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You're reading from  The Statistics and Machine Learning with R Workshop

Product typeBook
Published inOct 2023
Reading LevelIntermediate
PublisherPackt
ISBN-139781803240305
Edition1st Edition
Languages
R
Concepts
Machine Learning
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Author (1)
Liu Peng
Liu Peng
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Liu Peng

Peng Liu is an Assistant Professor of Quantitative Finance (Practice) at Singapore Management University and an adjunct researcher at the National University of Singapore. He holds a Ph.D. in statistics from the National University of Singapore and has ten years of working experience as a data scientist across the banking, technology, and hospitality industries.
Read more about Liu Peng

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Understanding the grammar of graphics

The previous example contained the three essential layers that need to be specified when plotting a graph: data, aesthetics, and geometries. The primary purpose of each layer is listed as follows:

  • The data layer specifies the dataset to be plotted. This corresponds to the mtcars dataset we specified earlier.
  • The aesthetics layer specifies the scale-related items that map the variables to the visual properties of the plot. Examples include the variables to be shown for the x axis and y axis, the size and color, and other plot aesthetics. This corresponds to the cyl and mpg variables we specified earlier.
  • The geometry layer specifies the visual elements used for the data, such as presenting the data via points, lines, or other forms. The geom_point() command we set in the previous example tells the plot to be shown as a scatter plot.

Other layers, such as the theme layer, also help beautify the plot, which we will cover later...

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The Statistics and Machine Learning with R Workshop
Published in: Oct 2023Publisher: PacktISBN-13: 9781803240305
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Liu Peng

Peng Liu is an Assistant Professor of Quantitative Finance (Practice) at Singapore Management University and an adjunct researcher at the National University of Singapore. He holds a Ph.D. in statistics from the National University of Singapore and has ten years of working experience as a data scientist across the banking, technology, and hospitality industries.
Read more about Liu Peng

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