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In brevi

dawgdad is a Python library for data scientists, machine learning engineers, and statisticians. It contains statistical and graphical functions for making sense of data to create information and understanding.

  • Supervised machine learning
  • Six Sigma methodology
  • Regular expressions
  • Process capability
  • Process variation
  • Excel file edits
  • Taguchi Methods
  • Data Science
  • Automation
  • Analytics

Why dawgdad?

  • Equivalent Python functions that are available in R, SAS, JMP, Minitab
  • Other packages have limited process control analysis features
  • Other packages are abandoned or inadequately supported
  • Functions to support measurement system analysis
  • Functions to simplify statistics, graphs, etc.
  • Functions to support process control charts
  • Functions to support SQL functionality
  • Develop a free open source package

Documentation

Full documentation is available at https://dawgdad.readthedocs.io/en/latest/.

Installation

This project is publish on https://pypi.org/project/dawgdad/.

pip install dawgdad

References

To cite this repository, please use:

@software{dawgdad, author = {Gilles Pilon}, title = {dawgdad}, url = {https://github.com/gillespilon/dawgdad}, version = {1.0.11}, date = {2026-10-24} }

Metadata

Release files for dawgdad 1.0.11

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Total release size: 171.9 kB

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