QPR ProcessAnalyzer Pivot Table: Difference between revisions

From QPR ProcessAnalyzer Wiki
Jump to navigation Jump to search
No edit summary
(41 intermediate revisions by the same user not shown)
Line 1: Line 1:
The '''Pivot Table''' visualizes measures divided into several dimensions where one dimension can be shown as rows and another dimension as columns. Compared to the '''Table''', the rows in the Pivot Table work similarly, but unlike the Table, in the Pivot Table the number of columns changes dynamically based on number of values in the dimension.
Pivot table visualizes data organized as dynamical rows and columns and aggregated numerical values. Compared to the [[QPR_ProcessAnalyzer_Table|table]], rows in the pivot table work similarly, but in the pivot table the number of columns is determined dynamically based on the data. It's also possible set several dimensions as rows and columns to create hierarchical visualization.


Pivot Table has the following functionalities:
== Pivot Table Functionalities ==
* Pivot table is able to show several measures at the same time.
Pivot table has the following functionalities:
* The first dimension is linked to the pivot table rows and the second dimension is linked to the columns.
* Pivot table can show several measures (i.e., values) in the same table by defining several measures, dimensions or columns and mapping them the to the '''Values''' (''Mapping to visualization'' in the measure, dimension or column settings). By default, the measure expressions are shown as the pivot table values.
* The third dimension is linked to the rows as a sub level, and the fourth linked to the columns as a sub level (the sub levels can be expanded from the arrow icon).
* There can be several measures, dimensions or columns mapped to the pivot table '''Rows'''. When there are more than one mapped, they are shown as a hierarchical structure. By default, the first dimension expression is shown in rows.
* Pivot table columns work similarly as the rows, so there can be several measures, dimensions or columns mapped to the pivot table '''Columns'''. By default, the second dimension is shown as columns.
* When rows or columns show the hierarchy, the branches in the hierarchy can be expanded and collapsed. By default, branches are collapsed, but they can be set as expanded on open by using the [[#Expand_Hierarchy|Layout settings]].
* Values are aggregated using the '''Pivot table aggregation''' setting in the measure, dimension and column settings. All aggregations can be used with the numerical measures, dimensions and columns, and also the ''Count'' and ''Distinct count'' can be used with any type of measures, dimensions and columns.
* Rows and columns are sorted based on the ''Sorting'' settings (in the ''General'' tab). If needed, use the custom sorting to get the desired sorting.
* Data can also be sorted by a certain value column by clicking the column header. Sorting by values can also be stored to the dashboard, so that the values sorting is applied when the dashboard is opened. This is done by using the ''Custom layout'' settings (see the examples below for values sorting).
* Appearance of the shown data points in rows, columns and values can be changed in the measure, dimension and column settings by using settings ''Round to decimals'', ''Unit'', ''Unit position'' and ''Date format''.
* Title for the pivot table can be set in the ''General'' tab.
* Columns can be resized by dragging the border between column headers. The changed widths are not stored to the dashboard.
* Pivot table can be exported as Excel, pdf and csv (open settings,  ''General'' tab and ''Export as...'').
* For advanced needs, the pivot table settings can be customized by using the ''Custom layout'' settings. Available options are described in https://ej2.syncfusion.com/documentation/pivotview/.
 
==Conditional Formatting==
Pivot table has the same [[QPR_ProcessAnalyzer_Table#Conditional_formatting|conditional formatting]] options as the table. Conditional formatting allows to set pivot table value cells background color and text color based on the shown values to improve the illustration. It's also possible to show a databar and icon in the value cells.
 
==Customization Examples==
Using the '''Custom Layout''' field (in the '''Visual''' tab), the pivot table functionality and visual appearance can be adjusted for custom needs. This chapter contains examples of common customizations.
 
=== Hide Grand Totals ===
Grand totals can be hidden, and there are following settings separately for rows and columns:
<pre>
{
  "dataSourceSettings": {
    "showColumnGrandTotals": false,
    "showRowGrandTotals": false
  }
}
</pre>
 
=== Sort Rows by Measure Values ===
It's possible to sort the pivot table rows using values in a certain column (''New York'' in the example below) as follows:
<pre>
{
  "dataSourceSettings": {
    "valueSortSettings": {
      "headerText": "New York",
      "sortOrder": "Ascending"
    }
  }
}
</pre>
 
The above example works, if there is one value column. If there are several values, the value used for sorting need to be specified (''Case count'' in the example below)in addition to the column name as follows:
<pre>
{
  "dataSourceSettings": {
    "valueSortSettings": {
      "headerText": "New York#Case count",
      "sortOrder": "Descending",
      "headerDelimiter": "#"
    }
  }
}
</pre>
 
=== Sort Columns by Measure Values ===
It's possible to sort the pivot table columns based on the values. The principle is the same as with sorting the rows except ''valueAxis'' setting needs to be set to ''rows'':
<pre>
{
  "dataSourceSettings": {
    "valueAxis": "row",
    "valueSortSettings": {
      "headerText": "New York",
      "sortOrder": "Descending"
    }
  }
}
</pre>
 
This example sorts columns based on the ''Grand Total'':
<pre>
{
  "dataSourceSettings": {
    "valueAxis": "row",
    "valueSortSettings": {
      "headerText": "Grand Total",
      "sortOrder": "Descending"
    }
  }
}
</pre>
 
=== Expand Hierarchy ===
By default, the second level in the rows or columns hierarchy is collapsed. Use this setting to expand the hierarchies by default:
<pre>
{
  "dataSourceSettings": {
    "expandAll": true
  }
}
</pre>
 
[[Category: QPR ProcessAnalyzer]]

Revision as of 11:45, 20 January 2023

Pivot table visualizes data organized as dynamical rows and columns and aggregated numerical values. Compared to the table, rows in the pivot table work similarly, but in the pivot table the number of columns is determined dynamically based on the data. It's also possible set several dimensions as rows and columns to create hierarchical visualization.

Pivot Table Functionalities

Pivot table has the following functionalities:

  • Pivot table can show several measures (i.e., values) in the same table by defining several measures, dimensions or columns and mapping them the to the Values (Mapping to visualization in the measure, dimension or column settings). By default, the measure expressions are shown as the pivot table values.
  • There can be several measures, dimensions or columns mapped to the pivot table Rows. When there are more than one mapped, they are shown as a hierarchical structure. By default, the first dimension expression is shown in rows.
  • Pivot table columns work similarly as the rows, so there can be several measures, dimensions or columns mapped to the pivot table Columns. By default, the second dimension is shown as columns.
  • When rows or columns show the hierarchy, the branches in the hierarchy can be expanded and collapsed. By default, branches are collapsed, but they can be set as expanded on open by using the Layout settings.
  • Values are aggregated using the Pivot table aggregation setting in the measure, dimension and column settings. All aggregations can be used with the numerical measures, dimensions and columns, and also the Count and Distinct count can be used with any type of measures, dimensions and columns.
  • Rows and columns are sorted based on the Sorting settings (in the General tab). If needed, use the custom sorting to get the desired sorting.
  • Data can also be sorted by a certain value column by clicking the column header. Sorting by values can also be stored to the dashboard, so that the values sorting is applied when the dashboard is opened. This is done by using the Custom layout settings (see the examples below for values sorting).
  • Appearance of the shown data points in rows, columns and values can be changed in the measure, dimension and column settings by using settings Round to decimals, Unit, Unit position and Date format.
  • Title for the pivot table can be set in the General tab.
  • Columns can be resized by dragging the border between column headers. The changed widths are not stored to the dashboard.
  • Pivot table can be exported as Excel, pdf and csv (open settings, General tab and Export as...).
  • For advanced needs, the pivot table settings can be customized by using the Custom layout settings. Available options are described in https://ej2.syncfusion.com/documentation/pivotview/.

Conditional Formatting

Pivot table has the same conditional formatting options as the table. Conditional formatting allows to set pivot table value cells background color and text color based on the shown values to improve the illustration. It's also possible to show a databar and icon in the value cells.

Customization Examples

Using the Custom Layout field (in the Visual tab), the pivot table functionality and visual appearance can be adjusted for custom needs. This chapter contains examples of common customizations.

Hide Grand Totals

Grand totals can be hidden, and there are following settings separately for rows and columns:

{
  "dataSourceSettings": {
    "showColumnGrandTotals": false,
    "showRowGrandTotals": false
  }
}

Sort Rows by Measure Values

It's possible to sort the pivot table rows using values in a certain column (New York in the example below) as follows:

{
  "dataSourceSettings": {
    "valueSortSettings": {
      "headerText": "New York",
      "sortOrder": "Ascending"
    }
  }
}

The above example works, if there is one value column. If there are several values, the value used for sorting need to be specified (Case count in the example below)in addition to the column name as follows:

{
  "dataSourceSettings": {
    "valueSortSettings": {
      "headerText": "New York#Case count",
      "sortOrder": "Descending",
      "headerDelimiter": "#"
    }
  }
}

Sort Columns by Measure Values

It's possible to sort the pivot table columns based on the values. The principle is the same as with sorting the rows except valueAxis setting needs to be set to rows:

{
  "dataSourceSettings": {
    "valueAxis": "row",
    "valueSortSettings": {
      "headerText": "New York",
      "sortOrder": "Descending"
    }
  }
}

This example sorts columns based on the Grand Total:

{
  "dataSourceSettings": {
    "valueAxis": "row",
    "valueSortSettings": {
      "headerText": "Grand Total",
      "sortOrder": "Descending"
    }
  }
}

Expand Hierarchy

By default, the second level in the rows or columns hierarchy is collapsed. Use this setting to expand the hierarchies by default:

{
  "dataSourceSettings": {
    "expandAll": true
  }
}