<!-- {"title": "Import CSV headless", "category": "time-series", "complexity": "advanced", "order": "2"} -->
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<!-- readme
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### Quickstart
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1. Prepare `time-series.csv` in tabular CSV format without column headers:
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```
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0,12.34,56.78
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2,43.21,87.65
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```
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2. Set column names from CSV in the labeling config below:
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- `timeColumn="0"`
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- `column="1"`, `column="2"`
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3. Add `<Channel>` tags for more columns if needed.
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4. After setup you can import your CSV files on Import page and Label Studio will host them OR
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upload your CSV to your hosting (e.g.: `https://my.domain.com/time-series.csv`) and
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<a target="_blank" href="https://labelstud.io/guide/tasks.html">prepare LS tasks for them.</a>
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Read more about
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<a href="https://labelstud.io/tags/timeseries.html" target="_blank">TimeSeries</a>,
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<a href="https://labelstud.io/tags/timeserieslabels.html" target="_blank">TimeSeriesLabels</a>,
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<a href="https://labelstud.io/tags/timeseries.html#Channel" target="_blank">Channel</a>.
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-->
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<View>
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<Header value="Time Series from headless CSV"
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style="font-weight: normal"/>
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<!-- Control tag for region labels -->
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<TimeSeriesLabels name="label" toName="ts">
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<Label value="Run" background="#5b5"/>
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<Label value="Walk" background="#55f"/>
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</TimeSeriesLabels>
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<!-- Object tag for time series data source -->
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<TimeSeries name="ts" valueType="url"
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timeColumn="0" value="$csv"
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sep="," overviewChannels="1,2">
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<Channel column="1"
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strokeColor="#1f77b4"/>
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<Channel column="2"
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strokeColor="#ff7f0e"/>
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</TimeSeries>
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</View>
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