I'm having some difficulty getting a YoY change % for values in Power BI. The averages don't come out proper. I've come to understand this is an AVERAGE vs AVERAGEX issue in Power BI.
I need to create charts of year on year growth monthly. So Jan20 % change from Jan 19. I thought what was below was correct, but it is always throwing an issue for the month of February and a few other months. But some of the months are correct. My Measure is below.
Growth =
IF(
ISFILTERED('Oct5_5'[TRAFFIC_DTE]),
ERROR("Check Time Filter."),
VAR PrevMonth =
CALCULATE(
AVERAGE('Oct5_5'[VISITS_AMT]),
DATEADD('Oct5_5'[TRAFFIC_DTE].[Date], -12, MONTH)
)
RETURN
DIVIDE(
AVERAGE('Oct5_5'[VISITS_AMT]) - PrevMonth,
PrevMonth
)
)
Snippet
Can someone please show me how to use the right Average? Thank you so much!
Do You have all calendar days in your traffice_dte?
Probably not. This causes you to go back to a date that does not exist, which causes an error.
DATEADD function work ok if you use it on "calendar" tabel.
Requirement below:
https://dax.guide/dateadd/
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.
Related
Apologises if this question has already been raised but I'm struggling with my data model to create a rolling total / YTD sales using fiscal years.
I know PowerBI/DAX is great using calendar Jan-Dec dates but how do you amend this if your financial year begins in March-April instead?
When I created my calendar table, I used the CALENDEARAUTO() which gave me a column of dates from Jan to Dec as expected and when I change the function to CALENDERAUTO(3), my date column begins from March to April which makes sense.
However, if I use the CALCULATE and DATESYTD functions to sum the total sales column and choose the date column as described above, the result looks like:
Actual YTD = CALCULATE(sum('spend'[Actual]),DATESYTD('Fiscal Year Table'[Date],"03-31"))
What do I need to do exactly for it work in this exact date format?
Many thanks
Hash
I have a column called Snapshot Effective Period (next month) which is the Nextmonth([Snapshot Period]). This function stops when the snapshot period is 12/1/2021, what I expect to see is 1/1/2022 when the snapshot period is 12/1/2021. The value is not rolling over a year. Any advice?
Snapshot effective period next month c1 is a calculated column in date format.
Snapshot Effective Period (Next Month) c1 = NEXTMONTH('Forecast Detail'[Snapshot Period])
NEXTMONTH function should be used on Calendar
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.
https://dax.guide/nextmonth/
Instead of NEXTMONTH use DATE
Snapshot Effective Period (Next Month) c1 = DATE( YEAR('Forecast Detail'[Snapshot Period]), MONTH('Forecast Detail'[Snapshot Period]) +1, DAY('Forecast Detail'[Snapshot Period]))
Hi I am trying to get total YTD amount for last year.
When I select October 2020 my current YTD amount works here is what it looks like :
YTDAmount = TOTALYTD(sum(PCSReport[PD]),PCSReport[PCSMonth])
However, I want to show YTD October 2019 and for some reason it is showing blank. This is the DAX I made :
LYTDAmount = TOTALYTD(sum(PCSReport[PD]), SAMEPERIODLASTYEAR(PCSReport[PCSMonth]) )
Since your calculations are correct, here is what might be the problem.
To work with time intelligence functions (TOTALYTD,DATESYTD ... ) you must have at leat one date table with an active relationship to your fact table.
A date table is a table that meets the following requirements:
It must have a column of data type date (or date/time)—known as the date column.
The date column must contain unique values.
The date column must not contain BLANKs.
The date column must not have any missing dates.
The date column must span full years. A year isn't necessarily a calendar year (January-December).
The date table must be marked as a date table.
I am creating a report with buttons that use a slicer to show the last 3 calendar months, the default view, and YTD. The first two are all set and will continue to work fine, however i am having trouble with the YTD filter because i need it to exclude the current month (some of the key metrics for this slicer are only accurate monthly, even thought the data is updated Daily). Any idea how to accomplish this without me having to manually change it every month? An example of it working today would show me 2020 through August, since September is not complete. September would be included in the filter starting October first. I am thankful for your help/insights!
I typically build a calculated column on my date table called something like "Date in Range", that looks something like the below. You could also apply this to a date in a normal table if you are not using a date dimension.
Date in Range = IF ('MyTable'[Date] <
DATEADD(TODAY(), -1 * DAY(TODAY()), day),
1,
0)
This compares the date in the table row with TODAY(), e.g. 14 Sep 2020, minus the day of the month of today (14), effectively getting you back to the start of the current month. This will then return 1 for dates before the end of last month or 0. Filter on 1 or 0 to get your result (or use something more meaningful in place of the 1 or 0).
I am using DAX in Power BI to calculate Previous Month sales total to date to create a KPI visual. i.e. if today is 7th Dec then I want to get sales total from 1st Nov to 7th Nov and compare with current month to date.
CurrentMTD = TOTALMTD(SUM(SALES_VOUCHERS[SaleValue]),DatesTable[Date])
This works fine.
However Previous Month YTD gives me total for entire month of November. I have tried the following so far
PMYTD = totalmtd(sum(SALES_VOUCHERS[SaleValue]),dateadd(DATESMTD(DatesTable[Date]),-1,month))
and
PMYTD = CALCULATE(sum(SALES_VOUCHERS[SaleValue]),
DATESBETWEEN(DatesTable[Date],
FIRSTDATE(PREVIOUSMONTH(DatesTable[Date])),
LASTDATE(DATEADD(DatesTable[Date],-1,MONTH))))
Both return the same answer which is total for the entire previous month .
If I simply hardcode the start and end date in datesbetween version above, then I do get the desired result. But that is not the solution.
I have linked the fact table (Sales_VOUCHERS) to a DatesTable and as of now there are no other visuals on the report page.
Kindly assist what I am missing out on and how I can get Previous Month year to date total
If you're aggregating at the month level (i.e. you're looking at December 2016 vs. November 2016), then the measure you have above will show you the entire month of December compared to the entire month of November (and since December is a partial month and November isn't, it causes the mismatch you see).
If you filter to the current date (e.g. 7th Dec), then both your MTD and Prior Month MTD measures will only show you through the 7th of their corresponding months.
Assuming you don't want to filter to the day level (not unreasonable), you could enhance your formula to filter out future dates. For example:
PMYTD = totalmtd(
sum(SALES_VOUCHERS[SaleValue]),
dateadd(
FILTER(
DATESMTD(DatesTable[Date]),
DatesTable[Date]<TODAY()
),
-1,
month
)
)
This says, if the date is after today, don't pass it into the TOTALMTD calculation (so it will only calculate the first 7 days of the month, for example, if today is Dec 8th - even if you're looking at full months on your report).
Side note: you can also write your previous month measure to re-use your MTD measure rather than redefining it. In this way, if you ever change the MTD calculation, the previous MTD calculation automatically updates.
PMYTD = CALCULATE(
[CurrentMTD],
DATEADD(
FILTER(
DatesTable[Date],
DatesTable[Date]<TODAY()
),
-1,
MONTH
)
)
Useful Resources:
https://www.powerpivotpro.com/2016/01/year-to-date-in-previousprior-year/ (article that covers this problem and a variety of solutions)
https://community.powerbi.com/t5/Desktop/Compare-MTD-with-previous-period/td-p/24656 (forum discussion about the same problem)
http://community.powerbi.com/t5/Desktop/Time-Intelligence-TOTALMTD-vs-DATESMTD-vs-DATEADD/td-p/10088 (forum discussion about DATESMTD vs TOTALMTD)