Library for working with tabular data in Julia using DataFrame's.

See demo/workflow_demo.jl for a basic demo of the parts of a Julian data workflow.

See demo/details_demo.jl for a more in-depth demo of the DataFrame and related types and library.

Mainly Harlan here...

TShort: I don't know if we want this here, but I'm putting it out there for review/discussion.

DataFrames fit well with Julia's syntax, but some features would improve the user experience.

Issue 485

With many functions, it would be nice to have options. options.jl is nice, but it is still clumsy from the user's point of view.

DataFrame creation would be cleaner:

d = DataFrame(a = [1:20],
              b = PooledDataVec([1:20]))

In addition, a number of existing and planned functions are calling out for optional arguments.

It'd be nice to be able to do:

    by(df[~ a > 3], ["b", "c"], ~ x_sum = sum(x); y_mean = mean(y))

A two-sided version would allow better formulas:

    lm(a ~ b)

~ is currently used as bitwise not, but it looks like it's not used much, and this could be replaced by ! or by a function.

df.col1 is nicer than df["col1"] for column access.