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I see that the main work that was done to make Vega scalable was to precompute the data (i.e. move calculations into the backend) instead of doing it in transforms. Does this solution help if I need to visualize a large number of data points? (e.g. 500k dots)
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aerlaut
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What's the idea behind this?
What's the idea behind the scalability?
Sep 13, 2022
Thanks for asking. We are focusing on interactive scalability. If you want to show large datasets, I recommend using aggregation (as we do here) or the (experimental) WebGPU renderer: https://github.com/vega/vega-webgpu.
I see that the main work that was done to make Vega scalable was to precompute the data (i.e. move calculations into the backend) instead of doing it in transforms. Does this solution help if I need to visualize a large number of data points? (e.g. 500k dots)
The text was updated successfully, but these errors were encountered: