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Gallery of JMP Graphs
Various Graphs and Their Platforms
Here are pictures of many of the graphs that you can create with JMP. Each picture is labeled 
with the platform used to create it. For more information about the platforms and these and 
other graphs, see the documentation on the Help > Books menu.
Histogram
Analyze > Distribution
Bivariate
Analyze > FitYbyX
Oneway
Analyze > FitYbyX
Oneway t Test
Analyze > FitYbyX
Logistic
Analyze > FitYbyX
Mosaic Plot
Analyze > FitYbyX
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PDF Document Page Rotation in Visual Basic .NET Class Application
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Discovering JMP
Matched Pairs
Analyze > MatchedPairs
Leverage Plot
Analyze > FitModel
LS Means Plot
Analyze > FitModel
MANOVA
Analyze > FitModel
Partition
Analyze > Modeling > Partition
Neural Diagram
Analyze > Modeling > Neural
Actual by Predicted
Analyze > Modeling > Model 
Comparison
Nonlinear Fit
Analyze > Modeling > 
Nonlinear
Surface Profiler
Analyze > Modeling > 
Gaussian Process
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Discovering JMP
13
Time Series
Analyze > Modeling > 
TimeSeries
Screening
Analyze > Modeling > 
Screening
FDR pValue Plot
Analyze > Modeling > 
Response Screening
Scatterplot Matrix
Analyze > 
MultivariateMethods > 
Multivariate
Dendrogram
Analyze > 
MultivariateMethods > 
Cluster
Self Organizing Map
Analyze > 
MultivariateMethods > 
Cluster
Principal Components
Analyze > 
MultivariateMethods > 
PrincipalComponents
Canonical Plot
Analyze > 
MultivariateMethods > 
Discriminant
Loadings Plot
Analyze > 
MultivariateMethods > Partial 
Least Squares
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14
Discovering JMP
XBar and R Charts
Analyze > Quality and Process 
> Control Chart Builder
Average Chart
Analyze > Quality and Process 
> Measurement Systems 
Analysis
Variability Chart
Analyze > Quality and Process 
> Variability/Attribute Chart
Goal Plot
Analyze > Quality and Process 
> Capability
Individual Measurement Chart
Moving Range Chart
Analyze > Quality and Process 
> Control Chart > IR
XBar Chart
Analyze > Quality and Process 
> Control Chart > XBar
Pareto Plot
Analyze > Quality and Process 
> Pareto Plot
Ishikawa Chart
Fishbone Chart
Analyze > Quality and 
Process> Diagram
Compare Distributions
Analyze > Reliability and 
Survival > Life Distribution
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Discovering JMP
15
Nonparametric Overlay
Analyze > Reliability and 
Survival > Fit Life by X
Scatterplot
Analyze > Reliability and 
Survival > Fit Life by X
MCF Plot
Analyze > Reliability and 
Survival > Recurrence 
Analysis
Overlay
Analyze > Reliability and 
Survival > Degradation
Forecast
Analyze > Reliability and 
Survival > Reliability Forecast
Piecewise Weibull NHPP
Analyze > Reliability and 
Survival > Reliability Growth
Reliability Block Diagram
Analyze > Reliability and 
Survival > Reliability Block 
Diagram
Failure Plot
Analyze > Reliability and 
Survival > Survival
Survival Quantiles
Analyze > Reliability and 
Survival > Fit Parametric 
Survival
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16
Discovering JMP
Baseline Survival
Analyze > Reliability and 
Survival > Fit Proportional 
Hazards
Mixture Profiler
Analyze > Consumer 
Research > Categorical
Factor Loading Plot
Analyze > Consumer 
Research > Factor Analysis
Prediction Profile
Analyze > Consumer 
Research > Choice
Uplift Model
Analyze > Consumer 
Research > Uplift
Characteristic Curves
Analyze > Consumer 
Research > Item Analysis
Dual Plot
Analyze > Consumer 
Research > Item Analysis
Line Graphs
Graph > Graph Builder
Box Plots
Graph > Graph Builder
Discovering JMP
17
Stacked Bar Chart
Graph > Chart
Pie Chart
Graph > Chart
Needle and Line Chart
Graph > Overlay Plot
Dot and Line Chart
Graph > Overlay Plot
Three Dimensional Scatterplot
Graph > Scatterplot 3D
Three Dimensional Scatterplot
Graph > Scatterplot 3D
Contour Plot
Graph > Contour Plot
Bubble Plot
Graph > Bubble Plot
Parallel Plot
Graph > Parallel Plot
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Discovering JMP
Cell Plot
Graph > Cell Plot
Treemap
Graph > Treemap
Scatterplot Matrix
Graph > Scatterplot Matrix
Ternary Plot
Graph > Ternary Plot
Prediction Profiler
Graph > Profiler
Contour Profiler
Graph > Contour Profiler
Surface Plot
Graph > Surface Plot
Mixture Profiler
Graph > Mixture Profiler
About This Guide
Discovering JMP provides a general introduction to the JMP software. This guide assumes that 
you have no knowledge of JMP. Whether you are an analyst, researcher, student, professor, or 
statistician, this guide gives you a general overview of JMP’s user interface and features.
This guide introduces you to the following information:
• Starting JMP
• The structure of a JMP window
• Preparing and manipulating data
• Using interactive graphs to learn from your data
• Performing simple analyses to augment graphs
• Customizing JMP and special features
This guide contains six chapters. Each chapter contains examples that reinforce the concepts 
presented in the chapter. All of the statistical concepts are at an introductory level. The sample 
data used in this book are included with the software. Here is a description of each chapter:
• Chapter 1, “Introducing JMP”, provides an overview of the JMP application. You learn 
how content is organized and how to navigate the software.
• Chapter 2, “Working with Your Data”, describes how to import data from a variety of 
sources, and prepare it for analysis. There is also an overview of data manipulation tools.
• Chapter 3, “Visualizing Your Data”, describes graphs and charts that you can use to 
visualize and understand your data. The examples range from simple analyses involving a 
single variable, to multiple-variable graphs that enable you to see relationships between 
many variables.
• Chapter 4, “Analyzing Your Data”, describes many commonly used analysis techniques. 
These techniques range from simple techniques that do not require the use of statistical 
methods, to advanced techniques, where knowledge of statistics is useful.
• Chapter 5, “Saving and Sharing Your Work”, describes using journals and projects, and 
saving scripts.
• Chapter 6, “Special Features”, describes how to automatically update graphs and analyses 
as data changes, how to use preferences to customize your reports, and how JMP interacts 
with SAS.
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Discovering JMP
After reviewing this guide, you will be comfortable navigating and working with your data in 
JMP.
JMP is available for both Windows and Macintosh operating systems. However, the material 
in this guide is based on a Windows operating system.
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