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content/en/ninja-workshops/7-dashboards-detectors/dashboards/1-08-signalflow.md

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@@ -27,15 +27,13 @@ For more information on SignalFlow see [Analyze incoming data using SignalFlow](
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## 2. View SignalFlow
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In the chart builder, click on **View SignalFlow**.
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In the Chart Builder, click on **View SignalFlow**, to open the underlying code that powers your chart.
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![SignalFlow](../../images/view-signalflow.png)
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You will see the SignalFlow code that composes the chart we were working on. You can now edit the SignalFlow directly within the UI. Our documentation has the [full list](https://dev.splunk.com/observability/docs/signalflow/function_method_list) of SignalFlow functions and methods.
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When you click **View SignalFlow**, you’ll see the **SignalFlow program (1)** that defines the logic and transformations behind your chart. This view gives you direct access to the code powering your visualization, allowing you to fine-tune or extend it beyond what’s possible in the visual editor.
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Also, you can copy the SignalFlow and use it when interacting with the API or with Terraform to enable Monitoring as Code.
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![Code](../../images/show-signalflow.png)
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Below is an example of the SignalFlow code for the chart we just created. This snippet shows how we defined the two percentile signals (current and one week ago), applied a timeshift, and calculated the difference between them. Reviewing the code helps clarify how each step contributes to the final chart.
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{{< tabs >}}
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{{% tab title="SignalFlow" %}}
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{{% /tab %}}
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{{< /tabs >}}
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Click on **View Builder** to go back to the Chart **Builder** UI.
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Click on **View Builder (2)** to go back to the Chart **Builder** UI.
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![View Builder](../../images/view-builder.png)
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![View Builder](../../images/show-signalflow.png)
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Let's save this new chart to our Dashboard!
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