Where fields live
A data source calculated field is defined once on the source and available to every chart and report using it. A chart-level field exists only in that chart.
Define at source level unless the calculation is genuinely specific to one chart. Chart-level fields scatter logic and are invisible to anyone auditing the source.
Common functions
Text: CONCAT, REGEXP_EXTRACT, REGEXP_MATCH, LOWER, TRIM, SUBSTR.
Logic: CASE WHEN condition THEN result ... ELSE fallback END, and IF(condition, then, else).
Dates: DATE_DIFF, DATETIME_TRUNC, PARSE_DATE.
A typical bucketing field:
CASE
WHEN Sessions > 1000 THEN "High"
WHEN Sessions > 100 THEN "Medium"
ELSE "Low"
ENDAggregation is where people go wrong
A calculated field defined as Revenue / Sessions computes per row and then aggregates — averaging per-row ratios, which is wrong.
The correct form aggregates first: SUM(Revenue) / SUM(Sessions).
This is exactly the same trap as AVG(a/b) versus SUM(a)/SUM(b) in any other tool, and it is the single most common source of subtly wrong numbers in Looker Studio reports.
Set the field's aggregation to Auto when the formula already aggregates; leave it as Sum only when the expression is genuinely row-level.
Parameters
Parameters are user-input values — a number, text, date or a list of options — that can be exposed as a control and referenced in calculated fields.
They drive metric switching (CASE WHEN Selected Metric = "Revenue" THEN SUM(Revenue) ... END), threshold inputs, and pass-through values into a BigQuery custom query. They are the main route to interactivity beyond ordinary filters.