Users of R will be aware of the success of data frames when employed in analyzing datasets, a success which has been mirrored by Python with the
pandas package. Julia too adds data frame support through use of a package
DataFrames, which is available on GitHub, in the usual way.
The package extends Julia's base by introducing three basic types:
NA: An indicator that a data value is missing
DataArray: An extension to the
Arraytype that can contain missing values
DataFrame: A data structure for representing tabular datasets
It is such a large topic that we will be looking at data frames in some depth when we consider statistical computing in Chapter 4, Interoperability.
However, to get a flavor of processing data with these ...