Transform Columns Quiz

5 questions Pass: 70% +25 pts (50 with Pro)

Quiz covering Transform and Load the Data

What you'll be asked

  1. When transforming data, what is the primary purpose of renaming columns?
  2. You have a column containing full names (e.g., 'John Doe'). You need to split this into two separate columns: 'First_Name' and 'Last_Name'. Which transformation technique is most appropriate?
  3. Why is it important to standardize date formats across a dataset during the transformation phase?
  4. If you are applying a 'Categorical Encoding' transformation to a column containing 'High', 'Medium', and 'Low' values, what is the best practice to maintain the inherent order?
  5. You are performing a complex transformation where you need to calculate a new column 'Profit_Margin' based on existing 'Revenue' and 'Cost' columns. If the 'Cost' column has missing values, how should you handle this to prevent the calculation from failing or producing inaccurate results?

Answers and explanations come after you submit.