Pie Chart Widget

This widget plots the attribute values or counts by percentage.

The Pie Chart widget converts the original attribute values or counts to proportional data, which is displayed as slices of a chart.

Graphic illustrating a pie-donut chart. The chart displays data as slices, representing proportions or percentages of different categories. The title of the chart is New pie-donut chart. The largest slice, representing 96.37%, is labeled WINDOWS. Other slices include UNIX at 3.09%, GCOS8 at 0.16%, BS2000 at 0.14%, Database at 0.1%, and NSK at 0.06%. The pie chart widget plots attribute values or counts by percentage and converts the original attribute values or counts to proportional data. Hovering over the slices would reveal the exact number of reported elements.

  • Appearance
    • Title: set the title of the widget (displayed in the upper part of the widget) .

      If no title is defined, the default title Pie Chart is used.

  • Configuration:
    • Grouped by: select how you want to group the data (by object name, client, status code, and so on).
    • Define the maximum number of displayed top categories by selecting the desired number in the picker.
    • Only show top N categories: To improve chart legibility in large data sets, use this option to only show TopN results.
    • Show Others: If you have selected the Only show top N categories option and want to display the other categories, check this box. This may take some time if you have a large data set.
    • Show. You can select the following values:
      • Count:Total number of values by sub-category.
        • The Number option is selected automatically.

        • In the Jobs drop-down list you can filter the status of the data to be displayed: ended or started.

          Example: the Agent Type category contains the following sub-categories: Windows, bs2000, and so on. If you select the count value, the total number of existing sub-categories by percentage is displayed:

          Pie chart that displays attribute values or counts as percentages. The chart shows the distribution of categories, with WINDOWS comprising 96.37% and UNIX at 3.09%. Other categories include GCOS8 (0.16%), BS2000 (0.14%), Database (0.1%), NSK (0.06%), CIT/RA (0.02%), OS400 (0.02%), VMS (0.02%), GENERIC (0.01%), MPE (0.01%), and R3/SAP (0.01%). The widget allows filtering data by job status (ended or started). You can hover over slices to see the exact number of reported elements and remove slices by clicking them and applying the exclude selected elements option. The title of the widget can be set, defaulting to Pie Chart if no title is defined.

      • Sum: Total sum of a certain value of a sub-category.
        • Select how you want to show the sum value: by runtime (real runtime) or by ERT (estimated runtime).
        • In the Jobs drop-down list you can filter the status of the data to be displayed: ended or started.

          Example: The started agents sum the following run time:

          Pie chart showing the distribution of categories, with Windows comprising 99.73%, Unix 0.25%, and Database 0.02%. Other categories including Generic, VMS, OS400, NSK, MPE, R3/SAP, GCOS8, CIT/RA, and BS2000 each represent 0%. Here are some key aspects of the Pie Chart Widget that could provide context: The Pie Chart widget plots attribute values or counts by percentage, converting original values into proportional data displayed as slices. The widget can group data by various attributes like object name, client, or status code. To improve legibility, the chart can be configured to show only the top N categories, with an option to display the remaining categories as Others. Hovering over the slices reveals the exact number of reported elements. Slices can be removed by clicking them and applying an exclude selected elements filter.

      • Average: average value of an attribute that is listed by sub-category.
        • Select how you want to show the average value: by runtime (real runtime) or by ERT (estimated runtime).
        • In the Jobs drop-down list you can filter the status of the data to be displayed: ended or started.

          Example:  Average run time of all started agents:

          Pie chart that visualizes data by percentage. The largest slice represents WINDOWS at 79.25%. Other slices include Database at 15.28% and UNIX at 5.47%. Several other categories are listed as 0%, including VMS, R3/SAP, OS400, NSK, MPE, GENERIC, GCOS8, CIT/RA, and BS2000. Pie charts, in general, plot attribute values or counts by percentage, converting original values into proportional data displayed as slices. You can hover over the slices to see the exact number of reported elements.

Note: Hover over the slices to see the exact number of reported elements.

Note: You can remove one or more slices by clicking them, selecting the exclude selected elements checkbox and clicking Apply.

  • Description: optionally, you can specify a description to identify the data that is displayed.

Setting Widget Specific Timeframe

You can set a specific local timeframe directly in a widget. When this feature is activated, all data contained in the widget is specific to your set timeframe. All other widgets in your dashboard are unaffected by individual widget changes.