[racket] DSL for multi-dimensional datasets?
Thanks Asumu for these links. Although the code in the paper is confusing
because I'm not familiar with R, it has given me a good insight: datasets
need to be described as dimensions and variables. I think the library
presented in the paper conflates the structure of the data as read (in a
csv file, say) with the logical structure of the dataset as a whole. (I may
be wrong on this point, but that is my reading.) I think these concepts
should be separated and similarly the the structure of a report is separate
again.
However, having given it a little thought after reading the paper, I think
there's a good way forward by describing datasets as dimensions and
variables, and then incorporating relational algebra primitives,
particularly σ, π and G (group by). I'll brush up on the Codd model and see
if that gives me any further insights.
Thanks again,
Simon.
On 6 November 2012 15:32, Asumu Takikawa <asumu at ccs.neu.edu> wrote:
> On 2012-11-06 15:22:49 +1100, Simon Haines wrote:
> > As part of my work, I frequently have to 'shape' multi-dimensional
> > datasets. This is reasonably easy to do in Racket and I'm thinking
> > about pulling together some of the functions I use into a library.
> > Before I do this though, I was wondering if there is any similar work
> I
> > can build upon, or perhaps use to guide me.
> >
> > [...]
> >
> > I haven't worked out the details yet, and I'm not sure the above will
> > work the way I want it to. But I've had a quick look at Microsoft's
> > Scientific DataSet ([1]http://sds.codeplex.com/), but it lacks the
> > composability I'm used to with Racket. Is anyone aware of any similar
> > work that does this, or that I could use as a guide?
>
> I don't know about Racket, but have you seen the 'reshape' library in R?
> It's very flexible and is probably one of the state of the art designs
> in this space.
>
> Here's a journal article describing its design:
> http://www.jstatsoft.org/v21/i12/paper
>
> and its website:
> http://had.co.nz/reshape/
>
> Cheers,
> Asumu
>
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