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        "author": "OlivierGarciaDev",
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        "description": "# fanalysis\n\nfanalysis is a Python module for Factorial Analysis distributed under the 3-Clause BSD license.\n\nWith this fanalysis package, you can perform:\n- Simple Correspondence Analysis\n- Multiple Correspondence Analysis\n- Principal Components Analysis\n\nThose statistical methods can be used in two ways:\n- as descriptive methods (\"datamining approach\")\n- as reduction methods in scikit-learn pipelines (\"machine learning approach\")\n\n## Installation\n\n### Dependencies\n\nfanalysis requires:\n\n    Python 3\n    NumPy >= 1.11.0\n    Matplotlib >= 2.0.0\n    Scikit-learn >= 0.18.0\n    Pandas >= 0.19.0\n\n### User installation\n\nYou can install fanalysis using pip:\n\n    pip install fanalysis\n\n## Running the tests\n\nAfter installation, you can launch the test suite from outside the source directory:\n\n    python -m unittest\n\nThe philosophy of the unit tests consists in comparing the outputs of fanalysis (with various combinations of parameters) with the outputs of the R FactoMineR package.\n\n## Documentation\n\nThe docstring is written in english.\n\nTutorials are available in french:\n\n    https://github.com/OlivierGarciaDev/fanalysis/blob/master/doc/ca_tutorial.ipynb\n    https://github.com/OlivierGarciaDev/fanalysis/blob/master/doc/mca_tutorial.ipynb\n    https://github.com/OlivierGarciaDev/fanalysis/blob/master/doc/pca_tutorial.ipynb\n\n## Author\n\nOlivier Garcia (o.garcia.dev@gmail.com)\n\n\n",
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