Inspiration

Dive is a tool for interactively exploring large numbers of data points at once.

What it does

Dive provides an interactive interface for exploring the relationship between data points across all of the different features of a dataset. Each individual item in the visualization represents a data point. Position items by "faceting" or bucketing them in multiple dimensions by their feature values. Success stories of Dive include the detection of classifier failure, identification of systematic errors, evaluating ground truth and potential new signals for ranking.

How I built it

Challenges I ran into

Accomplishments that I'm proud of

What I learned

What's next for Facets-Dive

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