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.
Cet exercice fait partie du cours
Data Manipulation in Julia
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
select(chocolates, :company, :cocoa_percentage, :rating)
# Rewrite the previous code as a macro
@chain ____ ____
select(____, ____, ____)
end