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+---
+title: Use multiple fields in a calculation
+description: >
+  Query multiple fields, pivot results, and use multiple field values to
+  calculate new values in query results.
+influxdb/cloud/tags: [queries]
+menu:
+  influxdb_cloud:
+    parent: Common queries
+weight: 204
+---
+
+{{< duplicate-oss >}}
\ No newline at end of file
diff --git a/content/influxdb/v2.0/query-data/common-queries/multiple-fields-in-calculations.md b/content/influxdb/v2.0/query-data/common-queries/multiple-fields-in-calculations.md
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+---
+title: Use multiple fields in a calculation
+description: >
+  Query multiple fields, pivot results, and use multiple field values to
+  calculate new values in query results.
+influxdb/v2.0/tags: [queries]
+menu:
+  influxdb_2_0:
+    parent: Common queries
+weight: 204
+---
+
+To use values from multiple fields in a mathematic calculation:
+
+1. [Filter by fields required in your calculation](#filter-by-fields)
+2. [Pivot fields into columns](#pivot-fields-into-columns)
+3. [Perform the mathematic calculation](#perform-the-calculation)
+
+## Filter by fields
+Use [`filter()`](/influxdb/v2.0/reference/flux/stdlib/built-in/transformations/filter/)
+to return only the fields necessary for your calculation.
+Use the [`or` logical operator](/influxdb/v2.0/reference/flux/language/operators/#logical-operators)
+to filter by multiple fields.
+
+The following example queries two fields, `A` and `B`:
+
+```js
+from(bucket: "example-bucket")
+  |> range(start: -1m)
+  |> filter(fn: (r) => r._field == "A" or r._field == "B")
+```
+
+This query returns one or more tables for each field. For example:
+
+{{< flex >}}
+{{% flex-content %}}
+| _time                | _field | _value |
+|:-----                |:------:| ------:|
+| 2021-01-01T00:00:00Z | A      | 12.4   |
+| 2021-01-01T00:00:15Z | A      | 12.2   |
+| 2021-01-01T00:00:30Z | A      | 11.6   |
+| 2021-01-01T00:00:45Z | A      | 11.9   |
+{{% /flex-content %}}
+{{% flex-content %}}
+| _time                | _field | _value |
+|:-----                |:------:| ------:|
+| 2021-01-01T00:00:00Z | B      | 3.1    |
+| 2021-01-01T00:00:15Z | B      | 4.8    |
+| 2021-01-01T00:00:30Z | B      | 2.2    |
+| 2021-01-01T00:00:45Z | B      | 3.3    |
+{{% /flex-content %}}
+{{< /flex >}}
+
+## Pivot fields into columns
+Use [`pivot()`](/influxdb/v2.0/reference/flux/stdlib/built-in/transformations/pivot/)
+to align multiple fields by time.
+
+{{% note %}}
+To correctly pivot on `_time`, points for each field must have identical timestamps.
+If timestamps are irregular or do not align perfectly, see
+[Normalize irregular timestamps](/influxdb/v2.0/query-data/flux/manipulate-timestamps/#normalize-irregular-timestamps).
+{{% /note %}}
+
+```js
+// ...
+  |> pivot(
+    rowKey:["_time"],
+    columnKey: ["_field"],
+    valueColumn: "_value"
+  )
+```
+
+Using the queried data [above](#filter-by-fields), this `pivot()` function returns:
+
+| _time                | A      | B      |
+|:-----                | ------:| ------:|
+| 2021-01-01T00:00:00Z | 12.4   | 3.1    |
+| 2021-01-01T00:00:15Z | 12.2   | 4.8    |
+| 2021-01-01T00:00:30Z | 11.6   | 2.2    |
+| 2021-01-01T00:00:45Z | 11.9   | 3.3    |
+
+## Perform the calculation
+Use [`map()`](/influxdb/v2.0/reference/flux/stdlib/built-in/transformations/map/)
+to perform the mathematic operation using column values as operands.
+
+The following example uses values in the `A` and `B` columns to calculate a new `_value` column:
+
+```js
+// ...
+  |> map(fn: (r) => ({ r with _value: r.A * r.B }))
+```
+
+Using the pivoted data above, this `map()` function returns:
+
+| _time                | A      | B      | _value |
+|:-----                | ------:| ------:| ------:|
+| 2021-01-01T00:00:00Z | 12.4   | 3.1    | 38.44  |
+| 2021-01-01T00:00:15Z | 12.2   | 4.8    | 58.56  |
+| 2021-01-01T00:00:30Z | 11.6   | 2.2    | 25.52  |
+| 2021-01-01T00:00:45Z | 11.9   | 3.3    | 39.27  |
+
+## Full example query
+```js
+from(bucket: "example-bucket")
+  |> range(start: -1m)
+  |> filter(fn: (r) => r._field == "A" or r._field == "B")
+  |> pivot(rowKey:["_time"], columnKey: ["_field"], valueColumn: "_value")
+  |> map(fn: (r) => ({ r with _value: r.A * r.B }))
+```