Implement beta auto analysis

[bbengfort]

Create a module in Trinket for auto analysis (we need a good name for it). It should expose a single function or class at it's root that can be used within a celery task.

This function/class should take as input a file-like object and generic keyword arguments (**kwargs).

As output, the function should return a tuple/list whose length is the (maximum) number of columns in the dataset, and whose values contain the datatype of each column, ordered by column index.

Other stuff:

• No third party dependencies except unicodecsv and numpy.

[wleepang]

I'd like to work on this! How do I become a collaborator on the project?

[bbengfort]

Sorry, just going through all the issues now. Are you at our sprint?

On Thursday, June 2, 2016, W. Lee Pang, PhD notifications@github.com wrote:

I'd like to work on this! How do I become a collaborator on the project?

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[wleepang]

Unfortunately, I had to leave the conference before the sprints.

[wleepang]

Would you be opposed to using pandas for this?

[bbengfort]

not necessarily, though I think messytables does a better job than pandas. Not sure if we're ready for the pandas dependency or not. I'd hold off on this though - it seems like someone is working on it.

[rebeccabilbro]

See issue #14 - research will be needed to proceed with this issue. Once completing #14 (and possibly just ripping the messytables implementation, close and proceed with this one.