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.
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.
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.
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.
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.
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.
percentiles
The percentiles visualization calculates the requested percentiles of the field in the dataset and produces a timeseries chart.
Arguments
field: number- a number fieldpercentiles: number [, ...]- one or more percentiles (a float between 0 and 100)- e.g.
percentiles(request_size, 95, 99, 99.9)
- e.g.
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.
histogram
The histogram visualization buckets the field into a distribution of N buckets, returning a timeseries heatmap chart.
Arguments
field: number- a number fieldnBuckets: number of buckets to return- e.g.
histogram(request_size, 15)
- e.g.
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.
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 fieldnResults: number of results to return- e.g.
topk(method, 10)
- e.g.
Group-By Behaviour
Visualization will produce a seperate result for each group plotted on a timeseries chart.
