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This page provides an example of how to use the custom chart component in your App Builder apps.
The basic workflow for creating a custom chart is as follows:
- Create or choose a query that contains the data you want to graph.
- Add the custom chart component and choose a chart style from the App Builder UI or the Vega-Lite example gallery.
- Replace the values in the example with your query data.
Example setup flow
The following example shows how to create a histogram chart illustrating Datadog Logs grouped by service.
Set up your data source
- Click + New Query.
- Search for “search logs” and choose the Datadog Search logs action to create a query called
searchLogs0
. - Choose an existing Datadog Account Connection, or create a new one.
- Under Inputs, for Time period, choose Past 2 Days.
- Click Run.
A panel displays the outputs of your query in the bottom-left. - Under
logs
, expand 0
, then expand content
. This shows the available properties for each log.
Add the custom chart component and choose a chart style
Click + All Components and select Custom Chart to add a component called customChart0
.
Click Show Chart Examples.
Select Simple Histogram and click Confirm.
The following value populates in the Vega Specification:
${{
"$schema": "https://vega.github.io/schema/vega-lite/v5.json",
"data": {
"url": "https://vega.github.io/editor/data/movies.json"
},
"mark": {
"type": "bar",
"tooltip": true
},
"encoding": {
"x": {
"bin": true,
"field": "IMDB Rating"
},
"y": {
"aggregate": "count"
}
}
}}
Replace example values with your data
Replace the auto-populated Vega Specification with the following to change the data source and the value being graphed on the x-axis:
${{
"$schema": "https://vega.github.io/schema/vega-lite/v5.json",
"data": {
"values": searchLogs0.outputs.logs
},
"mark": {
"type": "bar",
"tooltip": true
},
"encoding": {
"x": {
"field": "content.service"
},
"y": {
"aggregate": "count"
}
}
}}
A histogram chart with your Datadog Logs data displays.
Further reading
Do you have questions or feedback? Join the #app-builder channel on the Datadog Community Slack.