ExpandingMan

To give you an example of where it comes up: I decided that I wanted to convert all `NaN`s to `Nullable{Float64}()` for the sake of consistency. To do this without...

I think #185 is a good example. Suppose I want to run through a dataframe, determine which rows are null, and then do something. For example ``` f(x) = isnull(x)...

Hm. I'm trying to think if there is some deeper reason why you should never lift. For the record, if `isnull` returns an `AbstractVector{Bool}`, to replace nulls you can do...

I take it the new `NA` would be a wrapper like `Nullable` so as to avoid the current type stability issues with DataArrays?

Sorry, somehow I missed your response until now. I had not realized when I opened this issue that `skipmissing` is not an `AbstractArray`. Now that I'm thinking about it, I...

I just wanted to step in and mention that I discovered this package today, it looks quite nice, but I think lack of documentation is going to make it quite...

I haven't been playing with this lately, as I was hoping to hear some feedback before I put a lot of work into a big PR, however I remain heavily...

In regard to shape, I don't feel I know what the right answer is, but I do find it super annoying that there's basically no way to do a shape-preserving...

One possibility which I think would be non-breaking is ```julia struct GroupBy{K, R, IR, T}

We hit another issue today which is related to this but not the same, see [here](https://github.com/dmlc/XGBoost.jl/pull/159#issuecomment-1382459040) and [here](https://github.com/JuliaAI/MLJXGBoostInterface.jl/pull/30). I propose that always storing all parameters, while perhaps having noble intention,...