The event count in the selection details gives the user a quick idea about the selected data:

• How many mutations (categorical or binary data) ?
• How many over and under-expressed values (continuous data)?
• How many significant p-values (test results)?
• How many siginificant z-scores (z-score enrichment results)?

When selecting a rows and columns, Gitools shows some basic aggregations and counts the data events within the selected data. Data events are a way to binarize the data on the fly which is also used f.ex. by the :doc:`UserGuide_MutualExclusivity`.

Which data points are considered as events and which aren't depends on the color scale that is being used to show the data. Hovering the mouse over the Events drop-down selector in the selection details box will give you more information and lets the user change what data points are considered events or not.

Examples:

• Categorical scale: All values represented in the categorical scale are events. The rest of the values are non-events.
• P-value scale: All values falling below the significance threshold are events. Non-significant and null values are non-events
• Linear scale: All values falling below minimum and above maximum of the scale are events.