Julia: High Performance Programming

Data arrays and data frames

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 Array type 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 ...