This section explains how to use the Axiom Processing Language to get deeper insights from your data.
|
).
A typical APL query has the following structure:
DatasetName
is the name of the dataset you want to query.Operator
is an operation you apply to the data.let
statement.github-issue-comment-event
as its data source. It uses the following operators:
isBot
to the query results. It sets the values of the new field to true if the values of the actor
field in the original dataset contain -bot
or [bot]
.isBot
field. It only returns rows where the value is true.|
).
actor
field where isBot
is true, and the chart displays the distribution of these counts over time.
actor | count_ |
---|---|
github-actions[bot] | 487 |
sonarqubecloud[bot] | 208 |
dependabot[bot] | 148 |
vercel[bot] | 91 |
codecov[bot] | 63 |
openshift-ci[bot] | 52 |
coderabbitai[bot] | 43 |
netlify[bot] | 37 |
).
)-
)'
or "
) and square brackets ([]
). For example, ['my-field']
.
For more information on rules about naming and quoting entities, see Entity names.