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+---
+sheet: PivotSheet
+---
+# Pivot Tables are just Frequency Tables with more columns
+
+Pivot Tables group rows by key columns, summarizing aggregated columns for each distinct value in the current column.
+
+See the **MeltGuide** to unpivot.
+
+## Create a Pivot Table
+
+1. Set the primary column(s) as *key columns*. The values in this column will appear along the left side as row headings, and will be the values the dataset is grouped by.
+
+- {help.commands.key_col}
+
+2. (OPTIONAL) The default aggregation method for pivot cells is `count`. Add other aggregations to columns before building the pivot table. Each aggregation adds a column for every pivot column. See **Examples** below.
+
+Note: Custom aggregations replace the default `count` aggregation.
+
+- {help.commands.aggregate_col}
+
+3. Move the cursor to the column containing the pivot values to be aggregated for each group.
+
+4. Create the pivot table:
+
+- {help.commands.pivot}
+
+## Pivot Sheet
+
+Each cell in the pivot table, as in a **Frequency Table**, links to the underlying rows. Dive into a row to open a new sheet containing the linked rows.
+
+- {help.commands.open-row}
+
+## Examples
+
+Sample input sheet **sales**:
+
+   date        color  price
+   ----------  -----  -----
+   2024-09-01  R      30
+   2024-09-02  B      28
+   2024-09-03  R      100
+   2024-09-03  B      33
+   2024-09-03  B      99
+
+
+1. [:keys]![/] (`key-col`) on the **date** column to set it as a key column.
+2. [:keys]Shift+W[/] (`pivot`) on the **color** column to open a **Pivot Table** grouped by **date**, and summarizing **color**.
+
+   date        R  B
+   ----------  -  -
+   2024-09-01  1  0
+   2024-09-02  0  1
+   2024-09-03  1  2
+
+Note that each cell contains the row count because of the default `count` aggregation.
+
+3. [:keys]q[/] (`quit-sheet`) to return to the original **sales** sheet.
+4. [:keys]#[/] (`type-float`) on the **price** column to set its type to float.
+5. [:keys]+[/] (`aggregate-col`) to add a `sum` aggregate to the **price** column.
+6. [:keys]+[/] (`aggregate-col`) to add an `avg` aggregate to the **price** column.
+7. [:keys]Shift+W[/] (`pivot`) on the **color** column to create the **PivotSheet**.
+
+This generates each aggregation for all of the pivot columns. As mentioned above, any custom aggregations replace the default `count` aggregation:
+
+
+   date        sum_R   avg_R   sum_B   avg_B
+   ----------  ------  ------  ------  -----
+   2024-09-01   30.00   30.00    0.00
+   2024-09-02    0.00           28.00  28.00
+   2024-09-03  100.00  100.00  132.00  66.00