Data Science and Machine Learning with R - Vectors: Coercion

Data Science and Machine Learning with R - Vectors: Coercion

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial explains coercion in R, distinguishing between implicit and explicit coercion. It provides examples of how R automatically converts data types in certain contexts and demonstrates explicit coercion using 'as' functions. The importance of experimentation and testing in understanding coercion is emphasized.

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4 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the result of coercing a numeric value into a character string?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the concept of coercion with an example involving the number 2 and a logical value.

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the potential complications of relying on implicit coercion?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

How does R treat character strings that represent logical values when importing data?

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