Yep, excellent idea. I’ve added the ’tabular’ tag to csv-writing.

John

> On Mar 15, 2019, at 3:24 AM, jackhfi...@gmail.com wrote:
> 
> I think we should all work towards making our existing code in this area more 
> discoverable, so we can get a better sense of what libraries for working with 
> tables exist in the wild. To those of you who own Racket packages that 
> provide any functionality related to data tables: I recommend adding the 
> "tabular" tag to your package's description in the package catalog. There's 
> no need to remove more-specific tags (like "data-frame") from your package, 
> but even if you have a more specific tag please include the general "tabular" 
> tag so it's easy to search for your package. So far there's only 3 packages 
> tagged with "tabular" (and one of those is a package of mine that I just 
> tagged while writing this post). I see several packages that are good 
> candidates for the tag:
>       • data-frame
>       • sqlite-table
>       • table-panel
>       • tabular
>       • rml-core (maybe?)
>       • sinbad
>       • spmatrix (maybe?)
>       • spreadsheet-editor
>       • csv
>       • csv-reading
>       • csv-writing
>       • simple-csv
>       • Most things with the "sql" tag
> The more packages we have tagged and documented, the easier it will be to 
> find real code using tables in the wild. Which is information we'll need if 
> we want to understand how a standard `racket/table` API might look.
> 
> On Thursday, March 14, 2019 at 10:28:41 AM UTC-7, Ryan Kramer wrote:
> On Thursday, March 14, 2019 at 12:26:39 AM UTC-5, Alex Harsanyi wrote:
> 
> There are now several projects announced on this list, all of them deal with
> data analysis on one way or the other.  Would it be possible to join forces
> and merge these projects so that we end up with one library that servers
> multiple purposes equally well?  Something where the final product is greater
> than the sum of its parts...
> 
> Or perhaps these libraries have aims that are so different from each other
> that the only thing they share is a very abstract concept of "table"?
> 
> I think my project "plisqin" is one of those you are thinking of. Matt's 
> "tbl" is also one. I'm also keeping an eye on Ryan's "sql". Are there any 
> more you were thinking of?
> 
> Regarding joining forces/merging these projects, this is a good question that 
> I think warrants discussion. So I'll share my thoughts.
> 
> Obviously I can't speak for all of us, but right not I only see the "very 
> abstract concept of "table"" as potential shared code. (Also, learning about 
> snip% earlier in this thread was awesome. I'd love to use something like that 
> in my project.)
> 
> I think the differences between plisqin and tbl are fairly obvious - plisqin 
> is an alternative to SQL while tbl is an alternative to "Python/NumPy/SciPy, 
> or R/Tidyverse (or, horrors, plain R)"
> 
> Now comparing Ryan's sql to plisqin is a different story. These projects are 
> both alternatives to SQL. But I think there is enough difference between our 
> approaches and scope to warrant separate projects, at least for now.
> 1) sql seems to be mostly implemented as macros. plisqin is mostly 
> implemented as procedures.
> 2) plisqin has some design decisions that some might consider "too much 
> magic", namely inline joins and "inject-able aggregates" (need better name) 
> as documented here: https://docs.racket-lang.org/plisqin/intro.html. Whereas 
> sql-the-package seems to more closely mirror SQL-the-language - it would be 
> difficult to surprise yourself with the SQL you generate.
> 3) I am trying to design #lang plisqin so that people with no Lisp experience 
> can use it. (Whether I will succeed is another matter...)
> 
> I apologize to Ryan C if I have mischaracterized sql. I'd like to have a 
> longer conversation about this, but maybe this list is not the right place. 
> (Also, Ryan, if you think our goals are more similar than I do, I'd be happy 
> to work with you. You're definitely a more experienced Racketeer and it would 
> surely boost my code quality.)
> 
> - Ryan Kramer
> 
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