Visualization-Aware Sampling

You have billions of data points, but are you frustrated simply because they are just too big to visualize? This is a common problem we encounter when we work with large databases: my dataset is simply too big to interactively explore and gain useful insights from them.

Our proposed approach, Visualization-Aware Sampling (VAS), makes the interactive visualization of big data possible by reducing the number of data points but minimizing the quality loss stemming from the data reduction process.

Find more on our VAS demo page.

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