The data-science package isn't focused on the table (or data frame) 
structure (it uses lists of lists) but it includes tooling that is useful 
for working with data stored in that type of structure such as "split -> 
apply -> combine", column indexing, subsetting, grouping, and aggregating.

https://github.com/n3mo/data-science

In particular, I find the documentation for that package very approachable 
for people coming from R/Matlab.



On Friday, February 22, 2019 at 5:47:33 AM UTC-8, Sam Tobin-Hochstadt wrote:
>
> Bitbucket should work fine with the package system -- just provide the 
> URL for the git repository as the source and everything should be good 
> to go. 
>
> Sam 
>
> On Fri, Feb 22, 2019 at 8:14 AM Matt Jadud <ma...@jadud.com <javascript:>> 
> wrote: 
> > 
> > On Thu, Feb 21, 2019 at 2:59 PM <jackh...@gmail.com <javascript:>> 
> wrote: 
> >> 
> >> 
> >> - Tables, which are like a list of records that all have the same 
> keywords. Tables are similar to dataframes and are intended to make it easy 
> to process spreadsheet-like data such as CSV files. Example: 
> >> 
> > 
> > Everyone must be thinking the same things these past few months... 
> > 
> > https://bitbucket.org/jadudm/data-table 
> > 
> > I have been looking at Pyret's interface to tables, as well as the 
> data-frame package in the Racket pkg collection, and R's interface to 
> dataframes. My goal is something that is syntactically/conceptually simple 
> for students to use for EDA, and potentially scales well to more 
> interesting questions involving data. In the fall, I'll be doing work with 
> students around environmental sensing as part of their coursework, and I 
> want something for working with data that fits into the HtDP approach to 
> introducing students to thinking about designing programs. 
> > 
> > Right now, I'm still exploring, and haven't made significant progress on 
> documentation, largely because I've just lifted the library to a point that 
> I can start using it myself for some experimentation with data in a project 
> of my own. This has illustrated some things that are missing, are not as 
> clean as they could be, etc., so I'm going to circle around again on the 
> library as I explore. My thinking is that if I can simplify the interfaces 
> and operations on a project with a heavy data lift, I might be heading in 
> the right direction for small data projects as well. 
> > 
> > At the moment, I can import public spreadsheets from Google, slurp in 
> MySQL tables, SQLite tables, and CSV files. Although proprietary, I'll 
> probably add support for Airtable as an input as well, and will eventually 
> look at some of the MQTT dashboards for IoT (eg. io.adafruit.com). I have 
> not tested the living daylights out of the library, but nascent tests are 
> proceeding with development to watch for regressions as I explore. I can 
> insert, select, and sieve (filter) from tables, as I like the nomenclature 
> that Pyret uses for tables; I'm borrowing their ideas for the interface to 
> table operations for now. 
> > 
> > I like the interface you've proposed for quickly specifying columns 
> (although the rationale for keywords is unclear to me), but I'd personally 
> have to think about the role of types on those columns. I like Pyret's 
> sanitizers, which provide cleanliness guarantees that the user can specify, 
> thus protecting the programmer from ill-formatted data in the table. 
> > 
> > I suppose data-table is a usable library at this point, but it's highly 
> fragile while I'm working on it. However, I'm happy to push to Github as 
> well as Bitbucket (which apparently does not play well with the package 
> distribution system?), so that it can be poked at by others. 
> > 
> > Cheers, 
> > Matt 
> > 
> > 
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