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The Value History displays a time-series graph of one or several SKOOR job's values on a predefined timeline. If required, the values can be exported from the widget in CSV format.

As with the State History, the timeline is divided into samples (the Value history uses approximately 200 samples). Each sample can show either the maximum (max), the minimum (min) or the average (avg) of all values measured within the sample time period.

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The Value History allows defining 2 vertical axes, one on each side of the plot. Each axis can show a specific value (e.g. Temperature, Humidity … etc.).
An unlimited number of SKOOR objects measuring the value configured for the axis can be displayed. This allows overlaying for example the temperature and humidity of various jobs in the same graph.

Sample values can be retrieved by moving the mouse over the timeline:

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Aggregated min., max., avg and last values may be displayed below the graph:

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State- or thresholds can be displayed to enrich Value History graphs if required. Click into the graph to select States

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or thresholds:

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Together with thresholds, targets are displayed when defined in the SKOOR Engine. The example above shows a target of 5000 (dotted line).

Of course, the background layer can be set permanently in the edit mode. 

Editing value history widget

To create a new Value history widget:

  1. Add one or more data series,

  2. Choose plot height (optional),

  3. If  the same data series should be displayed for multiple objects, configure Page size, Split mode, and Split width (optional),

  4. Enable or disable CSV export of the data displayed in the widget,

  5. Switch on or off the aggregated values table below the widget,

  6. Configure Y axes (optional),

  7. Choose a time range on the X-axis (optional).

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Setting

Description

Chart height

Set the height of the chart in pixels

Show legend

Set flag whether a legend should be shown or not.
Pick the desired legend settings:

  • top

  • bottom

  • bottom with aggregates

Show time zone

Set flag to show the time zone

Page Size

Set the maximum number of graphs to be shown on the widget, the rest will be split into further pages and a page selector image-20240903-085143.png will be show in the lower section of the widget

Split mode

Select how to split the graph into multiple graphs:

  • none

  • object

  • dataSerie

  • aggregate

Split width

Select the width of the graphs (in pixels) generated based on the Split mode.

Align split scales

Set to align the scales of the graphs generated based on the Split mode.

Show time chooser

Set to show the time chooser in the widget.

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Allow CSV export

Set to enable exporting the data as a CSV. image-20240903-085949.png

Resolution

Select the desired resolution of the graph:

  • low

  • medium

  • high

X Axis default interval

Set the default interval of the X-Axis

Add data series

Click the Add data series button to add a new data series.

The first step is to define one or more SKOOR Engine objects to get data from. Click add data serie and use the object filter to select the appropriate objects.

The following settings can be configured for each Data series item:

Setting

Description

Name

Name of the data series. This is used to identify the data series in the data series list of the value history edit mask.

Title

Custom data series title used in the legend (optional).

Value

Some SKOOR Engine objects offer more than one measurement value. Choose the value to get history data for. The section List of job/SLC value keys gives you an overview of the
available values of the chosen object type

Type

Line or area (Default is line).

Y Axis

Choose which of the 2 vertical axes to use for plotting this data series (Default is left).

Mode

Choose the sample mode (optional): avg (Plot average value for each time sample. This is the default), max (maximum value) or min (minimum value). For details see Value History

Color

Custom color (optional).

Background layer

The value history can be enriched by state or threshold information. Choose one of none, states or thresholds

Color thresholds

If checked, thresholds will be displayed in their well known colors, otherwise in gray shades. This option is only visible when the background layer is set to thresholds.

Note that thresholds with operator <> can not be displayed

Choose plot height

By default, the height of the plot is determined automatically. However, using the Height field, a custom plot height can be specified (in pixels).

Split graphs / Aggregate values

If data of more than one object should be displayed, it might be a good choice to split the data series up into more than one graphs. This can be done either by object or by data series.

The following picture shows the cpu and memory usage of multiple processes on a device together in one graph:

The same data can now be split up like in the following example where the split mode data series was used:

If a large number of graphs appears with the split mode, the page size can be used to reduce the number of graphs per page. The split width sets the per graph width displayed on the pages.

Furthermore, it is possible to show aggregated values of all objects within a data series. The resulting value history shows the average, min and max values and the resulting standard deviation.

Configure Y axis

Click the Edit y1 to edit the left Y axis or Edit y2 to edit the right Y axis:

Setting

Description

Show label

Show or hide label.

Label

Y axis label (optional). If left empty, the label is built from the object's value.

Range

Value range on the Y axis (optional). By default, the range is determined from the given values.

Choose the time range on the X-axis

Use the select box to set the time range to display.

Export

CSV Export option is only available if it was setup correctly in the widget settings

  1. Trigger <CSV Export> on the widget

  2. Set the desired begin and end dates for the CSV report.

  3. Trigger <Export>

  4. The report will be downloaded.

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Setting

Description

Begin

Start date of the desired CSV export.

End

End date of the desired CSV export.