Exercise

Detecting and excluding inaccurate data

In this lesson, you also learned that if you don't detect inaccurate data before analyzing, this data can disrupt your results.

The series table has a boolean column named is_adult, that stores whether the series is for adults or not. There is also another column, min_age, that stores the minimum age the audience should have. Unfortunately, there are contradictory values, because some rows with a TRUE value in its is_adult column have a number smaller than 18 in its min_age column.

Can you find these rows with inaccurate data?

Instructions 1/2

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Detect the series with a true value in its is_adult column that have a value smaller than 18 in its min_age column.