datasense 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 datasense?
- 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
Full documentation is available at https://datasense.readthedocs.io/en/latest/.
To cite this repository, please use:
@software{datasense, author = {Gilles Pilon}, title = {datasense}, url = {https://github.com/gillespilon/datasense}, version = {0.9.1}, date = {2024-04-30} }