Missing anything?

Missing values bring problems when you analyze data. It is a good idea to check whether your DataFrame contains any missing data and, if yes, then how many. What columns contain missing data also affects how you treat them. Let's find out all about missing data for our DataFrame!

You look at the US Minimal Wages dataset, containing historical data about minimum wages for US states and territories. However, the dataset got corrupted, and it might contain missing data. The dataset has been loaded for you as wages, and the DataFrames package has been loaded with the using keyword.

What is the correct answer?

Possible answers

The maximum number of missing values is 11.

There are two columns without any missing values.

The Year column has the most missing values.

Exercise

Missing anything?

Instructions

Possible answers