
Using MDX with DeepSee
Adding Summaries



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This chapter describes how to add summaries (such as averages and totalsxt) to your MDX queries. It discusses the following topics:
Introduction to Summary Functions
MDX includes functions that summarize a given value, across a given set. For each function, the arguments are a set and an optional numeric expression (such as a reference to a measure). DeepSee evaluates the expression for each member of the set and then returns a single value. If no numeric expression is given, DeepSee instead evaluates the measure used in the query (possibly %COUNT).
The functions are as follows:

SUM, which returns the sum of the values.

AVG, which returns the average value. This function ignores members for which the expression is null.

MAX, which returns the maximum value.

MIN, which returns the minimum value.

MEDIAN, which returns the value from the set that is closest to the median value.

STDDEV, which returns the standard deviation of the values.

STDDEVP, which returns the population standard deviation of the values.

VAR, which returns the variance of the values.

VARP, which returns the population variance of the values.
SELECT MAX(diagd.diagnoses.MEMBERS,MEASURES.[%COUNT]) ON 0 FROM demomdx
MAX
828
This query shows the maximum value of the
%COUNT measure for the members of the
Diagnoses level.
For another example, use the same function without specifying its second argument. In this case, the query displays the
%COUNT measure as a column:
SELECT MEASURES.[%COUNT] ON 0, MAX(diagd.diagnoses.MEMBERS) ON 1 FROM demomdx
%COUNT
MAX 828
For another example, use the same function without specifying any measure in the query at all:
SELECT MAX(diagd.diagnoses.MEMBERS) ON 0 FROM demomdx
MAX
828
In this case, DeepSee uses
%COUNT.
More typically, rather than displaying the summary value by itself, you include it in a query that shows all the values of the set. This process is analogous to adding a summary line (as a row or column) in a spreadsheet.
The following example shows the
%COUNT measure for each diagnosis, followed by the maximum value for this measure across this set:
SELECT MEASURES.[%COUNT] ON 0,
{diagd.diagnoses.MEMBERS, MAX(diagd.diagnoses.MEMBERS,MEASURES.[%COUNT])} ON 1 FROM demomdx
%COUNT
1 None 828
2 asthma 90
3 CHD 37
4 diabetes 45
5 osteoporosis 22
6 MAX 828
Notice that the system first computes the
%COUNT measure for each member using the aggregation method defined for that measure. In this case, the patients are counted. The
asthma member, for example, has a total
%COUNT value of 90. The MAX function then obtains the largest value for this measure, across the set of diagnoses.
SELECT {gend.gender.MEMBERS, AVG(gend.gender.MEMBERS,MEASURES.[%COUNT])} ON 0,
MEASURES.[%COUNT] ON 1 FROM demomdx
Female Male AVG
%COUNT 488 512 500
When using the summary functions, you might find it convenient to use
named sets, as described in the chapter
“Working with Sets.” For example, the following query is equivalent to the preceding one:
WITH SET genders AS 'gend.gender.MEMBERS'
SELECT {genders, AVG(genders,MEASURES.[%COUNT])} ON 0, MEASURES.[%COUNT] ON 1 FROM demomdx