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Exercise

Dropping missing values

Dropping missing values is the simplest way of handling them. While it sometimes makes sense to replace them, other times it is better to drop them altogether. In this exercise, you'll be working with the wages dataset, which contains missing values in all columns. So let's drop them all! Or not…

The wages dataset and the DataFrames package have been loaded for you.

Instructions 1/2

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  • 1
    • Drop all missing values from the wages dataset in place.
    • Print the result of describe() and size() to check your work.
  • 2
    • Drop missing values only from the effective_min_wage_2020_dollars, mutating the original DataFrame.