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3D Plots
Author(s)
David Lane
Prerequisites
Introduction to Bivariate Data
Learning Objectives
- Describe a 3D Plot.
- Give an example of the value of a 3D plot.
Just as two-dimensional scatter plots show the data in two dimensions, 3D plots show data in three dimensions. Figure 1 shows a 3D scatter plot of the fat, non-sugar carbohydrates, and calories from a variety of cereal types.
Many statistical packages allow you to rotate the axes interactively to view the data from a different vantage point. Figure 2 is an example.
A fourth dimension can be represented as long as it is represented as a nominal variable. Figure 3 represents the different manufacturers by using different colors.
Interactively rotating 3D plots can sometimes reveal aspects of the data not otherwise apparent. Figure 4 shows data from a pseudo random number generator. Figure 4 does not show anything systematic and the random number generator appears to generate data with properties similar to those of true random numbers.
Figure 5 shows a different perspective on these data. Clearly they were not generated by a random process.
Figures 4 and 5 are reproduced with permission from R snippets by Bogumil Kaminski.
Please answer the questions:
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