Last week I wrote about how the Above() function can be used for calculating rolling averages and other accumulations. There is however also an alternative method for doing the same thing:


The As-Of table.

 

When you use the Above() function, you fetch a number from other rows in a chart or Aggr() table. The As-Of table is slightly different in this respect: It is not a transient table created by an object or an expression – instead it is a real table in the data model.

 

The idea is to create a secondary month field – the AsOfMonth - that links to multiple real months.

 

Fields.png

 

In the example above, you can see that ‘2015 Oct’ links to several preceding months, and each Month in turn links to several rows in a fact table. This means that a specific transaction will be linked to several AsOfMonths.

 

In the data model, the As-Of table should appear as a separate calendar table that links to the existing primary calendar table:

 

DataModel.png

 

One way to create this table is the following:

 

First, make sure that you in your master calendar have a field “Month” that is defined as the first date of the month, e.g.

 

Date(MonthStart(Date),'YYYY MMM') as Month,

 

Then add the following lines at the end of the script:

 

// ======== Create a list of distinct Months ========
tmpAsOfCalendar:
Load distinct Month
  Resident [Master Calendar] ;

 

// ======== Cartesian product with itself ========
Join (tmpAsOfCalendar)
Load Month as AsOfMonth
  Resident tmpAsOfCalendar ;

 

// ======== Reload, filter and calculate additional fields ========
[As-Of Calendar]:
Load Month,
  AsOfMonth,
  Round((AsOfMonth-Month)*12/365.2425) as MonthDiff,
  Year(AsOfMonth)-Year(Month) as YearDiff
  Resident tmpAsOfCalendar
      Where AsOfMonth >= Month;

Drop Table tmpAsOfCalendar;

 

Once this table has been created, you can use the AsOfMonth as dimension in charts where you want rolling averages and accumulations.

 

If you as measure use

 

Sum({$<YearDiff={0}>} Sales)

 

you will get a yearly accumulation – year-to-date up until the day of the script run.

 

Yearly accumulation.png

 

If you instead use

 

Sum({$<MonthDiff={"<6"}>} Sales) / Count(distinct {$<MonthDiff={"<6"}>} Month)

 

you will get a 6-month rolling average:

 

Rolling average.png

 

And finally, if you use

 

Sum({$<MonthDiff={0}>} Sales)

 

You will get the real, non-accumulated numbers.

 

I have made the Set Analysis expressions based on two fields: YearDiff and MonthDiff. However, for clarity it could be a good idea to add flags in the As-Of table, so that the Set Analysis expressions become even simpler, e.g.

 

If(MonthDiff=0,1,0) as IsSameMonth,
If(YearDiff=0,1,0) as IsSameYear,
If(MonthDiff<6,1,0) as IsRolling6,

 

Summary: The As-Of table is a good way to calculate rolling averages and accumulations.

 

HIC

 

Further reading related to this topic:

The Above Function

Accumulations

Calculating rolling n-period totals, averages or other aggregations