Visualizations

Visualizations are powerful aggregations that are run across your data to produce insights that are easy to understand and monitor.

With Visualizations, teams can create and obtain data stats, group fields and observe methods in running deployments.

This page will introduce you to the visualizations supported by Axiom and some tips on how best to use them.

count

The count visualization will count all matching events and produces a timeseries chart.

Arguments

none

Group-By Behaviour

Visualization will produce a separate result for each group plotted on a timeseries chart.

counts overview

distinct

The distinct visualization counts each distinct occurrance of the distinct field inside the dataset and produce a timeseries chart.

Arguments

  • field: any - a field to aggregate

Group-By Behaviour

Visualization will produce a seperate result for each group plotted on a timeseries chart.

distinct overview

avg

The avg visualization averages the values of the field inside the dataset and produces a timeseries chart

Arguments

  • field: number - a number field

Group-By Behaviour

Visualization will produce a seperate result for each group plotted on a timeseries chart.

average overview

max

The max visualization finds the maximum value of the field inside the dataset and produces a timeseries chart.

Arguments

  • field: number - a number field

Group-By Behaviour

Visualization will produce a seperate result for each group plotted on a timeseries chart.

max overview

min

The min visualization finds the minimum value of the field inside the dataset and produces a timeseries chart.

Arguments

  • field: number - a number field

Group-By Behaviour

Visualization will produce a seperate result for each group plotted on a timeseries chart.

min overview

sum

The sum visualization adds all the values of the field inside the dataset and produces a timeseries chart.

Arguments

  • field: number - a number field

Group-By Behaviour

Visualization will produce a seperate result for each group plotted on a timeseries chart.

sum overview

percentiles

The percentiles visualization calculates the requested percentiles of the field in the dataset and produces a timeseries chart.

Arguments

  • field: number - a number field
  • percentiles: number [, ...] - one or more percentiles (a float between 0 and 100)
    • e.g. percentiles(request_size, 95, 99, 99.9)

Group-By Behaviour

Visualization will produce a seperate result for each group plotted on a horizonal bar chart, allowing for visual comparison across the groups.

sum overview

histogram

The histogram visualization buckets the field into a distribution of N buckets, returning a timeseries heatmap chart.

Arguments

  • field: number - a number field
  • nBuckets: number of buckets to return
    • e.g. histogram(request_size, 15)

Group-By Behaviour

Visualization will produce a seperate result for each group plotted on a timeseries histogram. Hovering over a group in the totals table will show only the results for that group in the histogram.

histogram overview

topk

The topk visualization calculates the top values for a field in a dataset. Where k can be 10, 20 or any number you specify.

Arguments

  • field: string - a string field
  • nResults: number of results to return
    • e.g. topk(method, 10)

Group-By Behaviour

Visualization will produce a seperate result for each group plotted on a timeseries chart.

topk overview