Integrate with tabular functionality

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Hi @dstansby ,

I was recently discussing with @zoccoler about how to further improving napari-matplotlib. One thing that appeared to be a natural extension for plotting functionality would be the support for some sort of tabular interaction: Clicking on column heads could trigger the display of feature scatter/histogram plots, similarly for metadata. We could introduce standardized column headers (`label` already exists) such as `frame` for the time dimension, etc.

Now such things obviously already exist (e.g., in the scope of [napari-spreadsheet](https://www.napari-hub.org/plugins/napari-spreadsheet)) and it would be superfluous effort to create this functionality from scratch. Another place where tabular functionality exists (and is actively used) is [napari-skimage-regionprops](https://www.napari-hub.org/plugins/napari-skimage-regionprops) (see [code here](https://github.com/haesleinhuepf/napari-skimage-regionprops/blob/master/napari_skimage_regionprops/_table.py)).

## Pitch:

In order to make the most of both functionality (current napari-matplotlib and table from napari-skimage-regionprops), we suggest to join efforts and merge these two pieces of code under one hood. This would greatly enhance the reach of napari-matplotlib, its usability and spread the effort of maintenance over more shoulders.

Would love to hear your thoughts!

Also tagging @haesleinhuepf as the maintainer of napari-skimage-regionprops

Beginne mit der Überprüfung der bestehenden napari-matplotlib-Plotfunktionalität und der referenzierten Implementierung von napari-skimage-regionprops/_table.py. Kläre, ob das Ziel die Code-Integration, standardisierte Spaltenüberschriften oder Interaktionen mit napari-spreadsheet sind; abgeschlossen wäre dies mit einem vereinbarten Umfang und einem expliziten Integrationsplan.

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