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Multiple correspondence analysis with pandas

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


Please refer to the usage notes and this illustrated ipython notebook.


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.

  • 1.01 (2015-03-23)

    More documentation, in the form of an ipython notebook. Fixed bug #2 affecting python 2.x

  • 1.02 (2017-07-29)

    Fixed division-by-zero bug (issue #14)

  • 1.03 (2018-01-10)

    Added sparse matrix support

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