- Hardware and Software Requirements
- Server Installation
- Updating the License
- Deploying the UiPath Process Mining Profiler
- Deploying a Connector (.mvp)
- Updating UiPath Process Mining
- Updating a Customized Version of an App or Discovery Accelerator
- Installing a Training Environment
- Set up Single Sign-on Through Azure Active Directory
- Set up Single Sign-on Through Integrated Windows Authentication
- Adding Superadmin AD Groups
- Adding End-user AD Groups
- Two-Factor Authentication
- Introduction to AppOne
- Analyzing Data in AppOne
- Overview of Menus and Dashboards in AppOne
- Introduction to Purchase-to-Pay Discovery Accelerator
- Analyzing Data With Purchase-to-Pay Discovery Accelerator
- Overview of Menus and Dashboards
- Menu Compliance
- Deploying the Basic Connector
- Introduction to Basic Connector
- Input Tables of the Basic Connector
- Adding Tags
- Adding Automation Estimates
- Adding Due Dates
- Adding Reference Models
- Setting up Actionable Insights
- Setting Collapsible Charts
- Using the Output Dataset in AppOne
- Output Tables of the Basic Connector
- Introduction to SAP Connector
- SAP Input
- Checking the Data in the SAP Connector
- Adding Process Specific Tags to the SAP Connector for AppOne
- Adding Process Specific Due Dates to the SAP Connector for AppOne
- Adding Automation Estimates to the SAP Connector for AppOne
- Adding Attributes to the SAP Connector for AppOne
- Adding Activities to the SAP Connector for AppOne
- Adding Entities to the SAP Connector for AppOne
- HTML Panels
- Migrating Legacy Charts to New Charts
- Join Tables
- Global Tables
- Introduction to Table Items
- Display Format
- Rebrand and Restyle Apps and Discovery Accelerators
- Use Sharding in Your Applications
- Create an Anonymized Dataset
- Set up Automated Data Refreshes
- Use an Access Matrix to Enable Role-Based Access to Data
- Introduction to SQL Connectors
- Setting up a SQL Connector
- CData Sync Extractions
- Running a SQL Connector
- Editing Transformations
- Releasing a SQL Connector
- Scheduling Data Extraction
- Structure of Transformations
- Using SQL Connectors for Released Apps
- Generating a Cache With Scripts
- Setting up a Local Test Environment
- Separate Development and Production Environments
Working With Charts
Charts are dashboard items that are used to visualize data on a dashboard, for example a process graph, a bar chart or a cross analysis table.
A chart usually contains information about a specific part of the process, e.g. case information or event information. A dashboard can contain multiple charts. See illustration below.
Charts can have different lay-outs so that various aspects of the process can be shown. For example in the Process - Process dashboard in AppOne. See illustration below.
The left side contains one chart, the process graph. On the right side, three tabs are available that each contains different charts.
The data in charts is displayed based on attributes and attribute selections. Selecting an attribute determines by which attribute the records in the dashboard are categorized. In the Overview – Cases dashboard in AppOne the initial value is Case type. This means all the cases on the dashboard are categorized by case type.
If you select a different attribute in the attribute selector, the data in the dashboard changes. You can add more attributes to the attribute selector to group the dashboard by multiple attributes.
You can also change the order of the attributes in the attribute selector to group the data in the dashboard in a different order of attributes.
Metrics are used to compute the value for each category, e.g. the number of cases, or percentage of cases. For example, in the Overview – Cases dashboard in AppOne the initial value is Number of cases. If you select a different metric in the metric selector the value for each of the categories in the dashboard is modified.
When calculating metrics, events with missing data are not taken into account. For example, if an event does not have a value for the selected attribute and the metric calculates the average over this attribute, the event is not taken into account. “
Selections in the dataset allow you to zoom in on a specific part of the dataset based on the information displayed in the dashboards. Selections can be triggered by dragging your mouse or clicking on the graphs and charts.
It is possible to do selections on row values of other columns. In this case, the entire row is highlighted and the actual selected value is made bold. A filter is added to the Filters panel. See the animation below for an example.
If you click on the Approve selection button, the data in the dashboard is changed according to the selection.
Using Selections in Multiple Dashboards
Both the selection of attributes and metrics apply to different dashboards. This makes it possible that in one dashboard a selection is created to analyze, and the same selection can be analyzed further on a different dashboard.
Drill down enables you to quickly analyze the data within the dashboard. Drill downs are predefined paths of attributes within the application, which are logical to analyze in a specific order.
For example in the Overview - Cases dashboard in AppOne you can drill down from Case department to Case owner.
The Details button enables you to analyze cases and/or events on the lowest level by going to the Details dashboards.