TOTALYTD DAX Function (Time Intelligence) Context Transition
Evaluates the specified expression over the interval which begins on the first day of the year and ends with the last date in the specified date column after applying specified filters.
Syntax
| Parameter | Attributes | Description |
|---|---|---|
| Expression |
The expression to be evaluated. |
|
| Dates |
The name of a column containing dates or a one column table containing dates. |
|
| Filter | Optional |
A boolean (True/False) expression or a table expression that defines a filter. |
| YearEndDate | Optional |
End of year date. |
Return values
A scalar value that represents the Expression evaluated for the Dates in the current year-to-date, given the dates in Dates.
Notes
In order to use any time intelligence calculation, you need a well-formed date table. The Date table must satisfy the following requirements:
- All dates need to be present for the years required. The Date table must always start on January 1 and end on December 31, including all the days in this range. If the report only references fiscal years, then the date table must include all the dates from the first to the last day of a fiscal year. For example, if the fiscal year 2008 starts on July 1, 2007, then the Date table must include all the days from July 1, 2007 to June 30, 2008.
- There needs to be a column with a DateTime or Date data type containing unique values. This column is usually called Date. Even though the Date column is often used to define relationships with other tables, this is not required. Still, the Date column must contain unique values and should be referenced by the Mark as Date Table feature. In case the column also contains a time part, no time should be used – for example, the time should always be 12:00 am.
- The Date table must be marked as a date table in the model, in case the relationship between the Date table and any other table is not based on the Date.
Remarks
The Dates argument can be any of the following:
- A reference to a date/time column. Only in this case a context transition applies because the column reference is replaced by
- CALCULATETABLE ( DISTINCT ( <Dates> ) )
- A table expression that returns a single column of date/time values.
- A Boolean expression that defines a single-column table of date/time values.
The syntax:
TOTALYTD (
<Expression>,
<Dates>
[, <Filter>]
[, <YearEndDate>]
)
corresponds to:
CALCULATE (
<Expression>,
DATESYTD ( <Dates> [, <YearEndDate>] )
[, <Filter>]
)
» 5 related functions
Examples
-- TOTALYTD is just syntax sugar for CALCULATE / DATESYTD
EVALUATE
CALCULATETABLE (
{ (
CALCULATE (
[Sales Amount],
DATESYTD ( 'Date'[Date] ) -- 2007-01-01 : 2007-05-12
),
TOTALYTD ( -- 2007-01-01 : 2007-05-12
[Sales Amount],
'Date'[Date]
)
) },
'Date'[Date] = DATE ( 2007, 5, 12 )
)
| Value1 | Value2 |
|---|---|
| 4,038,742.76 | 4,038,742.76 |
Related articles
Learn more about TOTALYTD in the following articles:
-
Time Intelligence in Power BI Desktop
In Power BI Desktop (as of February 2016) you have to use DAX to apply calculations over dates (such as year-to-date, year-over-year, and others), but you do not have the Mark as Date Table feature. This article describes which scenarios are impacted and the possible workarounds. » Read more
-
Week-Based Time Intelligence in DAX
The DAX language provides several Time Intelligence functions that simplify writing calculations such as year-to-date (YTD), year-over-year (YOY) and so on. However, if you have a special calendar structure such as a 4-4-5 weeks’ calendar, you need to write your custom Time Intelligence calculation. In this article, you will learn how to write the required […] » Read more
-
Time Patterns
The DAX time patterns are used to implement time-related calculations without relying on DAX time intelligence functions. This is useful whenever you have custom calendars, such as an ISO 8601 week calendar, or when you are using an Analysis Services Tabular model in DirectQuery mode. » Read more
Related functions
Other related functions are:
Last update: Oct 27, 2024 » Contribute » Show contributors
Contributors: Alberto Ferrari, Marco Russo
Microsoft documentation: https://docs.microsoft.com/en-us/dax/totalytd-function-dax