Practice Log Transformation - 2.3.2 | 2. Data Wrangling and Feature Engineering | Data Science Advance
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is log transformation?

💡 Hint: Think about how we handle skewed data.

Question 2

Easy

Name one type of data that can benefit from log transformation.

💡 Hint: Consider data that has extreme values.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the purpose of log transformation?

  • To increase data volume
  • To compress skewed data
  • To eliminate outliers

💡 Hint: Think about the characteristics of the data you're handling.

Question 2

True or False: Log transformation can be applied to negative values.

  • True
  • False

💡 Hint: Consider the properties of logarithmic functions.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have a dataset of house prices that are heavily skewed. Explain how you would apply log transformation and what the expected outcome would be on your regression analysis.

💡 Hint: Think about how you would represent price changes to clients.

Question 2

You encounter a dataset with many zero and negative values. How would you handle the log transformation in such a scenario?

💡 Hint: Consider what happens to logs of zero and negative numbers.

Challenge and get performance evaluation