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Appendix A JMP Starter 409
The Graph Category
current data table. The Scatterplot 3D platform displays three variables at a time from the
columns you select.
To help capture and visualize variation in higher dimensions, the Scatterplot 3D platform
displays a biplot representation of the points and variables when you request principal
components.
See the JMP Statistics and Graphics Guide for details about three-dimensional scatterplots.
Contour Plot Clicking the Contour Plot button, or choosing Graph > Contour Plot, and
making your selections in the window constructs a contour plot for a response variable, y, for the
values of two x variables. A contour plot requires two variables for the x- and y-axes and a third
variable (denoted y in the Contour Plot window) for contours.
Parallel Plot Clicking the Parallel Plot button, or choosing Graph > Parallel Plot, draws a
parallel coordinate plot, which shows connected line segments representing each row of a data
table.
Cell Plot Clicking the Cell Plot button, or choosing Graph > Cell Plot, produces a rectangular
array of cells drawn with a one-to-one correspondence to data table values.
Tree Map Clicking the Tree Map button, or choosing Graph > Tree Map, displays tree maps,
which can be thought of as bar charts that have been folded over in two dimensions, leaving no
unused space. It is useful when there are a lot of categories. Tree maps are a graphical technique
of observing patterns among groups that have many levels. They are especially useful in cases
where histograms are ineffective.
Bubble Plot Clicking the Bubble Plot button, or choosing Graph > Bubble Plot, displays a
scatter plot which represents its points as circles (bubbles). The bubbles can be sized according to
a another column, colored by another column, aggregated across groups defined by one or more
other columns, and dynamically indexed by a time column. With the opportunity to see up to
five dimensions at once (x position, y position, size, color, and time), bubble plots can produce
dramatic visualizations and make interesting discoveries easy. You can also create a Flash (.swf)
version of the Bubble Plot.
See the JMP Statistics and Graphics Guide for details about bubble plots.
Scatterplot Matrix Clicking the Scatterplot Matrix button, or choosing Analyze > Multivariate
Methods > Multivariate, explores how multiple variables relate to each other and how points fit
that relationship. This platform helps you see correlations between two or more response (y)
variables, look for points that are outliers, and examine principal components to look for factors.
Ternary Plot Clicking the Ternary Plot button, or choosing Graph > Ternary Plot, creates
ternary plots, which display the distribution and variability of three-part compositional data.
Examples of compositional data are the proportion of sand, silt, and clay in soil, or the
proportion of three chemical agents in a trial drug. You can use data expressed in proportions, or
in absolute measures. The ternary plot platform converts absolute values to proportions.
The ternary plot in JMP also has a contour feature, which means you can use a response measure
at each point to form a contour plot within the ternary structure.
See the JMP Statistics and Graphics Guide for details and examples of ternary plots.
Histograms Clicking the Histograms button, or choosing Analyze > Distribution, lets you
construct an analysis that shows a distribution of values with histograms and other graphical and
textual reports.
AThe JMP Starter