# Example 11 - verbose

**URL:** <https://discourse.flucoma.org/t/example-11-verbose/658>\
**Category:** Pre-Release Toolbox2 Usage\
**Created:** [September 25, 2020, 7:43pm UTC](https://discourse.flucoma.org/t/example-11-verbose/658 "2020-09-25T19:43:51Z")\
**Posts on this page:** 1\
**Showing post:** 23

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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:** [October 4, 2020, 4:43pm UTC](https://discourse.flucoma.org/t/example-11-verbose/658/23 "2020-10-04T16:43:53Z")

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> [@tremblap](#):
>
> that is not yours to pick… buffers are interleave they way they are 🙂 you can do an expensive transposition of the matrix if you want but that is not useful.

Wait, you lost me here.  
I mean, once I have the flattened points in the dataset, to `addcolumn` out the specific bits of information I want. So rather than taking the first four, taking the first two, then wherever the next two happen to fall (I’ll have to do “indices math” to figure that out).

Are you saying that’s not possible and/or expensive?  
Or are you saying something else?

Or more specifically, are you taking the first four columns in the ‘loudness’ dataset because you think those are four useful dimensions to take, or because they are the first four?

> [@tremblap](#):
>
> as I keep saying, keep using entrymatcher until it does not satisfy you. then you will be able to think differently about your problem.

Part of this is to show potential use cases, and where they may be problematic given the interface/structure. From [my testing a while back](https://discourse.flucoma.org/t/biasing-a-query/506), using `fluid.datasetquery~` on anything over a few points was already \>10ms, and for the more “real-world” version test example I built, it was \>30ms.

So I want to be able to build exactly I want to do, potentially with several steps of `fluid.datasetquery~`, along with `fit`-ing a `fluid.kdtree~` at the bottom, to see what the actual cost is for real-time use.

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