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Welcome to the Pythistic Wiki!

Statistic Data Processing Made with Python

Pythistic is a tool for Data Processing, Display, and Transformation that is useful for statistical purposes. It was created because I (aka. brotherzhafif) am lazy about manually calculating statistics for assignments.

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Used Libraries

• Scipy
  • https://github.com/scipy/scipy
• Numpy
  • https://github.com/numpy/numpy
• Pandas
  • https://github.com/pandas-dev/pandas
• Tabulate
  • https://github.com/astanin/python-tabulate
• Matplotlib
  • https://github.com/matplotlib/matplotlib
• Matplotlib Venn
  • https://github.com/konstantint/matplotlib-venn

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Features

• Descriptive Statistics: Automatically calculates mean, median, mode, variance, standard deviation, skewness, and kurtosis.
• Frequency Table: Automatically generates a frequency table from a dataset.
• Data Visualization: Use pandas and matplotlib to create visualizations like histograms and box plots.
• Tabulate Integration: Outputs data in a clean table format using the tabulate library.
• Data Transformation: Perform Data Transformation to Normalize Data Distribution

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Installation

To use Pythistic, you need to have Python installed. You can install the required libraries using pip:

Installing The Pythistic Library with Pip

pip install pythistic

or

Cloning The Repository

pip install numpy scipy pandas tabulate matplotlib matplotlib_venn

Once all libraries are installed, you can clone the repository:

git clone https://github.com/brotherzhafif/Pythistic.git

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Contributing

We welcome contributions! If you find bugs or want to add features, feel free to open an issue or submit a pull request.

Steps to Contribute:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes.
4. Push to the branch (git push origin feature-branch).
5. Open a pull request.

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License

This project is licensed under the MIT License - see the LICENSE file for details.