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.
本练习是课程的一部分
Data Manipulation in Julia
交互式实操练习
通过完成这段示例代码来试试这个练习。
select(chocolates, :company, :cocoa_percentage, :rating)
# Rewrite the previous code as a macro
@chain ____ ____
select(____, ____, ____)
end