In this guide, you'll learn how to plot and interpret continuous data using BioRender Graph. Continuous data shows the relationship between values on two axes: the Xaxis (independent variable) and the Yaxis (dependent variable). Each point on the graph represents a specific relationship between these two values.
StepbyStep Guide
Step 1: Select your preferred visualization
After creating a new Graph file, you can select the XY Analysis option or the Dose response option and click Create. Once your dataset is ready, choose from Scatterplot, Mean/Median Point, or Lineplot from the Graph Options dropdown menu.
The same plotting and display options apply to both linear and nonlinear trends and analyses.
Step 2: Select the right graph type for your use case

Scatterplot:

Displays individual data points on the X and Y axes.
 Supports multiple or unique observations for each Xaxis value.

 Mean/median points:
 Displays the mean or median of multiple observations for each Xaxis value.
 By default, shows the mean with standard deviation error bars.
 You can switch to standard error of the mean or 95% confidence intervals.
 Lineplot:
 Connects individual data points with a line.
 Supports multiple or unique observations per Xaxis value.
 If you have multiple observations per Xaxis value, it displays their mean/median, similar to Mean/Median Points.
Step 3: Visualize analysis results
If you selected the scatterplot or mean/median point option, you can also plot the line of best fit in addition to the points.
You can access the analysis menu by clicking ‘Run analysis’ under the graph, in the ‘Display analysis’ section, or by clicking ‘Add analysis’ nested within the Dataset.
After running the analysis, you can display the line of best fit by clicking on ‘Graph’. The best fit line will automatically appear. You can also display 95% confidence intervals around the line, and add details such as the equation, pvalue, Rsquared value, and standard error to your plot.
Can’t see the graph?
 If you only have one group in your data, you may have skipped entering the Legend Categories variable. However, you still need to enter a variable name even if you only have one group. Otherwise, the graph will not be displayed.
 As soon as you add this variable, you will be able to see your graph. If you don’t want the variable name to be displayed in the legend, you can toggle legend visibility off.
Can’t see the line of best fit?
 If you selected the Lineplot option, the line of best fit is not available. This is to avoid confusion with overlapping lines. Instead, create a new Graph under the same Dataset and select Scatterplot to run a regression analysis and add the best fit line.
 If your analysis did not converge (the analysis returned NA values), the line of best fit cannot be estimated. This is typically due to atypical distribution in the data, particularly with dose response analysis. In this case, inspect your data to identify potential issues with nonlinearity.
What’s Next!
Now that you’ve visualized your data, check out ways you can customize your graph to maximize its impact! If you have further questions about statistical analysis, refer to our detailed guide on performing a statistical analysis in BioRender Graph.
Was this article helpful?
Articles in this section
 Creating heatmaps in BioRender graph
 Keeping Your Graph Data Secure in BioRender
 BioRender Graph
 Creating a new graph file
 How to enter data into the spreadsheet
 Performing a statistical analysis
 How to customize your graph
 How to change your data format
 How to plot and analyze continuous (XY) data in BioRender Graph
 Exporting your BioRender graph