Visualize and compare data in a scalable way and a beautiful style.

• Installation and documentation: https://plothist.readthedocs.io/
• Image gallery: https://plothist.readthedocs.io/en/latest/example_gallery/

Advantages of the package: scalability, style and user-friendly way of managing variables and a stunning image gallery.

1. First idea: default style is already presentation-ready and/or publication-ready (with no effort).
2. Second idea: separate the histogram creation from its plotting. This allows to easily manage histogram objects (defined in the boost_histogram package) and plot large amount of variables and data really fast.
3. Third idea: visualize a lot of variables easily with a variable manager. Really easy to modify the plotting information and make multiple plots of the same variable with different settings.
4. Fourth idea: detailed and user-friendly documentation including a marvelous gallery of examples.