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articles/iot-operations/get-started-end-to-end-sample/quickstart-get-insights.md

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@@ -157,11 +157,11 @@ The visuals should populate with the data from your KQL database.
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Now you have a dashboard that displays different types of visuals for the asset data in these quickstarts. Here are the visuals included with the template:
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* Parameters for your dashboard that allow all visuals to be filtered by timestamp (included by default) and asset ID.
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* A line chart tile showing temperature and its spikes over time.
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* A line chart tile showing temperature versus fill weight over time.
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* A line chart tile showing temperature versus energy use over time.
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* A stat tile showing a real-time spike indicator for temperature. The tile displays the most recent temperature value, and if that value is a spike, conditional formatting will display it as a warning.
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* A stat tiles showing max temperature.
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* A stat tile showing max temperature.
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* A stat tile showing the number of spikes in the selected time frame.
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* A line chart tile showing temperature versus fill weight over time.
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* A line chart tile showing temperature versus energy use over time.
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From here, you can experiment with the filters and adding other tile types to see how a dashboard can enable you to do more with your data.
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