# Fluid.datasetplot~ abstraction for 2D/3D visualization

**URL:** https://discourse.flucoma.org/t/fluid-datasetplot-abstraction-for-2d-3d-visualization/783
**Category:** Pre-Release Toolbox2 Code Sharing
**Created:** [February 20, 2021, 1:40am UTC](https://discourse.flucoma.org/t/fluid-datasetplot-abstraction-for-2d-3d-visualization/783 "2021-02-20T01:40:40Z")
**Posts on this page:** 1
**Showing post:** 20

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### Author: ![rodrigo.constanzo](https://discourse.flucoma.org/user_avatar/discourse.flucoma.org/rodrigo.constanzo/32/12_2.png) [@rodrigo.constanzo](https://discourse.flucoma.org/u/rodrigo.constanzo)
#### Post date: [February 22, 2021, 1:18pm UTC](https://discourse.flucoma.org/t/fluid-datasetplot-abstraction-for-2d-3d-visualization/783/20 "2021-02-22T13:18:50Z")

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Totally.

In my version here you feed it an arbitrary dataset and it will then do the normalizing for you (for quick/dirty viewing), but that’s not always great as it will spread things out to 0-1 regardless of the input.

I could leave it so it expects 0 to 1 and you’re on your own to normalize too, but I wanted something that you could take a dataset, as it is, and visualize it without much faff.

edit:  
It was specifically me thinking “Ooh, I should finally try that thing that @tedmoore suggested a while back” when I realized that I can’t actually do that with the abstraction as it was before.

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