Shapash

Hotfix for handle missing data for categorical columns 490

Fix this issues : https://github.com/MAIF/shapash/issues/489 https://github.com/MAIF/shapash/issues/478 https://github.com/MAIF/shapash/issues/472

Update extra require for report pip install shapash[report] 494

Unit tests of the webapp's callbacks have been created.
In addition, a first refactoring of the Webapp is done to simplify maintenance and future developments.
463

Some fix:
455 References and modifications of self in smartapp create unwanted behavior
https://github.com/MAIF/shapash/issues/483 Bug in Webapp for filter

Remove numpy and pandas version limits.
Shapash has shap and xgboost dependencies that have been released. We no longer need to set numpy and xgboost versions.

Fix 451, 457

Hotfix for shapash and shap incompatibility with numpy versions 1.24.0 and above. We limit numpy to a version under 1.24.0.

PR 459 resolves incompatibility between shapash code and numpy.
But Issue 457 remains because of shap incompatibility with numpy.
PR 460 limits numpy versions under 1.24.0.

Hotfix for dash incompatibility with Flask versions 2.3.0 and above. We limit Flask to a version under 2.3.0.

Hotfix for pandas 2.0.0, however, we limit pandas for the moment because some tests do not pass with xgboost.

The main bug on the app with pandas 2.0.0 is fixed
[451](https://github.com/MAIF/shapash/pull/451) fix pandas version until xgboost is fixed and fix other code for pandas

Other fixes:
440 Remove data from package
441 scatter plot prediction when not enough data

We have a new tutorial and a new dataset:
443 Feature/tutorial accident