Thanks for your answer Sander.
While I think that trying is always good, I think instead of hacking it, I 
would like to approach it theoretically and from first principles.

To give you an example, just dirty checking might be stopping. If I have 2.000 
points, will it replicate that? if I add +10 to each what will happen?
If I filter the 2.000 points by x > 10 and that would also change other 
visualisations, what will happen?

So before really going into testing/implementing it (my plan is to write a 
d3-angularised version), I want to make sure that my vision of “simplifying 
data viz coders life” with data-binding, won’t be obstructed by obvious 
implementations of angular that don’t suit this sort of problems. Therefore my 
questions above! Am I doing something wrong in using angular for Data 
Visualisation?

Thanks anyway for your valuable comment, that has definitely been a trigger for 
me to test it out anyway :)

 Nicola


On 09 Apr 2014, at 14:23, Sander Elias <[email protected]> wrote:

> Hi Nicola,
> 
> There is no straight yes or no answer to this question. The answer will 
> always be: it depends on your app!
> 2000 data points is not a problem. If you are putting a load of (heavy) 
> watches on those, it might slow down to a crawl. 
> The only thing that I can say, is you have all the knowledge to try it out. 
> You already builded stuff with (a few) datapoints. 
> extrapolate that, so you have a lot of point, and benchmark/test your stuff. 
> If it is too slow, make a plunk out of it, and come
> back here, so you can have an extra set of eyes on it. 
> In your situation it might be too much for angular, but at least you know.
> I think you might be surprised with what AngularJS can handle!
> 
> Regards
> Sander 
> 
> 
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