Plot data distribution

[kat-leen]

New plot of the data/ground truth distribution based on the one made by @bowni for the reference scenarios.

Changes :

• The figure was entirely rebuilt with seaborn.
• We can visualize both the real ground truth distribution and the corrupted one if there is any corrupted partner.
• We can now display the plot after the scenario creation.
• The plots were added in the notebook of the reference scenarios.
• The code is divided into two parts, one in the Scenario class and the other one (more independent) in utils. But is it really relevant? I'm not sure whether it can be reused for something else or not.
• The documentation was updated.

[codecov-commenter]

Codecov Report

Merging #353 (e9851c7) into master (eb20b80) will increase coverage by 0.38%.
The diff coverage is 96.42%.

@@            Coverage Diff             @@
##           master     #353      +/-   ##
==========================================
+ Coverage   79.48%   79.86%   +0.38%     
==========================================
  Files          15       15              
  Lines        3158     3224      +66     
==========================================
+ Hits         2510     2575      +65     
- Misses        648      649       +1     

Impacted Files	Coverage Δ
mplc/scenario.py	80.39% <96.00%> (+0.87%)	⬆️
mplc/utils.py	86.71% <96.36%> (+6.03%)	⬆️
mplc/experiment.py	83.33% <100.00%> (ø)
mplc/partner.py	93.61% <100.00%> (+0.21%)	⬆️

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[bowni]

Well done @kat-leen great addition to the library for much clearer definition and execution of scenarios 👍