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fix average aggregation type in measure snippet #5926

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Aug 13, 2024
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2 changes: 1 addition & 1 deletion website/snippets/_sl-measures-parameters.md
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
| --- | --- | --- |
| [`name`](/docs/build/measures#name) | Provide a name for the measure, which must be unique and can't be repeated across all semantic models in your dbt project. | Required |
| [`description`](/docs/build/measures#description) | Describes the calculated measure. | Optional |
| [`agg`](/docs/build/measures#aggregation) | dbt supports the following aggregations: `sum`, `max`, `min`, `avg`, `median`, `count_distinct`, `percentile`, and `sum_boolean`. | Required |
| [`agg`](/docs/build/measures#aggregation) | dbt supports the following aggregations: `sum`, `max`, `min`, `average`, `median`, `count_distinct`, `percentile`, and `sum_boolean`. | Required |
| [`expr`](/docs/build/measures#expr) | Either reference an existing column in the table or use a SQL expression to create or derive a new one. | Optional |
| [`non_additive_dimension`](/docs/build/measures#non-additive-dimensions) | Non-additive dimensions can be specified for measures that cannot be aggregated over certain dimensions, such as bank account balances, to avoid producing incorrect results. | Optional |
| `agg_params` | Specific aggregation properties, such as a percentile. | Optional |
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