Loading and saving our data

Julia comes with excellent facilities for reading and storing data out of the box. Given its focus on data science and scientific computing, support for tabular-file formats (CSV, TSV) is first class.

Let's extract some data from our initial dataset and use it to practice persistence and retrieval from various backends.

We can reference a section of a DataFrame by defining its bounds through the corresponding columns and rows. For example, we can define a new DataFrame composed only of the PetalLength and PetalWidth columns and the first three rows:

julia> iris[1:3, [:PetalLength, :PetalWidth]] 
3×2 DataFrames.DataFrame 
│ Row │ PetalLength │ PetalWidth │ 
├─────┼─────────────...