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Project Description

mca is a Multiple Correspondence Analysis (MCA) package for python, intended to be used with pandas. MCA is a feature extraction method; essentially PCA for categorical variables. You can use it, for example, to address multicollinearity or the curse of dimensionality with big categorical variables.


pip install --user mca


Michael Greenacre, Jörg Blasius (2006). Multiple Correspondence Analysis and Related Methods, CRC Press. ISBN 1584886285.


  • 1.0 (2014-06-24)

    First release. I’m sure it’s an auspicious date somewhere in the world.

Release History

Release History


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TODO: Figure out how to actually get changelog content.

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
mca-1.0.tar.gz (16.9 kB) Copy SHA256 Checksum SHA256 Source Jun 26, 2014

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