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DocumentationQuery ReferenceAPI Reference

Platform overview

What is Axiom?QuickstartArchitectureFeatures
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Send data

Reference architecturesMethods

Understand data

Console
Query
Builder
Editor
Query results
Visualize
Traces
Metrics
Correlations
Save queries
Stream
Dashboard
Create
Elements
Create
Configure
Element types
Gauge
Heatmap
Log stream
Monitor list
Note
Pie chart
Scatter plot
Statistic
Table
Time series
Sections
Configure
Filter
Annotate
Monitor
Overview
View status
Configure
Examples
Monitor types
Anomaly
Match
Threshold
Alerting
Overview
Configure
Notifier types
Custom Webhook
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Overview
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Overview
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Overview
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Translate SPL to APL
Splunk
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Examples
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Use cases

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Overview
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Miscellaneous

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Understand data/Console

Configure dashboard elements

This section explains how to configure dashboard elements.

When you create a chart, click to access the following options.

Values

Specify how to treat missing or undefined values:

  • Auto: This option automatically decides the best way to represent missing or undefined values in the data series based on the chart type and the rest of the data.
  • Ignore: This option ignores any missing or undefined values in the data series. This means that the chart only displays the known, defined values.
  • Join adjacent values: This option connects adjacent data points in the data series, effectively filling in any gaps caused by missing values. The benefit of joining adjacent values is that it can provide a smoother, more continuous visualization of your data.
  • Fill with zeros: This option replaces any missing or undefined values in the data series with zero. This can be useful if you want to emphasize that the data is missing or undefined, as it causes a drop to zero in your chart.

Variant

Specify the chart type.

Area: An area chart displays the area between the data line and the axes, often filled with a color or pattern. Stacked charts provide the capability to design and implement intricate query dashboards while integrating advanced visualizations, enriching your logging experience over time.

Area chart

Bars: A bar chart represents data in rectangular bars. The length of each bar is proportional to the value it represents. Bar charts can be used to compare discrete quantities, or when you have categorical data.

Bar chart

Line: A line chart connects individual data points into a continuous line, which is useful for showing logs over time. Line charts are often used for time series data.

Line chart

Y-Axis

Specify the scale of the vertical axis.

Linear: A linear scale maintains a consistent scale where equal distances represent equal changes in value. This is the most common scale type and is useful for most types of data.

Linear scale

Log: A logarithmic (or log) scale represents values in terms of their order of magnitude. Each unit of distance on a log scale represents a tenfold increase in value. Log scales make it easy to see backend errors and compare values across a wide range.

Log scale

Annotations

Specify the types of annotations to display in the chart:

  • Show all annotations
  • Hide all annotations
  • Selective determine the annotations types to display
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