Version 0.11.2

• Fix readtable in the presence of missing values.
• Use CodecZlib instead of GZip for readtable.
• Add one-argument version of allowmissing! to change all columns to accept missing values.
• Deprecate pipelining with |> and currying functions.
• Correct docstring for combine.
• Fix unstack in some special cases.
• Fix hcat between a vector as first argument and a DataFrame as second argument.
• Fix Julia 0.7 deprecations.

Version 0.11.1

• Fix DataStreams allocate with CategoricalString.

Version 0.11.0

This is a breaking release. Deprecations are in place where possible, but code will need to be adjusted to work with the new framework. Changes:

• NA (from the DataArrays package) has been replaced with missing (from the Missings package, and soon in Julia Base).
• Columns are no longer converted to DataArray: do it manually if you want to use this type, or use Vector{Union{T, Missing}}. PooledDataArray should be replaced with either CategoricalArray or PooledArray.
• Modeling features have been moved to the StatsModels package.
• readtable and writetable habe been deprecated in favor of CSV.read and CSV.write from the CSV package.
• Joining and grouping algorithm has been improved to be faster and no longer fails when number of groups is too high.
• complete_cases(!) functions have been rework and new dropnull(!) functions added.
• Concatenation code has been reworked, with better error messages.
• The manual has been improved.
• Printing has been improved.
• And many other fixes and improvements.

Version 0.10.1

Fixed Compat UTF8String deprecation warnings. (#1203)

Replaced all instances of Compat.UTF8String with String.
NOTE: Compat deprecated UTF8String when it dropped julia-0.4 support.

v0.10.0

Move describe code for Arrays out of DataFrames (#1185)

v0.9.1: Fix handling of non-Int row indices (#1177)

Non-Int row-indices were not being correctly converted to Int.

- explicit conversion to Vector{Int}
- test-cases added

v0.9.0

Support for Julia 0.6. Julia 0.4 support dropped.

Version 0.6.6

• Deprecates array(df, ...) in favor of convert(Array, df, ...) ([#806])
• Deprecates DataArray(df, T) in favor of convert(DataArray{T}, df) ([#806])

DataFrames v0.6.2

Merge pull request #785 from JuliaStats/desc

Accept AbstractVector in describe()

DataFrames v0.6.1

Merge pull request #766 from JuliaStats/concat

Track Julia 0.4 Array concatenation syntax