Chaining chocolates
Remember all the reasons why piping is useful? Let's see them in action!
You'll be working with the chocolates DataFrame.
chocolates contains, among others, the following columns important for this exercise:
cocoa_percent, containing the cocoa percentage as a string, e.g.,"65.5%";location, containing the country where the chocolate was manufactured;bean_location, containing the country where the chocolate bean was grown;rating, containing the average customer rating of the chocolate.
DataFrames, Statistics, Chain, and Plots packages have been loaded for you with the using keyword.
Deze oefening maakt deel uit van de cursus
Data Manipulation in Julia
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
select(chocolates, :company, :cocoa_percentage, :rating)
# Rewrite the previous code as a macro
@chain ____ ____
select(____, ____, ____)
end