Data Science and Machine Learning with R - Working with Factors

Data Science and Machine Learning with R - Working with Factors

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial provides an in-depth look at factors in R, explaining their importance and how they are used to manage categorical data. It covers the definition of factors, practical examples, and advanced manipulation techniques. The tutorial also introduces the Forecasts package, which simplifies working with factors in R. By the end, viewers will understand how to define, manipulate, and utilize factors effectively in data analysis.

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4 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

How can you specify the order of levels in a factor?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of the 'unique' function in relation to factors?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

Discuss the potential issues when importing data into R regarding factors.

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the 'forecasts' package enhance the handling of factors in R?

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