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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.

Acest exercițiu face parte din cursul

Data Manipulation in Julia

Vezi cursul

Exercițiu interactiv practic

Încearcă acest exercițiu completând acest cod de exemplu.

select(chocolates, :company, :cocoa_percentage, :rating)

# Rewrite the previous code as a macro
@chain ____ ____
	select(____, ____, ____)
end
Editează și rulează codul