QuaDS

Qualitative/quantitative Descriptive Statistics is a Python implementation of the catdes() function from the FactoMiner R package with extras.

Installation

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:

pip install -r requirements.txt

Usage

You have to put your data files in the case : /data You have to say in the config_file.yml the different parameters :

• directory of data and results
• names of datafile, and output files
• separator of your datafile
• presence of an index in your datafile
• list of qualitative variables names
• list of quantitative variables names
• cluster variable
• different thresholds of the tests
• colors of the visual output

descriptives statistics :

python3 scripts/launch_quads.py

Visuals

When you have your tables support and you want to see the visualisation

python3 scripts/visualisation.py

Deactivation of conda

You have finish to use the pipeline.

conda deactivate