TASK : Identify Top-Performing Delivery Riders

**Issue:**
One of our key objectives is to recognize and reward our top-performing delivery riders. To achieve this, we need to identify these riders based on their average delivery time and customer ratings. This analysis will help us acknowledge and incentivize excellence in our delivery services.

**Goals:**
- Identify the top-performing delivery riders based on their average delivery time and customer ratings.
- Provide a ranked list or visualization of the top riders.

**Instructions:**
1. Fork this repository to your GitHub account.
2. Clone your forked repository to your local machine.
3. Navigate to the project directory.
4. Locate the "delivery_data.csv" dataset in the "data" directory.
5. Use Python (e.g., pandas) to perform the necessary analysis.
6. Calculate the average delivery time and average customer rating for each delivery rider.
7. Rank the riders based on their performance in these two categories.
8. Create a script or Jupyter Notebook to showcase the top-performing riders.
9. Ensure your code is well-documented and easy for others to understand.

**Submission:**
Once you've completed the analysis and identified the top-performing riders, submit your work by creating a pull request to this repository. Please include your script or Notebook, the ranked list of riders, and any visualizations that can help convey the results effectively.

If you have any questions or require assistance during the analysis, feel free to reach out. Let's celebrate the achievements of our outstanding delivery riders together!

Start with data/delivery_data.csv and inspect its columns before choosing the Python or pandas entry point. Calculate each rider's average delivery time and customer rating, then produce a ranked result and a script or Jupyter Notebook with supporting visualization. Done means the repository contains the documented analysis, ranked riders, and any included visualizations.

Written by the indexing model from the issue text.