Use Analytics

Create a New Analytic

1. Open the Analytics and Reports [A] menu

   ▷ The "Analytics and Reports Overview" opens

2. Click on [B] to create an analytic

   ▷ The "Name" window opens

3. Give the analytic a name

4. Click on Save

   ▷ The analytic is saved under the name you entered

5. In the list of analytics [C], click on the analytic you created

   ▷The analytic opens

6. Click on [D]

   ▷ The "Edit Chart" menu opens

Edit a Chart

Select Data

1. Open the ->"Edit Chart"-menu

2. Click on [J] to add an asset

3. Select the attribute of the asset that you want to include in the analytic.

   ▷ You will see a preview of the attribute under [N]

4. Optional: Repeat steps 1 and 2 to add more assets and attributes.

5. Click on [K] to choose the time span that should be displayed. If necessary, specify a start date [M] and an end date [L].

6. DO NOT click Confirm [N] if you still want to make other settings.

   ◈ If you accidentally clicked Confirm and want to continue with the configuration, jump to -> Edit chart later

Select Display

1. Open the ->"Edit Chart"-menu

2. Click on Template [G]

3. Choose the chart from the available ones that is suitable for your data.

4. You can find an overview of the available charts ->here [External Link]

More Options

1. Open the ->"Edit Chart"-menu

2. Click on Settings [I]

3. Configure your desired options

4. Click on Confirm [N]

   ▷ The "Edit Chart" menu closes

   ▷ The analytic to which the chart belongs is opened

Open the "Edit Chart" Menu

If you want to edit a chart later, you can open the "Edit Chart" menu as follows:

1. Open the Analytics and Reports [A] menu

   ▷ The "Analytics and Reports Overview" opens

2. Open the analytic that contains the chart you want to edit

   ▷ If the analytic contains one or more charts, these charts are displayed.

3. Click on [S]

   ▷ A menu opens

4. Click on Edit Chart [T]

   ▷ The "Edit Chart" menu opens

Use Multiple Y-Axes

Info

In some cases, you will want to display value histories in a chart whose orders of magnitude differ greatly from each other.

For example, an indoor temperature sensor usually measures values between 15 and 30. A lighting sensor, however, regularly measures values in the three-digit range.

If both value histories were displayed in a chart with only one Y-axis, the readability of the lower value would suffer.

In Fig. 4, top, the temperature curve is barely readable and not meaningful.

In Fig. 4, bottom, a second Y-axis with a finer scale has been added: Now both value histories are perfectly readable.

You can create up to 5 separate Y-axes.

Implementation

1. Open the ->"Edit Chart"-menu

2. Open the Data [H] tab

3. Activate the Multiple Axes [F] option

   ▷ Further options are displayed for all added assets

4. For each asset, select in the respective field [P] which Y-axis it should use

   ▷ Eliona automatically calculates a suitable ratio

5. Optional: Adjust the other options to your liking

6. Click on Confirm [O]

Zoom

You can decide whether a chart can be zoomed into.

Activate Zoom

1. Open the ->"Edit Chart"-menu

2. Open the Settings [I] tab

3. Click on General [Q]

4. Under Allow zoom [R], select in which axes zooming is allowed

5. Click on Confirm [O]

Use Zoom

1. Open an analytic for which zoom has been activated

2. Mark the area in the chart you want to zoom into. To do this, hold down the left mouse button and move the mouse.

3. Release the left mouse button

   ▷ The marked area is displayed enlarged

4. To return to the original view, click on the "Reset Zoom" field in the top right.

Variables

You can use variables in many fields by enclosing an attribute in {{double curly brackets}}. The value of the respective attribute is displayed in the corresponding field. You can find more on this under:

Colors

Each asset you add is automatically assigned a color. The color assignment is sequential based on a predefined list of colors.

You can customize the colors directly in the list.

Proceed as follows:

1. Open the -> Edit Chart-menu

2. Open the Settings [I] tab

3. Click on Appearance [Q]

4. Scroll down until you see the Series Colors [V] section

5. Click on any color to customize the color

Format of the Series Label

Under the Settings menu item in the Title section, you can customize the Format of the Series Label. Here you have the option to use variables to individualize the displayed value.

Available Variables

The following variables are available to you:

• {{unit}}: Unit of the value (e.g., °C, %, kWh)

• {{attribute}}: The name of the attribute whose value is displayed

• {{aggregatedDataField}}: The data field on which the aggregation is based

• {{aggregatedDataRaster}}: Raster with which the data was aggregated

• {{aggregatedDataType}}: Type of aggregation (e.g., average, sum)

These variables allow you to design the display of the series label flexibly and dynamically.

Example

Assuming you want to dynamically change the label for different types of heat pumps, you could insert a condition into the label:

<div data-gb-custom-block data-tag="if" data-expression='attribute == "durchschnitt_COP_Erdwärmepumpe"'>

    Ground source heat pump

<div data-gb-custom-block data-tag="elseif" data-0='durchschnitt_COP_Luft-Wasser-Wärmepumpe'></div>

    Air-to-water heat pump

<div data-gb-custom-block data-tag="else"></div>

    Air-to-air heat pump

</div>

In this example, the respective heat pump type is displayed as the series label depending on the attribute.

◈ This function allows you to customize the label precisely to the specific requirements of your analytic by dynamically inserting attributes and other values.

Display Alarms in the Analysis

To display alarms in your analysis, simply check the box next to [U] "Display alarms".

◈ This is only available for analytics with the "Area" template.

▷ The alarms are now displayed in the analysis.

Use Offset Function in Analytics

With the Offset function, time series can be directly compared with each other—e.g., today's values with those of the previous day or current data with those from the previous year. This allows for effective analysis of trends, seasonal fluctuations, and operational behavior.

Activate Offset

Open an existing analysis or create a new one. Activate the [Offset] switch ▷ The following options appear:

• [Period]: Indicates by what time period the data series is shifted in the comparison (e.g., 1 Day, 1 Week, 1 Year)

  ◈ This period is multiplied via the Time offset field for each data series

• [Raster]: Defines the time aggregation frame with which the data is displayed in the comparison (e.g., 15 minutes, 1 hour, 1 day)

• [Start date]: Sets the start date of the analysis

Set Time Offset per Data Series

For each data series (e.g., attribute or calculation), you can individually set:

• Time offset: Indicates by how many Period units the data series is shifted

  ◈ Example: Period = "Week", Time offset = 2 → Data series shows values from two weeks ago

• Aggregation mode: Determines how the data is aggregated in the selected Raster (Average, Sum, Min, …)

• Custom legend: Optional name for the data series in the chart (e.g., "Last Year", "Previous Week")

  ◈ This function is ideal for comparisons such as Today vs. Yesterday, This Week vs. Last Week, or Current Month vs. Previous Year.

Use Quick Analytic

With Quick Analytic, you start an analysis directly with the appropriate attributes—without manual configuration. The button is available in: * Asset List, Asset Details, Digital Twin, and Dashboard Widgets Clicking on it opens the analysis configuration, which is already pre-filled with the relevant attributes of the current context. You can edit the analysis as you wish—just like a normal analysis—and then save it.