- Release notes
- 2026
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- Managing access
- Access to Automation CloudTM Public Sector
- Enabling the service in Automation CloudTM Public Sector
- Unified Pricing licensing
- Flex licensing
- Setting up the users
- Managing access for process apps
- Data capacity
- Before you begin
- System requirements
- Process Mining feature availability
- Getting started
- Introduction to Process Mining
- Process Mining
- Architecture overview
- Process Mining portal
- Process apps tab
- Development tab
- Integrations
- Setting up Automation integration
- 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
- Process Insights (preview)
- Creating apps
- App Templates
- Create new app wizard
- Creating a new app
- Selecting the app template
- Defining the app properties
- Selecting the data source
- Mapping input tables
- Mapping input fields
- Finishing the app creation
- Cloning an app
- Exporting and importing process apps
- Editing dashboards
- Managing app permissions
- Deleting an app
- Loading data
- Uploading data
- Retrieving the credentials for the Azure blob storage
- Loading data using CData Sync
- Installing CData Sync
- Create a source connection
- Create a destination connection
- Create a job
- Run the job
- Pseudonymizing data
- Loading data from multiple source systems
- Incremental extraction
- Troubleshooting CData Sync
- Loading data using Theobald Xtract Universal
- Setting up Theobald Xtract Universal
- Importing the template extractions
- Configuring the source
- Configuring the extraction script
- Setting up DataUploader
- Incremental extraction
- Running the extraction script
- Troubleshooting
- Loading data using DataUploader
- Running DataUploader
- Incremental extraction
- Managing file storage
- Viewing logs
- Optimizing an app
- Scheduling Data Runs
- Transforming data
- Data transformations editor
- Adding fields
- Adding tables
- Designing an event log
- Using LLM functions in data transformations
- Input data
- Adding input tables
- Deleting input tables
- Managing input data
- Manage file storage
- Editing data transformations
- 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
- Introduction to dashboards
- Working with the dashboard editor
- Uploading a development dataset
- Creating dashboards
- Dashboards
- Charts
- Bar charts
- Stacked bar charts
- Distribution charts
- Table charts
- Pivot table charts
- Line charts
- Process graphs
- KPI trends lists
- KPI values lists
- Pie charts
- Donut charts
- Editing app settings
- Setting data restrictions for a process app
- Managing deviations
- Data manager
- Tables
- Fields and metrics
- Creating fields and metrics
- Editing fields and metrics
- Hiding and showing fields
- Context metrics
- Metric thresholds
- Deleting fields
- Deleting metrics
- Duplicating metrics and fields
- Expressions
- Reference fields
- Constants
- Arithmetic
- Aggregates
- Compare
- Logical
- Text
- Automation manager
- Process models
- Process mining types
- Publishing process apps
- Publishing process apps
- App templates
- Event log and Custom process app templates
- Menus and dashboards
- Overview
- End to end
- Event analysis
- KPIs
- Event log input fields
- Custom process input fields
- Configuring CData Sync for Event log or Custom process
- Purchase-to-Pay app template
- Purchase-to-Pay Process
- Menus and dashboards
- Summary
- End to end process
- Event analysis
- Supplier performance
- Maverick buying
- Tag Details
- KPIs
- Purchase-to-Pay input fields
- Configuring CData Sync for Purchase-to-Pay
- Purchase-to-Pay SAP app template
- Menus and dashboards
- Summary
- Process overview
- Process velocity
- Supplier performance
- Maverick buying
- Payment and discount
- Accounting quality control
- Tags overview
- KPIs
- Purchase-to-Pay - SAP input fields
- Order-to-Cash app template
- Order-to-Cash process
- Menus and dashboards
- Summary
- End-to-end process
- Event Analysis
- Customers
- KPIs
- Order-to-Cash input fields
- Configuring CData Sync for Order-to-Cash
- Automation Log Monitor
- Dashboards and KPIs
- Notifications
- My notifications
- Additional resources
- Out-of-the-box Tags and Due dates
- Discover process model
- Transformations
- Custom throughput time metrics
- SQL differences between Snowflake and SQL Server
- Extending the SAP Ariba extraction tool
- Performance characteristics
- Basic troubleshooting guide
- Process Mining service not visible
- Data transformations
- Uploading data
- CData Sync
- Integrated extractors
- Process Optimization
Process Mining
Pie charts can be used to compare the relative proportions of a certain metric within a category. The data in a pie chart is displayed in slices that form a circular graph. Each slice of the pie is relative to the size of the category used for the chart. The entire chart represents the total (number or 100%) of the category, while each slice represents a part of the total. The following illustration shows an example of a pie chart.
A legend is automatically generated for a pie chart.
You can edit the properties of a pie chart in the Edit pie chart panel.
The following table describes the properties of the Pie chart.
|
Element |
Description |
|---|---|
|
Title |
Text box that enables you to edit the title of the pie chart. |
|
Tooltip | Text box that enables you add a text that will be displayed as tooltip when the user hovers the mouse over the chart title in the published process app. |
|
Category |
List box that enables you to select the category used for the slices on the pie chart. |
|
Metrics |
List of metrics that define the values displayed on the slices.
Note:
You must at least select one metric. If you select multiple metrics, the first metric will be displayed by default. |
Maximum number of slices
A pie chart displays up to six slices. If the data consists of more than five slices for the selected category, a sixth slice is displayed representing the combined total of the remaining categories that are not displayed individually.
The purpose of the sixth slice is to provide a complete picture of the data distribution, when not all categories are displayed individually. It shows the proportion of the data that is not covered by the top 5 individual categories in comparison to the whole.