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Visualizations for machine learning datasets

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Just tested the example code [here](https://github.com/PAIR-code/facets/blob/master/colab_facets.ipynb) running on a Databricks environment and the result is very slow. It works well on Colab on the same machine. Any ideas in how...

First of all, thank you so much for sharing this project. I am absolutely in love with Facets and so grateful for all of the work you have put into...

The package scikit-image turns out to be required in order to make use of the atlasmaker tool. So I added it to the requirements file.

When bucketing numeric values, often the buckets end at numbers with long decimal places. Can we instead round the labels to a cleaner value that still fits within the data...

As in every example - the visualisations are there, Is it also possible to have the count of each block somewhere, eg True positives and all. Thanks.

Can be fixed by making sure stats is not null before using it in _hasWordTree ` Uncaught TypeError: Cannot read property '' of undefined at HTMLElement._hasWordTree (iris_demo.html:54059) at HTMLElement._shouldShowOverflowMenu (iris_demo.html:54067)...

After reading through all the interesting technicalities on what the **facets** is I decided to try it on one of my datasets and realized that I still don't know how...

I tried loading a 65.2 MB csv file into facets on Google Chrome on Ubuntu 16.04 LTS following same code as in the demo jupyter notebook. When I started loading...