Plots

Plotting tools are used to visualize a table’s data. Most plotting tools allow the grouping of the table’s data by categorical column values. Grouping can be performed by single category or combination of multiple categories. Headers of categorical columns have a light blue background; all other column headers are displayed with a gray background.

Select a Data Table

The shown example table contains the following categorical columns that may be used for data grouping: Cell, Compartment, FOV, Treatment. Grouping by multiple categories follows a customizable hierarchical order.

Note

Changing the order of the grouping hierarchy changes the visualization layout in most plots. The specific effects of different grouping hierarchies on data visualization are tool dependent and described with examples in the following subsections.

Create a Plot

Icon	Analysis Tool	Description
	Barplot	Creates bar plot based on mean +/- StDev (or S.E.M)<br> of grouped data.
	Boxplot	Creates box plot of grouped data.
	Lineplot	Creates line plot of grouped data.
	Swarmplot	Creates swarm plot of grouped data.
	Violinplot	Creates violin plot of grouped data.
	Scatter Plot	Creates scatter plot for pairs of selected features in grouped data.
	Frequency Histogram	Creates frequency histogram of grouped data.
	KDE Plot	Creates kernel density estimate (kde) plot of grouped data.
	Heatmap	Creates heatmap for matrix of data features based on mean of grouped data.
	FLIRR Plot	Creates several plots for FLIRR visualization.

Save a Plot

While selecting the configuration settings for a given plot, there is an Autosave checkbox that saves the produced plot. Simply click on the checkbox and use the Choose button to select a directory to save the file to.