Jun 22, 2013 · We demonstrate Stat! -- a visualization and analytics environment that allows users to rapidly experiment with exploratory queries over big data ...
This work demonstrates Stat! Exploratory analysis on big data requires us to rethink data management across the entire stack -- from the underlying data ...
We demonstrate Stat! -- a visualization and analytics environment that allows users to rapidly experiment with exploratory queries over big data. Data ...
Stat!: an interactive analytics environment for big data. - dblp
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Bibliographic details on Stat!: an interactive analytics environment for big data.
Jun 1, 2013 · Data scientists can use Stat! to quickly refine to the correct query, while getting immediate feedback after processing a fraction of the data.
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Stat! an interactive analytics environment for big data. M Barnett, B Chandramouli, R DeLine, S Drucker, D Fisher, J Goldstein, ... Proceedings of the 2013 ACM ...
In this paper, we present Northstar, the Interactive Data Science. System, which we have developed over the last 4 years to ex- plore designs that make advanced ...
New user interfaces can transform how we work with big data, and raise exciting research problems that span human-computer interaction, machine learning, and ...
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Book overview. The latest edition of this manual provides documentation for users of the statistical software system S.
Missing: big | Show results with:big
Feb 9, 2024 · This versatile, big data analytics tool helps you collect, model, analyze, and visualize data. With its integrated notebook environment and ...
Missing: Stat | Show results with:Stat