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Configuring a baselineValue in charts and tables

This procedure explains configuring baselineValue in the AnalyticWebChart, AverageProfileChart, and LoadDurationChart. You can also use a Web table to compare individual values of historical data.
Prerequisites: You are working in Workbench connected to a station whose database contains a substantial amount of historical data.
This procedure explains configuring the baselineValue feature by using the example of a chart. Similarly, you can compare the values using a Web table.
Perform the following steps:
  1. Navigate to the logic folder in the view pane, and right-click logic Views > New View.
    The New Px View opens
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  2. Select the properties and click OK.
    The Px editor Opens.
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  3. To change the view size property, right-click the background canvas, and select Edit Properties.
    The default canvas size is 1000 by 800 pixels. You may find this size too big for a chart that compares a baseline value with another value.
    The Canvas Pane properties window opens.
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  4. To decrease the viewSize in pixels, click Image.
    The viewSize window opens.
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    Change the pixel size to 640 x 480 pixels.
  5. Open the analytics palette.
    The analytics palette opens in the sidebar.
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  6. Expand the Charts folder and drag an AnalyticsWebChart, AverageProfileChart, or LoadDurationChart to the Px canvas pane.
    The Web Widget Properties window opens.
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  7. Configure the following properties and Click OK.
    • Node selects the ORD for the desired slot.
    • Data specifies the tag used to retrieve data.
    • baselineValue enables the baselineValue feature.
    The chart with comparing two historical values opens.
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  8. Select the time range form the right corner drop-down to visualize the different patterns of historical data.
    You can observe the chart in browser view also. You can add multiple points and observe different patterns for all the points.
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  9. To export the chart click Image.
    The Export Wizard window opens.
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  10. Configure the properties and click OK.
    • File Name provides the file name for the resulting file per your choice.
    • Destination selects the destination of the file to save.
    • File Type selects the awchart as file type from the drop-down list.
    You can view the exported chart in Workbench or a browser.

Related Links

  • Data visualization (Parent Topic)

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