Scatterplot 3D
Example 1
Summary: Generate a 3d scatterplot
Code:
// Open data table
dt = Open("$Sample_Data/Amplitude 21.jmp");
// Scatterplot 3D
Scatterplot 3D( Y( :Amplitude, :x, :y ) );
Example 2
Summary: Generate a 3d scatterplot
Code:
// Open data table
dt = Open("$Sample_Data/Cowboy Hat Template.jmp");
// Scatterplot 3D
Scatterplot 3D( Y( :x, :y, :z ) );
Example 3
Summary: Generate a 3d scatterplot
Code:
// Open data table
dt = Open("$Sample_Data/Cowboy Hat.jmp");
// Scatterplot 3D
Scatterplot 3D( Y( :x, :y, :z ) );
Example 4
Summary: Generate a 3D scatterplot using the Earth.jmp dataset with customized display settings, including the Y coordinates for :x, :y, and :z, and adjusting the frame settings to remove walls, boxes, axes, and grids while setting a black background color and specific rotation angles.
Code:
// Open data table
dt = Open("$Sample_Data/Earth.jmp");
// Scatterplot 3D
Scatterplot 3D(
Y( :x, :y, :z ),
Frame3D(
Set Wall Color( 0 ),
Set Box( 0 ),
Set Axes( 0 ),
Set Grids( 0 ),
Set Walls( 0 ),
Set Rotation( -76, -18, -88 ),
Background Color( 0, 0, 0 )
)
);
Example 5
Summary: Create a 3D scatterplot visualization for three different variables using the data from the Mail 3D dataset.
Code:
// Open data table
dt = Open("$Sample_Data/Mail 3D.jmp");
// Scatterplot 3D
Scatterplot 3D( Y( :c1, :c2, :c3 ) );
Example 6
Summary: Generate a 3D scatterplot displaying Age, Oxy, and Runtime variables from the Fitness 3D 2 dataset.
Code:
// Open data table
dt = Open("$Sample_Data/Fitness 3D 2.jmp");
// Scatterplot 3D
Scatterplot 3D(
Y( :Age, :Oxy, :Runtime )
);
Example 7
Summary: Create a 3D scatterplot analyzing the relationship between Age, Oxy, and Runtime using the Fitness 3D dataset.
Code:
// Open data table
dt = Open("$Sample_Data/Fitness 3D.jmp");
// Scatterplot 3D
Scatterplot 3D(
Y( :Age, :Oxy, :Runtime )
);
Example 8
Summary: Create a 3D scatterplot with dynamic coloring for surface quality and customized 3D frame settings.
Code:
// Open data table
dt = Open("$Sample_Data/Hardware Surface Unit Data.jmp");
// Scatterplot 3D
Scatterplot 3D(
Y( :X, :Y, :Z ),
Coloring( :surface quality ),
Frame3D(
Legend( 1 ),
Set Grab Handles( 0 ),
Set Rotation(
-131.974910853295,
-55.4597023094039,
56.3897695048096
)
)
);
Example 9
Summary: Create a 3D scatterplot showing the relationship between sepal and petal dimensions in the Iris dataset.
Code:
// Open data table
dt = Open("$Sample_Data/Iris.jmp");
// Scatterplot 3D
Scatterplot 3D(
Y(
:Sepal length, :Sepal width,
:Petal length, :Petal width
),
Frame3D(
Set Rotation(
-37.7763571468042,
-20.0181349932962,
0.755666043084993
)
)
);
Example 10
Summary: Title: Create a 3D Scatterplot with Normal Contour Ellipsoids and Nonparametric Density Contour for Different Species in the Penguins Dataset.
Code:
// Open data table
dt = Open("$Sample_Data/Penguins.jmp");
// Scatterplot 3D
Scatterplot 3D(
Y(
:Culmen Length, :Culmen Depth,
:Flipper Length
),
Coloring( :Species ),
Normal Contour Ellipsoids(
1, :Species
),
Nonpar Density Contour( 1, :Species ),
Legend( 1 ),
Frame3D(
Set Graph Size( 655, 672 ),
Legend( 1 ),
Set Grab Handles( 0 ),
Set Rotation(
-72.1900689453449,
-1.75327107936844,
34.4563606108469
)
),
SendToReport(
Dispatch( {},
"Density Contour Controls",
OutlineBox,
{Close( 1 )}
)
)
);
Example 11
Summary: Create a 3D scatterplot with coordinates from the X, Y, and Max °F Jan columns in the Pollutants Map data table.
Code:
// Open data table
dt = Open("$Sample_Data/Pollutants Map.jmp");
// Scatterplot 3D
Scatterplot 3D(
Y( :X, :Y, :Max °F Jan ),
Frame3D(
Set Grab Handles( 0 ),
Set Rotation(
24.1937619852405,
-39.6864960978558,
-7.80895767396027
)
)
);
Example 12
Summary: Generate a 3D scatterplot with Portion 0-19, Portion60+, and Year as Y-axis variables, connect lines between points, and customize the 3D frame with specific rotation, view perspective, zoom, and background color settings.
Code:
// Open data table
dt = Open("$Sample_Data/PopAgeGroupSubset.jmp");
// Scatterplot 3D
Scatterplot 3D(
Y(
:"Portion 0-19"n, :"Portion60+"n,
:Year
),
Connect Lines( 1 ),
Frame3D(
Set Rotation(
32.2919968078136,
-52.900586943001,
19.4821987530212
),
Set View Perspective( 0.1095 ),
Set View Zoom( 1.07375 ),
Background Color( 127, 127, 127 )
)
);
Example 13
Summary: Create a 3D scatterplot to visualize the relationship between six solvents using the Scatterplot 3D function .
Code:
// Open data table
dt = Open("$Sample_Data/Solubility.jmp");
// Scatterplot 3D
Scatterplot 3D(
Y(
:"1-Octanol"n, :Ether,
:Chloroform, :Benzene,
:Carbon Tetrachloride, :Hexane
)
);