue or submit a pull request.

📄 License

This project is licensed under the MIT License. See the LICENSE file for more details.

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A comprehensive data analysis project focused on uncovering insights from Ola ride-sharing service data. This project explores trip patterns, pricing behavior, customer usage trends, and more using Python and data visualization tools.

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