Data Science and Machine Learning with R - Aesthetics Mappings

Data Science and Machine Learning with R - Aesthetics Mappings

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial covers the use of ggplot2 in R for data visualization, emphasizing its importance and providing a step-by-step guide to creating basic plots. It explains the concept of aesthetics, including how to map variables to visual properties like color, size, alpha, and shape. The tutorial also demonstrates examples of aesthetic mappings and discusses non-aesthetic styling options for plots.

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10 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the primary package used for data visualization in R?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the difference between ggplot and ggplot2.

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What are some common aesthetics that can be mapped in ggplot2?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of the AES function in ggplot2?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of the displacement variable in the context of the MPG dataset?

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe how to map a variable to the color aesthetic in a ggplot.

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

How can you customize the legend in a ggplot?

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