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 occurrence 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 separate 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 separate 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 separate 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 separate 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 separate 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 separate result for each group plotted on a horizontal 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 separate 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 separate result for each group plotted on a timeseries chart.
variance
The variance
visualization calculates the variance of the field in the dataset and produces a timeseries chart. Variance is calculated by taking the difference between each item in a dataset and the mean, squaring that number, summing them all up, and then dividing by one less than the number of events in a dataset.
- The variance aggregation returns the sample variance of the fields of the dataset.
Arguments
field: number
- a number field
Group-By Behaviour
Visualization will produce a separate result for each group plotted on a timeseries chart.
stddev
The stddev
visualization calculates the standard deviation of the field in the dataset and produces a timeseries chart. Standard deviation is the square root
of the variance.
- The stdev aggregation returns the sample standard deviation of the fields of the dataset.
Arguments
field: number
- a number field
Group-By Behaviour
Visualization will produce a separate result for each group plotted on a timeseries chart.