New in JMP® 15 and JMP® Pro 15

Application Area:
Data Visualization and Exploratory Data Analysis

JMP 15 and JMP Pro 15 include enhancements and new statistical and analytic capabilities that help you visualize, examine and model data about your products, processes and customers.


  • Data Cleanup + Recode
    • 1-click recoding of column names
    • Custom sort orderings
    • Virtual join using single column as both key and reference
  • DOE
    • New Group Orthogonal Supersaturated Design (GO SSD)
    • New optimal 2-level main effects screening designs
    • Automatically create globally optimal designs automatically for multiple of 4 runs when factors are 2-level continuous or categorical
    • Generalized Regression and Fit Mixed models incorporated into Custom Designs (JMP Pro)
  • Explore Patterns
    • New screening platform finds patterns in data (duplicate series of values, linear relationships between columns across groups of rows, properties about formatted values and specific distributional properties)
  • Graph Builder
    • Ability to save Line of Fit formula
    • Improved smoothing and ability to save Smoother formula
    • New Line of Fit options: Robust Cauchy and Time Series Forecast
    • New Font preferences for Graph Label, Legend, Graph Title and Caption
    • New Histogram and Contour types
    • Additional customization options for Heatmaps, Treemaps and Boxplots
    • Extended capabilities for Line element, including ability to make Area plots
    • Improved axes, including better default behavior near 0 and handling of log axes in heatmaps
    • Upgraded Variability Chart and Oneway axes
    • New summary statistic for percentage of grand total
  • Import Wizards
    • Integrated wizards import data from XML, JSON and .pdf text formats
  • Informative Decoration
    • Interactive Histograms displayed above each table column
    • Local Data Filters include histogram-based sliders
    • New hover label graphlets, textlets and gridlets provide additional information and drill-down capabilities, while keeping users in the analysis flow
    • PCA, Functional Data Explorer, Process Screening, Process Capability and Multivariate Control Charts incorporate graphlets in default reports
  • Model-Driven Multivariate Control Chart
    • Multivariate control charts take into account correlation or functional relationships among variables
    • Integral graphlet-based drilldowns help ID root causes
    • T2, Normalized DModX and SPE (Squared Prediction Error) Charts help identify points that are out-of-control in multivariate space


  • Functional Data Explorer
    • Automated knot selection builds better models more quickly
    • Group-level broadcast menu simultaneously cleanses, fits and saves summary information for multiple responses
    • Custom Designer supports and streamlines functional designed experiments
  • General Modeling Improvements
    • View multiple contour profilers simultaneously
    • Improved Make Validation Column interface
    • Generalized Regression includes built-in model comparison, improved 1-click relaunch and changing distributions without relaunching
  • Structural Equation Modeling
    • Build models for confirmatory factor analyses, path analyses and latent growth curves
    • Easily specify a model, duplicate it and switch among several model results
    • Incorporate measurement error into model
    • Repeatedly use a model specification for different data
    • Fit models where some variables are both predictor and response
  • Support Vector Machines
    • New platform for the SVM classifier