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=YEAR(Orders[OrderDate])
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C h a p te r 8 : D a te & T i m e Fu n c t i o n s 1 / 2 : B a s i c Fu n c t i o n s
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YEAR() brings back the calendar year If you want the fiscal year, you are going to have to write a more complex DAX formula, or calculate the fiscal year on the source data by importing as a query YEAR() also supports a text parameter:
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=YEAR("2001/12/31")
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YEARFRAC()
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If you have a date interval, YEARFRAC() will calculate the fraction, or proportion, of the year that the interval represents The two dates that delimit the interval are passed as two parameters into the function The examples are for calculated columns in the Orders table
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=ROUND(YEARFRAC(Orders[OrderDate],Orders[ShippedDate]) * 100,2) =ROUND(YEARFRAC(Orders[OrderDate],Orders[ShippedDate],0) * 100,2)
Result
Analysis
The two formulas are identical in outcome The second one contains the optional Basis parameter the default is 0 (US 30/60), a year of 360 days divided into twelve 30-day months If you observe orders 10267 and 10273, they have the same answer The Basis parameter determines which of five methods are employed to calculate the fraction For a full explanation, please refer to SQL Server Books Online (BOL) The following example uses a Basis of 3 (Actual 365)
Prac tical PowerPivot & DAX Formulas for Excel 2010
Now try the following formula with a 3 switch, a 365-day year with months having their real number of days:
=ROUND(YEARFRAC(Orders[OrderDate],Orders[ShippedDate],3) * 100,2)
If you look at orders 10267 and 10273, this time, the YEARFRAC() results are different ROUND() is a Math & Trig function used here to tidy up the results ROUND() is examined in a 11
9
Date & Time Functions 2/2: Time Intelligence Functions
Prac tical PowerPivot & DAX Formulas for Excel 2010
his is the second chapter dealing with DAX Date & Time functions The previous chapter discusses some of the basic Date and Time functions In this chapter, the emphasis is on the time intelligence Date and Time functions The time intelligence functions are primarily used to navigate dates In particular, they allow you to jump ahead or back in time and retrieve relevant data This is useful if you wish to compare your data across or between time periods Practical applications would include year-on-year changes They allow you to compare the present date, in your filter context, with past and future dates In addition, these functions can help you define ranges of dates or dates up to a particular date A practical application here might be year-to-date sales The basic functions generally return dates and times The time intelligence functions generally return measures or values associated with dates and times, or ranges of periods used by other functions to calculate these values Key concepts Jumping backward and forward in time, navigating time, establishing date ranges, returning dates up to the current date, year-on-year changes, year-to-date totals Keywords CLOSINGBALANCEMONTH(), CLOSINGBALANCEQUARTER(), CLOSINGBALANCEYEAR(), DATEADD(), DATESBETWEEN(), DATESINPERIOD(), DATESMTD(), DATESQTD(), DATESYTD(), ENDOFMONTH(), ENDOFQUARTER(), ENDOFYEAR(), FIRSTDATE(), FIRSTNONBLANK(), LASTDATE(), LASTNONBLANK(), NEXTDAY(), NEXTMONTH(), NEXTQUARTER(), NEXTYEAR(), OPENINGBALANCEMONTH(), OPENINGBALANCEQUARTER(), OPENINGBALANCEYEAR(), PARALLELPERIOD(), PREVIOUSDAY(), PREVIOUSMONTH(), PREVIOUSQUARTER(), PREVIOUSYEAR(), SAMEPERIODLASTYEAR(), STARTOFMONTH(), STARTOFQUARTER(), STARTOFYEAR(), TOTALMTD(), TOTALQTD(), TOTALYTD() Preparation There are 35 time intelligence functions in DAX, and 35 in this chapter Most of them require that you have regular or calculated columns in your PowerPivot model to cover standard time periods that is, in addition to a standard date column If you wish to try the examples, please add the following calculated columns to the Orders table in the Northwind PowerPivot model Instructions on how to create this model from a SQL Server source Northwind are in 1 Instructions on how to do so from an Access, Excel, or data feed Northwind are in 2 You will need calculated columns for the year, quarter, and month of orders If you worked through some of the earlier chapters, you may already have a column for the year Here are the DAX formulas for Year,
C h a p te r 9 : D a te & T i m e Fu n c t i o n s 2 / 2 : T i m e I n te l l i g e n ce Fu n c t i o n s
Month, and Quarter, respectively (the Quarter column references the Month column, so you have to complete Month before Quarter):
=YEAR(Orders[OrderDate]) =MONTH(Orders[OrderDate]) =IF(Orders[Month]<4,"Q1",IF(Orders[Month]<7,"Q2",IF(Orders[Month]<10, "Q3","Q4")))
Time intelligence requires that you prepare your date data carefully In particular, some of the functions only return intuitive results if your dates are contiguous and you have the same time periods in every year Indeed, the recommendation is that you create a separate table just to hold dates (this is sometimes called a time or date dimension) These topics are discussed fully in 12, which deals with common PowerPivot and DAX solutions and problems As it exists at present, the Northwind PowerPivot model does not meet all of the requirements on dates to return meaningful answers to some of the DAX formulas in this chapter Specifically, it is not suitable for 13 of the 35 functions In quite a comprehensive book, these are the first and only occasions on which faithful old Northwind has let us down on just 13 DAX functions There are three possible solutions but two of them require that you have SQL Server The first solution is to use the ContosoRetailDW SQL Server sample database (and import the DimDate and FactSales tables) in that database, the dates are already suitable for all the DAX time intelligence functions That is the solution adopted here so, some functions use ContosoRetailDW, and the relevant formulas for 13 functions are flagged as using that database You can download ContosoRetailDW from www microsoftcom (search on ContosoRetailDW) The second approach is to use the AdventureWorksDW2008 SQL Server sample database (and import the DimDate and FactInternetSales tables) However, that requires a bit of further work as the date column relating the two tables is an integer and not a date The third solution is to create a new table in your PowerPivot model for Northwind (Excel or Access or data feed version, not just SQL Server version) to hold dates and relate the OrderDate column in the Orders table to the date column in the new table The new table should hold contiguous dates from the first day of the first year for orders to the last day of the last year You can use Fill | Series from the Editing group on the Excel Home ribbon to create the date table You can then import, or link, into your PowerPivot model Guidance on how to set up AdventureWorksDW2008 and Northwind dates is given in 12 For now, for just a few functions in this chapter, we are going to use the ContosoRetailDW database
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