Calculated Attributes

Calculated Attributes

Most dataset attributes map to a column in your uploaded file. A calculated attribute works differently: its value is computed from an expression — for example to combine columns, extract parts of a timestamp, or categorize rows. Once created, it behaves like any other attribute in filters, charts, and metrics.

When to Use One

• Derive new values without changing the source file — for example extracting a month from a timestamp or splitting a combined field.
• Standardize data — map free-text categories onto consistent values before analysis.
• Prepare reusable calculations — define a value once and use it in filters, charts, and metric expressions.

Creating a Calculated Attribute

1. Open Data, select your dataset, and go to the Attributes tab.
2. Click Add Attribute and choose Expression Attribute.
3. A new row appears with the default name New Expression, and the Expression Editor opens straight away. Write the expression using the reference panel and check the live preview.
4. Click Save. The attribute’s data type is inferred from the expression.
5. Rename the attribute inline and toggle Visible as needed. New and updated values are recalculated in the background; the Values column refreshes when they are ready.

The toggle group above the table (All, Data Source, Expression) filters the list to calculated attributes only, so you can review them separately.

Editing and Removing

• Reopen the expression — click the cell in the Mapping / Expression column (an empty expression shows the hint Click to add expression).
• Rename — click the display name.
• Hide or show — use the Visible toggle.
• Delete — choose Delete attribute from the row’s menu. Note that the bulk action Delete all attributes without data! also removes expression-driven attributes: it deletes every attribute that has no source column, including calculated ones.

Where the Results Are Used

Calculated attributes are available everywhere attributes are:

• filters on dashboards and the process graph,
• dimensions and metrics in charts and custom dashboards,
• metric expressions — and other calculated attributes can reference them too.

Related topics

• Dataset Attributes: the full attribute table explained.
• Configuring Your Dataset: the dataset tabs and settings.
• Expression Editor: writing and validating expressions.
• Expression Language: the function reference.
• Using Filters: filtering with attributes.
• Metrics: how attributes become metrics.

Frequently asked questions