Very impressed to see the confusion matrix consist of the actual images in that deep zoom style rendering. We've implemented something similar in spirit in some image processing machine learning application but instead I have a traditional confusion matrix with counts that are "<a>" anchor links to a webpage that displays all the constituent images. Nice work Facets team.
I particularly like this language here...
"Dive is a tool for interactively exploring up to tens of thousands of multidimensional data points, allowing users to seamlessly switch between a high-level overview and low-level details. ...Dive makes it easy to spot patterns and outliers in complex data sets."
https://github.com/pair-code/facets#facets-dive
That's key functionality to drill into our data with powerful navigable dashboards and visualization tools. We're creating this seamless transition with some Python and Flask and Bokeh tooling but nothing as impressive is Facets. But we've cued in all the domain specific things of interest, but it's nice to see a general purpose feature set on display with Facets.
I particularly like this language here... "Dive is a tool for interactively exploring up to tens of thousands of multidimensional data points, allowing users to seamlessly switch between a high-level overview and low-level details. ...Dive makes it easy to spot patterns and outliers in complex data sets." https://github.com/pair-code/facets#facets-dive
That's key functionality to drill into our data with powerful navigable dashboards and visualization tools. We're creating this seamless transition with some Python and Flask and Bokeh tooling but nothing as impressive is Facets. But we've cued in all the domain specific things of interest, but it's nice to see a general purpose feature set on display with Facets.