/covidom_analysis

Code for analyzing Covidom data

Primary LanguageJupyter Notebook

Code for analysing the Covidom database

This codebase gathers the different notebooks used to exploit the data from Covidom to uncover patterns in PCR results

How to use

Install packages from requirements.txt.

  • univariate_analysis.ipynb perform univariate analysis of testing factors and PCR results. It produces the plot from Figure 1 and 2

  • train_tree.ipynb produces Figure 3 and related decision tree figures, as well as temporal figures.

  • eval_tree.ipynb produces Figure 4.

The data from data/shuffled.csv are generated data with the same columns as those that we use for analysis -- it is therefore fake data, but can be used with our scripts.

The real data is available upon request. It has to be analysed on APHP servers.