# Ways to apply pivot table calculations
You can apply table calculations in the ways described following. Table calculations are applied to only one field at a time. Thus, if you have a pivot table with multiple values, calculations are only applied to the cells representing the field that you applied the calculation to.
**Topics**
+ [Table across](#table-across)
+ [Table down](#table-down)
+ [Table across down](#table-across-down)
+ [Table down across](#table-down-across)
+ [Group across](#group-across)
+ [Group down](#group-down)
+ [Group across down](#group-across-down)
+ [Group down across](#group-down-across)
## Table across
Using **Table across** applies the calculation across the rows of the pivot table, regardless of any grouping. This application is the default. For example, take the following pivot table.
Applying the **Running total** function using **Table across** gives you the following results, with row totals in the last column.
## Table down
Using **Table down** applies the calculation down the columns of the pivot table, regardless of any grouping.
Applying the **Running total** function using **Table down** gives you the following results, with column totals in the last row.
## Table across down
Using **Table across down** applies the calculation across the rows of the pivot table, and then takes the results and reapplies the calculation down the columns of the pivot table.
Applying the **Running total** function using **Table across down** gives you the following results. In this case, totals are summed both down and across, with the grand total in the lower-right cell.
In this case, suppose that you apply the **Rank** function using **Table across down**. Doing so means that the initial ranks are determined across the table rows and then those ranks are in turn ranked down the columns. This approach gives you the following results.
## Table down across
Using **Table down across** applies the calculation down the columns of the pivot table. It then takes the results and reapplies the calculation across the rows of the pivot table.
You can apply the **Running total** function using **Table down across** to get the following results. In this case, totals are summed both down and across, with the grand total in the lower-right cell.
You can apply the **Rank** function using **Table down across** to get the following results. In this case, the initial ranks are determined down the table columns. Then those ranks are in turn ranked across the rows.
## Group across
Using **Group across** applies the calculation across the rows of the pivot table within group boundaries, as determined by the second level of grouping applied to the columns. For example, if you group by field-2 and then by field-1, grouping is applied at the field-2 level. If you group by field-3, field-2, and field-1, grouping is again applied at the field-2 level. When there is no grouping, **Group across** returns the same results as **Table across**.
For example, take the following pivot table where columns are grouped by `Service Line` and then by `Consumption Channel`.
You can apply the **Running total** function using **Group across** to get the following results. In this case, the function is applied across the rows, bounded by the columns for each service category group. The `Mobile` columns display the total for both `Consumption Channel` values for the given `Service Line`, for the `Customer Region` and `Date` (year) represented by the given row. For example, the highlighted cell represents the total for the `APAC` region for `2012`, for all `Consumption Channel` values in the `Service Line` named `Billing`.
## Group down
Using **Group down** applies the calculation down the columns of the pivot table within group boundaries, as determined by the second level of grouping applied to the rows. For example, if you group by field-2 and then by field-1, grouping is applied at the field-2 level. If you group by field-3, field-2, and field-1, grouping is again applied at the field-2 level. When there is no grouping, **Group down** returns the same results as **Table down**.
For example, take the following pivot table where rows are grouped by `Customer Region` and then by `Date` (year).
You can apply the **Running total** function using **Group down** to get the following results. In this case, the function is applied down the columns, bounded by the rows for each `Customer Region` group. The `2014` rows display the total for all years for the given `Customer Region`, for the `Service Line` and `Consumption Channel` represented by the given column. For example, the highlighted cell represents the total the `APAC` region, for the `Billing` service for the `Mobile` channel, for all the `Date` values (years) that display in the report.
## Group across down
Using **Group across down** applies the calculation across the rows within group boundaries, as determined by the second level of grouping applied to the columns. Then the function takes the results and reapplies the calculation down the columns of the pivot table. It does so within group boundaries as determined by the second level of grouping applied to the rows.
For example, if you group a row or column by field-2 and then by field-1, grouping is applied at the field-2 level. If you group by field-3, field-2, and field-1, grouping is again applied at the field-2 level. When there is no grouping, **Group across down** returns the same results as **Table across down**.
For example, take the following pivot table where columns are grouped by `Service Line` and then by `Consumption Channel`. Rows are grouped by `Customer Region` and then by `Date` (year).
You can apply the **Running total** function using **Group across down** to get the following results. In this case, totals are summed both down and across within the group boundaries. Here, these boundaries are `Service Line` for the columns and `Customer Region` for the rows. The grand total appears in the lower-right cell for the group.
You can apply the **Rank** function using **Group across down** to get the following results. In this case, the function is first applied across the rows bounded by each `Service Line` group. The function is then applied again to the results of that first calculation, this time applied down the columns bounded by each `Customer Region` group.
## Group down across
Using **Group down across** applies a calculation down the columns within group boundaries, as determined by the second level of grouping applied to the rows. Then Amazon Quick takes the results and reapplies the calculation across the rows of the pivot table. Again, it reapplies the calculation within group boundaries as determined by the second level of grouping applied to the columns.
For example, if you group a row or column by field-2 and then by field-1, grouping is applied at the field-2 level. If you group by field-3, field-2, and field-1, grouping is again applied at the field-2 level. When there is no grouping, **Group down across** returns the same results as **Table down across**.
For example, take the following pivot table. Columns are grouped by `Service Line` and then by `Consumption Channel`. Rows are grouped by `Customer Region` and then by `Date` (year).
You can apply the **Running total** function using **Group down across** to get the following results. In this case, totals are summed both down and across within the group boundaries. In this case, these are `Service Category` for the columns and `Customer Region` for the rows. The grand total is in the lower-right cell for the group.
You can apply the **Rank** function using **Group down across** to get the following results. In this case, the function is first applied down the columns bounded by each `Customer Region` group. The function is then applied again to the results of that first calculation, this time applied across the rows bounded by each `Service Line` group.
