Learning Julia

DataArray – a series-like data structure

In the previous section, we discussed how DataArray types are used to store datasets containing missing (NA) values, as Julia's standard Array type cannot do so.

There are other features similar to Julia's Array type. Type aliases of Vector (a one-dimensional Array type) and Matrix (a two-dimensional Array type) are DataVector and DataMatrix, provided by DataArray.

Creating a one-dimensional DataArray is similar to creating an Array type:

julia> using DataArraysjulia> dvector = data([10,20,30,40,50])5-element DataArrays.DataArray{Int64,1}:1020304050

Here, we have NA values, unlike in arrays. Similarly, we can create a two-dimensional DataArray, which will be a DataMatrix:

julia> dmatrix = data([10 ...