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

2.3.2 - Log Transformation

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Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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