well..... since it's a client based issue I can only say that this is a
function of the hardware you're using.
If you have a very large datatable the chart rendering will be the same.
You must take into account the chart type you're using, for instance, if
you're drawing a line/area chart there is no need/significance to a
datatable larger than, let's say, 2000 rows since you a large chart to see
all items. That's the same with other charts.
You can load a very large datatable, either by JSON/Ajax/Spreadsheets or
other database connections and modify/query it for chart usage, via
grouping or dataviews generation.

I, for instance, use a complex data (multi-level array) structure and
before drawing, I create a datatable with all that I need. At the end, I
managed to scale my data from 25,000 rows into 1,000. It's much more
efficient and fast.

You might want to think on your data before dropping large scale data. Just
a reminder, this is client side programming, and everything must be light
weight, even the data.




On Wed, Dec 7, 2011 at 2:14 PM, [email protected] <
[email protected]> wrote:

> Awesome work. Google always keeps us Googled.
> I would like to know how much of data can this visualization can
> support.
> Is it bench marked?
> can it support billion data ?
>
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