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BOURBEILLON Julie
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# QuaDS
Qualitative/quantitative Descriptive Statistics is a Python implementation of the [catdes()](http://factominer.free.fr/factomethods/description-des-modalites.html) function from the [FactoMiner R package](http://factominer.free.fr) with extras.
In order to use the pipeline you first of all have to `clone` the git
repository or download it.
The pipeline has been written for Python 3.9.
You have to create a Python environment to run the pipeline.
conda create -n environment_quads
conda activate environment_quads
conda install python=3.9
It relies on several libraries which are listed in the `requirement.txt` file.
Alternatively the dependencies can by installed using pip:
You have to put your data files in the case : /data
python -m scripts.gower5
python -m scripts.gower6
python -m scripts.gower7
for semantic distance :
python -m scripts.semantic5
python -m scripts.semantic6
python -m scripts.semantic7
python -m scripts.genetic_groups
## Visuals
When you have your tables support and you want to see the visualisation
for gower distance :
python -m scripts.visu_gower5
python -m scripts.visu_gower6
python -m scripts.visu_gower7
for semantic distance :
python -m scripts.visu_semantic5
python -m scripts.visu_semantic6
python -m scripts.visu_semantic7
for genetic groups :
## Deactivation of conda
You have finish to use the pipeline.
conda deactivate