Avg - chart function

Avg() returns the aggregated average of the expression or field iterated over the chart dimensions.

Syntax:

Avg([{SetExpression}] [DISTINCT] [TOTAL [<fld{, fld}>]] expr)

Return data type: numeric

Arguments:

Arguments
Argument	Description
expr	The expression or field containing the data to be measured.
SetExpression	By default, the aggregation function will aggregate over the set of possible records defined by the selection. An alternative set of records can be defined by a set analysis expression.
DISTINCT	If the word DISTINCT occurs before the function arguments, duplicates resulting from the evaluation of the function arguments are disregarded.
TOTAL	If the word TOTAL occurs before the function arguments, the calculation is made over all possible values given the current selections, and not just those that pertain to the current dimensional value, that is, it disregards the chart dimensions. By using TOTAL [<fld {.fld}>], where the TOTAL qualifier is followed by a list of one or more field names as a subset of the chart dimension variables, you create a subset of the total possible values. Defining the aggregation scope

Limitations:

The parameter of the aggregation function must not contain other aggregation functions, unless these inner aggregations contain the TOTAL qualifier. For more advanced nested aggregations, use the advanced function Aggr, in combination with a specified dimension.

Examples and results:

Example table
Customer	Jan	Feb	Mar	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec
Astrida	46	60	70	13	78	20	45	65	78	12	78	22
Betacab	65	56	22	79	12	56	45	24	32	78	55	15
Canutility	77	68	34	91	24	68	57	36	44	90	67	27
Divadip	57	36	44	90	67	27	57	68	47	90	80	94

Function examples
Example	Result
Avg(Sales)	For a table including the dimension `Customer` and the measure Avg([Sales]), if Totals are shown, the result is 2566.
Avg([TOTAL (Sales))	53.458333 for all values of Customer, because the TOTAL qualifier means that dimensions are disregarded.
Avg(DISTINCT (Sales))	51.862069 for the total, because using the Distinct qualifier means only unique values in Sales for each Customer are evaluated.

Data used in examples:

Monthnames: LOAD *, Dual(MonthText,MonthNumber) as Month INLINE [ MonthText, MonthNumber Jan, 1 Feb, 2 Mar, 3 Apr, 4 May, 5 Jun, 6 Jul, 7 Aug, 8 Sep, 9 Oct, 10 Nov, 11 Dec, 12 ]; Sales2013: Crosstable (MonthText, Sales) LOAD * inline [ Customer|Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec Astrida|46|60|70|13|78|20|45|65|78|12|78|22 Betacab|65|56|22|79|12|56|45|24|32|78|55|15 Canutility|77|68|34|91|24|68|57|36|44|90|67|27 Divadip|57|36|44|90|67|27|57|68|47|90|80|94 ] (delimiter is '|');

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