Interactive plot page

Modified on Tue, 08 Nov 2022 at 08:56 AM

In this chapter, we will explain how to view and customize your plots interactively in the Interactive plot page using the example of the dimension reduction (scatter) plot. Each plot type has some visualization options unique to it, but most options and functionalities are common for all plots. 

1. Opening the interactive plot page

Once your analysis has been been completed you can view its result in the interactive plot page if the has the green "Interactive" banner. You can open the interactive plot page by clicking on the "View interactively" button of the selected plot from the track. 

2. Customization options in the interactive plot page


(PLACEHOLDER)


In the case of the dimension reduction plot the following main types of customization options are available in the right-hand side accordion menu:

  1. Data to plot - choose the way you color code the plot. You can color code the plot either based on the expression of a gene or the values or groups of a metadata variable.
  2. Legend option - customize plot legend.
  3. Marker options - customize the appearance of the plot markers. 
  4. Axis/Layout options - customize the plot title, legend and axes appearance, plot layout.
  5. Summarization - when plotting large datasets you can choose to summarize the representation of individual dots.
  6. Download plot - prepare your plot for download by specifying the file format, name and dimensions.


Clicking on these tabs and the subtabs therein will display the visualization parameters. Clicking on the label of a parameter will open the Plotly manual for that parameter, where you can have an in-depth explaination on what that parameter does.


3. Saving plot customization settings


Once you are happy with your customized plot, you can click on the "Save setting" button to save the selected visualization options. The saved visualization settings will be available the next time you view the plot interactively. Additionaly the saved customized plot will be displayed on the plot thumbail in the plot overview page.




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