**Note for GraphPad Prism users**

BioRender's data tables are structured differently from GraphPad Prism. GraphPad Prism requires your data to be in a wide format. BioRender requires your data to be in a long format, similar to R, Origin, and SPSS.

The examples below explain how to format data for BioRender.

Learn more about long and wide data here.

**t-tests and one-way ANOVAs**

The spreadsheet for t-tests and one-way ANOVAs will have two columns: (A) your independent variable and (B) your dependent variable.

All of your group labels for your data points will go in column A and your results will go in column B.

Note: This is different from how GraphPad Prism’s spreadsheet requires your data to be formatted, but the same as how R, Origin, and SPSS typically accept data.

Example: You’re comparing the weight of wild-type vs. knockout mice.

**Two-way ANOVAs**

The spreadsheet for regressions has three columns:

(A) the independent variable which will be displayed on the x-axis

(B) the dependent variable

(C) the (optional) second independent variable which will be displayed in the legend

Note: This is different from how GraphPad Prism’s spreadsheet requires your data to be formatted, but the same as how R, Origin, and SPSS typically accepts data.

Example: you’re comparing the effect of different drug types (independent variable) on the resting heart rate (dependent variable) of male and female (independent variable) mice.

**Regressions (linear and non-linear) **

The spreadsheet for regressions has three columns:

(A) the independent variable which will be displayed on the x-axis

(B) the dependent variable

(C) the (optional) second independent variable which will be displayed in the legend

Because the data will be used to run a regression analysis, column A must be numeric.

Example: you’re comparing the effect of different drug concentrations (independent variable) on the resting heart rate (dependent variable) of male and female (independent variable) mice.

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