Advanced Graph Types and Best Practices in Prism

Create Bubble Plots directly from raw data with Prism

8 minutes

Forest plots allow you to combine results from different studies into one display. This short video shows you step-by-step how to create the popular Forest plot in Prism.

4 Minutes

Your graphs and statistical results in Prism only tell part of the story. Learn how to import images from sources outside of Prism so everything is together in one place for your presentations and manuscript submissions.

6 Minutes

Population pyramids allow you to see the distribution of ages for two groups from a population, such as males and females. Learn how to create, customize, and interpret a population pyramid in Prism.

7 Minutes

Spaghetti plots are essential graphs for studies with repeated measures over time. They allow you to see the trends for each patient, or each group of patients, over time. If you have longitudinal data, then you need a spaghetti plot.

7 Minutes

olcano plots show statistical significance versus magnitude of change (fold change) allowing you to quickly identify genes with large fold changes that are also statistically significant. Watch this video to learn how you can create your own Volcano Plot.

12 Minutes

Straight-line regression fits are popular because they allow you to get a slope to measure the rate of change. This video shows you how to get a straight line fit and slope just for the section(s) of your data that are linear.

9 Minutes

This video shows how to pair your statistical results with your graph in Prism and demonstrates how the results on your graph are automatically linked to the corresponding data table.

8 Minutes

If the graph you want is not already in Prism, it still may be possible to create in a few easy steps. In this video, learn how to increase Prism’s already large selection of graph types by overlaying two graphs creating a whole new category of graphs.

10 Minutes

This video will walk you through how to fit a regression line to a subset of data while still graphing all of the data on a graph.

10 Minutes

Without Normalization, the color scale on a heatmap is based on the entire range of data across all rows and columns. This can make it difficult to visually inspect and interpret your results.This video will show you how to avoid this issue.

9 Minutes