Data-Analysis-project-FCC---Mean-Variance-Standard-Deviation-Calculator

Description

This project involves creating a Python function to calculate the mean, variance, and standard deviation of a 3x3 matrix.

Key Features

• Usage of NumPy for mathematical computations.
• Accepts a 9-element list and reshapes it into a 3x3 matrix.
• Returns a dictionary containing:
  • Mean
  • Variance
  • Standard deviation

Files

• mean_var_std.py: Python script implementing the function.
• test_module.py: Test cases for functionality.

Example Input and Output

Input:

[0,1,2,3,4,5,6,7,8]

Output:

{
    'mean': [[3.0, 4.0, 5.0], [1.0, 4.0, 7.0], 4.0],
    'variance': [[6.0, 6.0, 6.0], [0.666, 0.666, 0.666], 6.666],
    'standard deviation': [[2.449, 2.449, 2.449], [0.816, 0.816, 0.816], 2.581]
}

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How to Run

1. Clone the repository:

   git clone <repository_url>
   cd <repository_name>

2. Install the required Python libraries:

   pip install -r requirements.txt

3. Run each project as described in their respective Python files.

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License

This repository is licensed under the MIT License. Feel free to use and modify the code as needed.

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Acknowledgements

Special thanks to my learning platform and mentors for guiding me through these projects.