Pivot Table is a macro bundled within Table Filter and Charts for Confluence add-on. It allows you to create pivot tables with aggregated and summarized data on the basis of repeated values from the source table.
Parameters
The add-on adds the Pivot table macro. You can add this macro onto your Confluence page and further paste any table into the macro body. You can also insert the macros that generate the table data and get a pivot table with aggregated values. The following parameters are available to you:
Parameter | Parameter Name | Default | Description |
---|---|---|---|
column | Row Labels | The column that contains row labels that will be grouped into a pivot table. | |
aggregation | Calculated Column | The column with data values that will be processed according to the selected operation type. | |
decimals | Decimal places | Number of decimal places in data values. | |
decimalseparator | Decimal separator | Point (.) | The sign used as a decimal separator. |
id | Macro ID | Assigned automatically | ID of the macro in Confluence. |
type | Operation Type | Count | Type of the operation that is performed on data values containing in the Calculated Column. |
separator | Thousands separator | The sign that is used as a thousands separator. | |
showrawdata | Show the source table | False | Option that enables display of the source table data used for generation of the pivot table. |
hidePane | Hide control panel | False | Option that hides the control panel for management of the pivot table. |
Pivot tables in Confluence
You can expand the section below and see the source table that is used for generation of a pivot table with aggregated values.
You can use the dedicated panel to change the calculated column and select the appropriate operation type from the following ones:
- Count - counts the number of values pertaining to one label in the source table.
- Max - determines the maximal value per each label.
- Min - determines the minimal value per each label.
- Average - calculates the average values per each label.
- Sum - calculates the sum of values per each label.
Feel free to work with the sample Pivot table for getting aggregated data values. You can always save any modifications made in the macro's parameters by clicking Save settings in the page view mode.
Sample Pivot Table
Use Hint
Try to change the calculated column among the following table columns:
- Tickets per Hour
- Average Time per Ticket (min)
- Calls per Hour
- Average Time per Call (min)
- Money ($)
Try to change the operation type among the following ones:
- Max
- Min
- Average
- Sum
- Count
Select multiple operations for the same column to view the correlations between values at once.
Agent | Tickets per Hour | Average Time per Ticket (min) | Calls per Hour | Average Time per Call (min) | Money ($) |
---|---|---|---|---|---|
Remy Deomampo | 6.9 | 3.0 | 2.2 | 6.1 | 2 875.00 |
Rahul Dickson | 8.0 | 1.6 | 4.4 | 4.8 | 5 270.00 |
Radu Donahue | 3.6 | 7.0 | 3.7 | 5.2 | 4 886.00 |
Preston Doorey | 2.2 | 6.9 | 4.8 | 7.5 | 5 237.00 |
Remy Deomampo | 4.4 | 5.7 | 2.4 | 4.6 | 3 140.00 |
Rahul Dickson | 4.5 | 2.3 | 2.6 | 4.3 | 5 249.00 |
Radu Donahue | 7.5 | 3.2 | 1.1 | 5.3 | 2 572.00 |
Preston Doorey | 6.7 | 6.1 | 4.7 | 6 | 2 944.00 |
Phill Doyle | 8.1 | 5.9 | 2.1 | 6.3 | 3 767.00 |
Remy Deomampo | 2.7 | 5.3 | 4.6 | 6.2 | 3 206.00 |
Rahul Dickson | 4.3 | 3.2 | 4.0 | 7.2 | 3 625.00 |
Radu Donahue | 5.6 | 1.7 | 4.9 | 7.6 | 1 399.00 |
Preston Doorey | 5.8 | 3.5 | 3.8 | 4.3 | 5 121.00 |
Remy Deomampo | 8.7 | 4.9 | 2.0 | 7.3 | 4 170.00 |
Rahul Dickson | 8.8 | 1.4 | 2.9 | 4.2 | 2 032.00 |
Radu Donahue | 2.9 | 4.4 | 3.6 | 5 | 3 418.00 |
Preston Doorey | 2.6 | 5.0 | 1.3 | 4.9 | 1 364.00 |
Phill Doyle | 6.3 | 3.3 | 2.0 | 6.8 | 3 554.00 |
Remy Deomampo | 5.7 | 2.4 | 4.8 | 3.9 | 4 005.00 |
Remy Deomampo | 3.6 | 3.1 | 3.4 | 3.3 | 4 672.00 |
Rahul Dickson | 4.9 | 1.1 | 1.8 | 7.1 | 4 711.00 |
Radu Donahue | 2.9 | 5.8 | 1.6 | 5.4 | 4 908.00 |
Preston Doorey | 5.7 | 1.2 | 4.6 | 5.5 | 5 162.00 |
Phill Doyle | 2.7 | 4.1 | 3.0 | 5.4 | 4 227.00 |
Philip Druckman | 5.8 | 2.6 | 4.2 | 4.3 | 2 701.00 |