TASK : Calculate Average Delivery Time and Cost by Month

**Issue:**
To gain valuable insights into our delivery operations, we need to calculate and analyze the average delivery time and cost for each month. This will help us identify trends and make informed decisions to improve our services.

**Goals:**
- Calculate the average delivery time and cost for each month.
- Provide summary statistics and visualizations to present the findings.

**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, Matplotlib, or Seaborn) to perform the necessary calculations.
6. Create a script or Jupyter Notebook to calculate the monthly averages.
7. Generate summary statistics (e.g., mean, median, standard deviation) for delivery time and cost.
8. Create informative visualizations (e.g., line charts, bar plots) to represent the monthly averages.
9. Ensure your code is well-documented and easy for others to follow.

**Submission:**
Once you've completed the calculations and visualizations, submit your work by creating a pull request to this repository. Please include your script or Notebook, summary statistics, and visualizations in the pull request description. Feel free to provide any additional insights or observations you've made during the analysis.

If you have any questions or need assistance, don't hesitate to ask. Let's work together to uncover meaningful trends in our delivery data!

Start with data/delivery_data.csv and inspect its columns and date fields before choosing a script or Jupyter Notebook structure. Calculate monthly averages for delivery time and cost, add mean, median, and standard deviation summaries, and create line or bar visualizations. Done means the documented analysis, summary statistics, and visualizations are included in the submission.

Written by the indexing model from the issue text.