Implemented find_outliers.py

[rtiop]

Description

This pull request proposes to add a new file: find_outliers.py. From the terminal the user can find all of the "cells" in a JSON or CSV that are outliers in their category (column). That is to say: Z-score > 3. The information is then printed to the terminal.

Related Issues

This script addresses the first feature mentioned in the issue "Create a python script to determine the performance and accuracy of the datasets" #31 No other feature is implemented.

Changes Made

-Create a Python script in the Validation folder

Screenshots (if applicable)

Checklist

Please review and check the following before submitting your pull request:

• [ X] I have followed the project's coding conventions and guidelines
• [ X] I have tested my changes thoroughly
• [ X] I have added/updated relevant documentation
• [X ] My code follows best practices and is easy to understand
• [ ] I have added necessary test cases (if applicable)
• [ ] All existing tests are passing
• [ ] My changes do not introduce any new warnings or errors

Additional Notes

1. Support for other file types can later be added without too many difficulties. Currently only CSV and JSON are supported.
2. The script could easily be modified to be used as a function in another script instead of printing the output to the terminal.

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[neokd]

@rtiop use

if __name__ == '__main__':
   main()

[rtiop]

Done. I've seen it in many scripts, but I never understood what it was for. What's its utility?

[neokd]

Done. I've seen it in many scripts, but I never understood what it was for. What's its utility?

It is mainly used so we can make a module, You can refer here to get clarified.