Add Interactive Data Cleaning Challenge

[imDarshanGK]

#1176

This pull request introduces an interactive data cleaning challenge designed to help beginner and intermediate users practice filling missing values in a dataset. The challenge includes a small dataset with missing values in the 'Age' and 'Salary' columns, where users can choose from three methods to fill the missing values: mean, median, or mode. Upon completion, the user receives immediate feedback on their choices.

Features:

1} Dataset with missing values in 'Age' and 'Salary' columns.
2} Users can choose between three methods for filling missing values: 'mean', 'median', and 'mode'.
3} Provides immediate feedback on the user's input.
4} Helps reinforce core data cleaning techniques for beginners and intermediate learners.

How it works:

1} Displays the original dataset and missing values.
2} Prompts the user to select a method for filling missing values.
3} Displays the cleaned dataset and provides feedback on whether the challenge was completed successfully.

Thank you,
@Niketkumardheeryan

[github-actions]

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[Niketkumardheeryan]

@imDarshanGK we don't accept.py files use .ipynb files instead,and attach readme as well

[imDarshanGK]

@Niketkumardheeryan
Thank you for the feedback!

I have made the necessary updates:

1} Converted the Python file (.py) to a Jupyter Notebook (.ipynb).
2} Added the README file with instructions for using the project.

The changes have been pushed, and the notebook is now ready for review. I hope this aligns with your project requirements.

Please let me know if you need any further adjustments.

Best regards,
Darshan G K