When we remove all the missing values from the dataset, the number of rows is 1064, yet the variable with most missing values has 1089 rows. Why did the number of rows decrease so much?
- Because rows with missing values as well as rows with 0s are removed
- Because the missing values in each column are not necessarily in the same row
- Because rows with missing values as well as rows with duplicate values are removed
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