- Release notes
- 2023.10.12
- 2023.10.11
- 2023.10.10
- 2023.10.9
- 2023.10.8
- 2023.10.7
- 2023.10.6
- 2023.10.5
- 2023.10.4
- 2023.10.3
- 2023.10.2
- 2023.10.1
- 2023.10
- Before you begin
- Installing Automation Suite
- Process Mining configuration checklist
- System requirements
- Getting started
- Introduction to Process Mining
- Process Mining
- Architecture overview
- Process Mining portal
- Uploading app templates
- Migrating apps for use in Process Mining
- Managing access
- Enabling Process Mining
- Setting up the users
- Managing access for process apps
- 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
- Root cause analysis
- Simulating automation potential
- Triggering an automation from a process app
- Viewing Process data
- Creating apps
- App Templates
- Migrating apps for the new process graph layout
- Create new app wizard
- Scenarios
- Editing app settings
- Setting data restrictions for a process app
- Cloning an app
- Deleting an app
- Exporting and importing process apps
- Loading data
- Uploading data
- Retrieving the SQL Server database parameters
- Setting up a SQL Server account for data upload using an extractor
- Loading data using CData Sync
- Installing CData Sync
- Create a source connection
- Create a destination connection
- Create a job
- Run the job
- 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 destination
- Configuring the extraction script
- Running the extraction script
- Troubleshooting
- Viewing logs
- Optimizing an app
- Scheduling Data Runs
- Customizing process apps
- Introduction to dashboards
- Working with the dashboard editor
- Creating dashboards
- Dashboards
- Charts
- Bar charts
- Distribution charts
- Table charts
- Line charts
- Process graphs
- KPI trends lists
- Pie charts
- Data manager
- Fields
- Metrics
- Automation manager
- Data transformations
- Defining new input tables
- Adding fields
- Adding tables
- Data model requirements
- Viewing and editing the data model
- Exporting and importing transformations
- Viewing the transformations log
- Editing and testing data transformations
- Structure of transformations
- Tips for writing SQL
- Merging event logs
- Process manager
- Publishing Dashboards
- App templates
- Event log and Custom process app templates
- Overview of generic menus and dashboards
- Menu Overview
- Menu Analysis
- Analysis - End to end
- Analysis - Event analysis
- Event log input fields
- Custom process input fields
- Configuring CData Sync for Event log or Custom process
- Purchase-to-Pay app template
- Introduction to Purchase-to-Pay Process App
- Overview of menus and dashboards
- Menu Summary
- Menu Analysis
- Analysis - End to end process
- Analysis - Event analysis
- Menu Efficiency
- Efficiency - Supplier performance
- Menu Compliance
- Compliance - Maverick buying
- Purchase-to-Pay input fields
- Configuring CData Sync for Purchase-to-Pay
- Order-to-Cash app template
- Introduction to Order-to-Cash Process App
- Overview of menus and dashboards
- Menu Summary
- Menu Analysis
- Analysis - End to end process
- Analysis - Event Analysis
- Menu Efficiency
- Efficiency - Customers
- Order-to-Cash input fields
- Configuring CData Sync for Order-to-Cash
- Additional resources
- Out-of-the-box Tags and Due dates
- Editing data transformations in a local environment
- Setting up a local test environment
- Transformations
- Custom throughput time metrics
- SQL differences between Snowflake and SQL Server
- Configuration settings for loading input data
- Designing an event log
- Loading data using DataBridgeAgent
- Introduction
- Using .mvp Connectors
- Downloading DataBridgeAgent
- DataBridgeAgent
- Prerequisites
- Setup credentials for the SQL Server database
- Extracting data from an SAP source system
- Extracting data via loading .csv files
- Extracting data via an ODBC connection
- Using a Credential store
- System requirements
- Configuring DataBridgeAgent
- Adding a custom connector to DataBridgeAgent
- Using DataBridgeAgent with SAP Connector for Purchase-to-Pay Discovery Accelerator
- Using DataBridgeAgent with SAP Connector for Order-to-Cash Discovery Accelerator
- Extending the SAP Ariba extraction tool
- Performance characteristics
- Basic troubleshooting guide
- How to cancel a data run from the database
- How to add an IP table rule to use SQL Server port 1433
- When creating a process app the status stays in Creating app
- Configuring Dapr with Redis in cluster mode
- Data transformations
- Uploading data
- CData Sync
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. See the illustration below for an example.
You can edit the properties of a pie chart in the Edit pie chart panel.
Below is a description of 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. |
|
Fields |
List box that enables you to select the category used for the slices on the pie chart. |
|
Metrics |
List box that enables you to select the metric that defines the values displayed on the slices. You can select multiple metrics to add them to a metric selector. See the illustration below for an example. |
|
Remove chart |
Button that enables you to remove the chart. See |
Maximum number of slices
A pie chart displays up to six slices. If the data consists of more slices for the selected category, a sixth slice is displayed for the remaining values. See the illustration below for an example.