process-mining
latest
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- Release notes
- Before you begin
- Managing access
- Getting started
- Integrations
- Working with process apps
- Working with dashboards and charts
- Working with process graphs
- Working with Discover process models and Import BPMN models
- Showing or hiding the menu
- Context information
- Export
- Filters
- Sending automation ideas to UiPath® Automation Hub
- Tags
- Due dates
- Compare
- Conformance checking
- Process simulation
- Root cause analysis
- Simulating automation potential
- Starting a Task Mining project from Process Mining
- Triggering an automation from a process app
- Viewing Process data
- Creating apps
- Loading data
- Transforming data
- Structure of transformations
- Tips for writing SQL
- Exporting and importing transformations
- Viewing the data run logs
- Merging event logs
- Configuring Tags
- Configuring Due dates
- Configuring fields for Automation potential
- Activity Configuration: Defining activity order
- Making the transformations available in dashboards
- Data models
- Adding and editing processes
- Customizing dashboards
- Publishing process apps
- App templates
- Notifications
- Additional resources
Process Mining
Last updated Oct 29, 2025
You can add context metrics to provide a better understanding of the main metric displayed on the chart. Context metrics are displayed as tooltips on charts.
The following illustration shows a chart with the main metric Average amount and Number of cases as a context metric.
Depending on the calculation of the main metric, different contexts may be useful to explain the main metric. For example,
if the main metric is defined as
Average amount, useful context is Number of objects for which the average amount is calculated. This also applies when you main metric is defined as Total amount. In this case, also Number of objects for which the sum is calculated is a useful context.
When your main metric is defined as a percentage, for example
Cases with tag (%), useful contexts can be Number of objects with tag and Total number of objects.
The following table shows some examples of main metrics with relevant context metrics.
|
Main metric |
Context metric 1 |
Context metric 2 | |
|---|---|---|---|
|
Count |
Number of objects
|
- |
- |
|
Average |
Average amount
|
Objects
|
- |
|
Sum |
Total amount
|
Objects
|
- |
|
Percentage |
Objects with tag %
|
Objects with tag
|
Total objects
|
