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Data Analysis Cleaning and Preparing Data Handling Bad Data Fixing or Excluding Data

Fixing or Excluding Data: quiz question -- best option for removing all missing data from the dataset

Hi. The question is:

Consider this table of high school class information. What is the best option for removing all missing data from the dataset?

The answer is to remove the two columns, Room and Student.

I'm curious, could you help me understand why this would be done, rather then the particular rows?

Thanks

1 Answer

Steven Parker
Steven Parker
231,269 Points

There are similar questions that show different example datasets, and they have different answers. The one for which this answer is correct shows a dataset where most rows are missing either the Students or Room data, so removing the affected rows would eliminate more of the dataset. And since no other columns are missing any data, this makes removing those columns the better choice.

In a different question the sample shows fewer rows with missing data, but with more columns missing in each row, so the best choice on that question is to remove the affected rows.