The line chart, also known as time series in other systems, presents values on an X and Y axis. It is the most common and default type of visualization. Line charts are effective at showing how something changes over time.
Line charts can also be displayed horizontally by selecting Horizontal chart in the Encoding settings. See Line chart settings.
Click Chart settings to configure the properties for a line chart.
| Setting | Description |
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| Encoding | Configure how the data is mapped to the X and Y axes.
Select Horizontal chart to change the visualization to a horizontal line chart. |
| Axis | Provides the following options:
- Show/hide the labels for the X and Y axes.
- Show/hide the X and Y axes grid lines.
- Select Fit to Data to have the line chart fill up the white space in the chart.
- Use Lower bound and Upper bound to lock the X and Y axes between exact minimum and maximum numbers.
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| Y value formatting | Configure how the values on the Y axis are represented.
- Select a number unit type, such as decimal, unit, or currency.
- Select a locale, notation, compact display, and sign display
- Select Hide grouping separators to remove the commas, periods, or spaces used to break up large numbers into readable blocks.
- Select the number of fraction digits and significant digits you want displayed.
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| Line style | Select how you want the lines to be stylized:
- Select Show points or Show lines for single-line visualizations.
- Select gradient, translucent, solid fill, or no fill.
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| Legend and tooltip | Customize the legend in the chart:
- Select whether you want to have a visible legend, its position, and whether to display as a list or table.
- Select the sort order of the legend, either ascending or descending.
- Customize how you want null entries displayed.
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| Colors | Configure the color scheme you want to use for the chart. |
| Overlays | Configure additional visual markers on the chart:
- Enable Show Thresholds to show a line delineating some threshold number, perhaps corresponding with a threshold in a Monitor that when exceeded, will fire an alert.
- Use Annotation Label and Dataset together to view the data from another Dataset on top of your visualization, such as viewing deployment markers for APM.
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