Explore and Analyze
The Metrics tab is where everyday analysis happens. It lists every governed metric published from your semantic models and lets you slice, filter, and compare them without writing SQL. Because each metric carries its definition from the model, two people exploring the same metric always get the same number.
This guide walks through finding a metric, shaping a view around it, reading the results, and saving that work so it can be reused in dashboards or shared with your team.
The Metrics Tab
Browse the Metric Catalog
Open Metricsfrom the project sidebar to see every metric available in the active environment. Metrics are grouped by the model that defines them, and search matches on metric name, description, and owning model. Each row shows the metric's label, its aggregation, and the model it came from.
Inspect a Metric Definition
Select a metric to open its detail view. Alongside the chart you get the full definition: the expression, the aggregation type, the time dimension it is anchored to, the dimensions it can be sliced by, and the connector it resolves against. Use this view whenever you need to confirm what a number actually measures before acting on it.
Slice, Filter, and Compare
Add dimensions to break a metric down by category, region, or any other attribute exposed by the model. Filters narrow the population, and the time-range control sets the reporting window along with the grain — day, week, month, quarter, or year. Turn on comparison to place the previous period alongside the current one and surface period-over-period change.
Analyze Several Metrics Together
Metrics that share a time dimension and a compatible grain can be charted together. This is how you check whether two measures move in step — revenue against orders, signups against activations — without exporting anything to a spreadsheet.
Working with Results
Switch Visualization
Every result set can be rendered as a line, bar, or area chart, as a single stat, or as a table. Line and area suit trends over time; bar suits comparison across a dimension; the table view is the one to use when you need exact values or many columns at once.
Inspect the Generated SQL
Open the query inspector to see the SQL Aptrics compiled from your selections, along with execution time and row count. This is the fastest way to explain a number to a data engineer, and it is the same query the Playground would run against your warehouse.
Save and Share an Exploration
Save an exploration to keep its metrics, dimensions, filters, and time range as a named view. Saved explorations can be pinned to a dashboard, reopened by anyone with access to the project, or exported to CSV for one-off use.
Next steps
Turn a saved exploration into a shared view on Dashboards, or ask the same question in plain language with Aptrics AI.