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Updated 4.0 fields tab (markdown)

CaseyStokes committed 2014-07-23 23:17:16 -0400 commit 19e364bfe5b9b4aa15340f604427140aed4288e2

				Guides/ReportDesign/4.0-fields-tab.md
			
          @@ -170,6 +170,8 @@ To access the Advanced Field Settings, click on the Gear icon on the selected Fi

           |Value Ranges|Lets you set text values for number ranges. (i.e. setting this to 0 to 10:Under will display the text "Under" when it encounters a value between 0 and 10 for that column).|

           |Expression|Allows you to define a customized mathematical or SQL expression to show as the value for the column cells. See more about [[Expressions|http://wiki.izenda.us/Guides/ReportDesign/15.0-Expressions-in-Izenda]]|

          +For more information: http://wiki.izenda.us/FAQ/advanced-field-settings

          +

           ##4.9 Add Pivot

           The Add Pivot button allows you to generate analytical data grids and essentially adds extra columns to the right side of the report. These extra columns are based on the logical grouping function that you can define in your pivot. (e.g. pivoting a money column with a Group (Year) function will display each year's total for as many years as exist in your dataset.

...	...	@@ -170,6 +170,8 @@ To access the Advanced Field Settings, click on the Gear icon on the selected Fi
170	170	\|Value Ranges\|Lets you set text values for number ranges. (i.e. setting this to 0 to 10:Under will display the text "Under" when it encounters a value between 0 and 10 for that column).\|
171	171	\|Expression\|Allows you to define a customized mathematical or SQL expression to show as the value for the column cells. See more about [[Expressions\|http://wiki.izenda.us/Guides/ReportDesign/15.0-Expressions-in-Izenda]]\|
172	172
	173	+For more information: http://wiki.izenda.us/FAQ/advanced-field-settings
	174	+
173	175	##4.9 Add Pivot
174	176
175	177	The Add Pivot button allows you to generate analytical data grids and essentially adds extra columns to the right side of the report. These extra columns are based on the logical grouping function that you can define in your pivot. (e.g. pivoting a money column with a Group (Year) function will display each year's total for as many years as exist in your dataset.