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Exercise

Dropping missing data

In this exercise, you'll remove some of the rows where certain columns have missing values. You're going to look at the length_of_time column, the state column, and the type column. You'll drop any row that contains a missing value in at least one of these three columns.

Instructions

100 XP
  • Print out the number of missing values in the length_of_time, state, and type columns, in that order, using .isna() and .sum().
  • Drop rows that have missing values in at least one of these columns.
  • Print out the shape of the new ufo_no_missing dataset.