Null Values Quiz

5 questions Pass: 70% +25 pts

Quiz covering Profile and Clean the Data

Null Values Quiz

5 questions | Pass: 70% | Earn 25 points

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

  1. 1

    In the context of data profiling, what does a Null value represent?

  2. 2

    You are cleaning a dataset where the 'Product Weight' column has 5% missing values. The data is normally distributed without significant outliers. Which imputation method is generally preferred to maintain the distribution's central tendency?

  3. 3

    While profiling a customer database, you notice that the 'Middle Name' column is 70% null. How should you interpret this from a business logic perspective?

  4. 4

    What is the primary risk of using 'Listwise Deletion' (removing any row that contains at least one null value) on a dataset where nulls are not missing at random?

  5. 5

    You are preparing a dataset for a machine learning model. The 'Discount Code' column is missing 92% of its values. Based on best practices for data cleaning, what is the most appropriate action?