1. Descriptive Statistics

Data Cleaning — Quiz

Test your understanding of data cleaning with 5 practice questions.

Practice Questions

Question 1

Which of the following is a key step in data cleaning that involves identifying and addressing inconsistencies in data formats or values?

Question 2

When dealing with a dataset where a numerical variable has values that are clearly outside the expected range (e.g., negative ages), what is the most appropriate initial action during data cleaning?

Question 3

A dataset contains a variable 'Temperature' with entries in both Celsius and Fahrenheit, but without a clear unit indicator. What data cleaning technique is most suitable to ensure consistency?

Question 4

If a dataset has a column 'Customer ID' where some entries are missing, and these missing values are not random but systematically absent for a specific group of customers, what type of missing data is this likely to be?

Question 5

When preparing data for statistical analysis, what is the primary benefit of converting categorical variables into numerical representations (e.g., using one-hot encoding or label encoding)?