Hi,

If what Hanwen said is correct, and that is indeed what you want, this
sounds like a pivot operation.
We do not support pivot operations in the client side library at the moment,
but it is on our roadmap.

For now, if this is a specific usecase, and you know the exact columns, I
suspect you could write it yourself in JavaScript -- it shouldn't be very
complicated.

Regards,
     VizBoy.



On Sat, May 2, 2009 at 3:22 PM, Hanwen <[email protected]> wrote:

>
> From your data, I guess you want your data table to be like the
> following form to have 4 annotated time lines, right?
>
> date                broadcast1_sent    broadcast2_sent
> broadcast3_sent   broadcast4_sent
> Apr 28, 2009    184                       774
> 542                      553
> Apr 29, 2009    204                       180
> 384                      293
> Apr 30, 2009    230                       201
> 272                      147
>
> I don't find any APIs which could automatically transform your data to
> this kind of format,
> so maybe you have to do it by yourself with Java Script.
>
> On May 1, 3:14 am, "[email protected]" <[email protected]> wrote:
> > i have a data table with the following data:
> > date          sent            name
> > Apr 30, 2009    230             broadcast1
> > Apr 30, 2009    147             broadcast4
> > Apr 30, 2009    201             broadcast2
> > Apr 29, 2009    293             broadcast4
> > Apr 29, 2009    180             broadcast2
> > Apr 30, 2009    272             broadcast3
> > Apr 28, 2009    774             broadcast2
> > Apr 29, 2009    384             broadcast3
> > Apr 29, 2009    204             broadcast1
> > Apr 28, 2009    542             broadcast3
> > Apr 28, 2009    184             broadcast1
> > Apr 28, 2009    553             broadcast4
> >
> > How can this be made to work properly with an annotated timeline?  is
> > there a way to generate a dataview which will roll up the rows having
> > equal dates into a single row?
> >
> > Can an annotated timeline be set up to 'roll up' multiple rows having
> > the same date values?
> >
>

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