Re: [libreoffice-users] Charts with lots of data in Calc

Hi :)
Yes, gnumeric is a dedicated specialist spreadsheet tool.  It doesn't have to consider other apps.  
It does just one thing and does it very well.  It's only focus is on spreadsheets so it's processes 
are more streamlined for just that.  


So, Gnumeric is better than Calc at quite a few things but it's also better than Excel in those 
ways and in other ways too.


The advantage with Calc or Excel is that they are more integrated with other office apps.  Both do 
their job pretty well and for most usages do them far better than most office workers ever need.  
Yours is more of a specialists needs so Gnumeric is a better tool for you for this task.  There is 
nothing stopping you having both and you will find that Gnumeric plays well with 
LibreOffice/OpenOffice quite well.  


Regards from 

Tom :)  





> ________________________________
> From: Regina Henschel <rb.henschel@t-online.de>
> To: users@global.libreoffice.org 
> Sent: Thursday, 8 August 2013, 17:14
> Subject: Re: [libreoffice-users] Charts with lots of data in Calc
>
>
> Hi Sebastián,
>
> Sebastián Dietrich schrieb:
> > I'm making some x-y chart in Calc with a lot of data. In this moment, i
> > have some with more than 25,000 data points.
>
> Your screen has likely not more than 2000 dots width. Are you sure you 
> need 25000 data points?
>
> > It seems like Calc cannot manage these charts quickly. Each modification
> > takes a long time to be accomplished.
>
> That is true. Opening such documents is a problem too, especially with 
> xsl import filter.
>
> > I've have try these same type of chart in gnumeric and it works very fast.
> > Is this the normal functioning of calc?
> >
> > I'm running the suite LibreOffice 4.0.4 in Ubuntu, with an I7 processor.
>
> It is a shortcoming in LibreOffice and Apache OpenOffice. There exists 
> already an internal point reducing for identical points. But the problem 
> still remains. I would generate the chart from a reduced set of data 
> points with less than 10000. And never try to use 3D charts on such huge 
> set of data points.
>
> Kind regards
> Regina
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