Prism Pro

Transform complex data into actionable insights with advanced analyses, visualizations, machine learning methods and seamless team collaboration

Analyze Complex, Real-World Data Sets

Powerful tools that let you transform, analyze, and report results from Multiple Variables tables,. All without restructuring your data.

Calculated Variables from In-table Formulas

Transform data with spreadsheet-style formulas directly inside Multiple Variables tables. Just like Excel or Google Sheets, type "=" to start a formula for ratios, log transforms, unit conversions, or more complex calculations. Created variables work just like normal variables and can be used in any of your analyses and graphs. Values update automatically when their inputs change, keeping projects organized and workflows efficient.

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Multifactor ANOVA

Leverage ANOVA designs with any number of factors (one-way through N-way ANOVA) from the Multiple Variables tables without restructuring your data. Add or remove factors simply by reassigning variables in the analysis. Specify models with main effects, two-way and three-way interactions, then perform multiple comparisons of main effects, simple effects, or cell-by-cell patterns with your choice of correction methods.

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Classic Analyses from Multiple Variables Tables

Perform t-tests, nonlinear regression, and survival analysis directly from Multiple Variables tables by assigning variables to analysis roles. Organize your data using a consistent structure that lets you run multiple analysis types without reformatting. Simply specify response variables, grouping variables, subject/matching variables, or survival parameters as needed.

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Uncover Hidden Groupings and Patterns

Let Prism automatically determine the optimal clustering approach using advanced algorithms, then visualize the results to easily find trends.

Hierarchical Clustering

Discover natural groupings in your data with agglomerative clustering algorithms. Map and understand the hierarchical relationships between samples without pre-defined cluster counts.

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Dendrograms

Visualize and customize the map of hierarchical relationships in your data, and assist determination of the best cut point for cluster membership. Dendrograms are generated exclusively from hierarchical clustering and provide an intuitive view of how your samples relate to one another.

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Intelligent K-means Clustering

Partition your data into distinct, non-overlapping clusters using optimized K-means algorithms. Not sure how many clusters to use? Let Prism determine the optimal number of clusters automatically using a suite of advanced metrics.

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See Your Data More Clearly

Make sense of complex relationships in your data by assigning variables of your choice to the axes, and generating convex hulls, confidence ellipses, heat maps, and many other visualizations effortlessly.

Confidence Ellipses and Convex Hulls

Reveal the boundaries and variability of groups in your data with confidence ellipses and convex hulls. Instantly communicate group compactness, dispersion, and overlap in ways that make complex relationships unmistakably clear.

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Heat Maps for Multiple Variables Data

Create publication-ready heat maps that transform complex data into clear visual insights. Visualize a data matrix directly, or assign categorical variables to the graph axes with a continuous metric defining color intensity. Use hierarchical clustering to combine heatmaps with dendrograms to reveal both relational patterns and magnitude trends across your complete dataset.

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Tell the Full Statistical Story

Meet modern publication standards with automatic effect size calculations that go beyond p-values to communicate the magnitude and precision of your findings.

Automatic Number at Risk Table

Get the full picture of your survival data with a simple, integrated workflow. This built-in table automatically displays the number of subjects at risk (and optionally censored) at each time point on your Kaplan-Meier plots. It even updates as you change the graph's range, saving you hours of manual work.

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Comprehensive Effect Size Reporting

Report the magnitude of effects alongside statistical significance. Prism automatically calculates eta-squared, partial eta-squared, and Cohen's f for ANOVAs; Phi coefficient and Cramér's V for contingency tables; and Cohen's d, Hedges' g, and Glass's Δ for parametric t-tests—all with confidence intervals included.

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Work Better Together

Access expanded collaboration tools, full project version history, and increased cloud storage capacity to keep teams aligned and work transparent.

Prism Cloud Pro

Take collaboration to the next level with expanded storage, version awareness, and editor permissions that keep your team synchronized.

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Frequently Asked Questions

What you need to know about Prism Pro
1. What do I get with Prism Pro?

Prism Pro lets you handle complex, real-world data without manual workarounds. Create calculated variables right in your data table, run multifactor ANOVA with any number of factors, perform multiple common analyses like t tests, nonlinear regression, and Kaplan-Meier survival analysis from one table with no data restructuring, and get automatic, publication-ready effect size reporting. You also get advanced clustering and visualization tools that reveal structure and patterns. Plus better cloud collaboration and workflow efficiency from transformation through final figure—saving time and reducing errors. Learn more about our plans »

2. What additional ANOVA capabilities does Prism Pro provide beyond a standard Prism plan?

A standard Prism plan supports common one- and two-way ANOVA designs with some options for three-way ANOVA as well. Pro supports any number of factors with N-way ANOVA, all performed directly from the Multiple Variables data table. You no longer have to worry about which table to use or how to restructure your data. Choose to include main effects, two-way and three-way interactions, and perform multiple comparisons across factors or individual cells. Regardless of the number of factors you’re working with, Pro handles it cleanly. Learn more about our plans »

3. Do I need machine learning experience to use clustering?

No. Prism Pro streamlines cluster analyses and guides the workflow. It automatically determines the optimal number of clusters for K-means clustering using advanced metrics, and creates heatmaps with dendrograms automatically for Hierarchical clustering. No coding required. Machine Learning in Prism >

4. Will Prism Pro help with journal reporting requirements?

Yes. Standardized effect sizes (eta-squared, Cohen’s d, Hedges’ g, and more) are calculated automatically for a variety of analyses including ANOVA, t tests, and contingency table analyses. Performing Kaplan-Meier survival analysis will automatically generate a Number at Risk table on your survival graph that updates with any changes you make to your data or your graph. Learn more about our plans »

5. Is Prism Pro right for me, or do I need Prism Enterprise?

A Prism Pro plan includes the most advanced features in Prism, covering statistics, Machine Learning, visualization, and calculated-variable capabilities. Enterprise includes everything in Pro and extends it with organization-wide administrative controls built for scale. It adds capabilities such as Single Sign-On (SSO) and Directory Sync (SCIM), enabling centralized authentication, automated user provisioning, and secure user management across large teams. Learn more about our plans »