In PowerPivot Excel 2016 I write a formula to summarize year to date sales using filter function as below:
SalesYTD:=CALCULATE (
[Net Sales],
FILTER (
ALL ( Sales),
'sales'[Year] = MAX ( 'Sales'[Year] )
&& 'Sales'[Date] <= MAX ( 'Sales'[Date] )
)
)
And it's work perfectly, now in my data I have a field called "Channel" which I want to filter it in my pivot table but it won't works!
Does anybody knows how should I fix this formula?!
Thanks in advance...
Try:
SalesYTD:=CALCULATE (
[Net Sales],
FILTER (
ALLEXCEPT ( 'Sales', 'Sales'[Channel] ),
'sales'[Year] = MAX ( 'Sales'[Year] )
&& 'Sales'[Date] <= MAX ( 'Sales'[Date] )
)
)
ALLEXCEPT removes all context filters in the table except filters that have been applied to the specified columns, in this case [Channel] column.
Let me know if this helps.
Related
I have a table like this
I hope I can get the latest value when a product has more than one value in a same measurement item by excel pivot table. Like this:
I tried so hard but still have no way to achieve this...
Any idea? Thanks.
You'll need to add your source data to the Data Model (via the Power Pivot ribbon), after which you can create the following measures:
Weight
VAR LatestDate =
MAXX( 'Table', IF( 'Table'[measure item] = "weight", 'Table'[time] ) )
RETURN
MAXX(
'Table',
IF(
'Table'[measure item] = "weight",
IF( 'Table'[time] = LatestDate, 'Table'[value] )
)
)
Height
VAR LatestDate =
MAXX( 'Table', IF( 'Table'[measure item] = "height", 'Table'[time] ) )
RETURN
MAXX(
'Table',
IF(
'Table'[measure item] = "height",
IF( 'Table'[time] = LatestDate, 'Table'[value] )
)
)
Create a Pivot Table with these two measures in the Values field together with product name in the Rows field.
I have the following table & data:
CREATE TABLE dbo.TableMapping
(
[GenericMappingKey] [nvarchar](256) NULL,
[GenericMappingValue] [nvarchar](256) NULL,
[TargetMappingKey] [nvarchar](256) NULL,
[TargetMappingValue] [nvarchar](256) NULL
)
INSERT INTO dbo.TableMapping
(
[GenericMappingKey]
,[GenericMappingValue]
,[TargetMappingKey]
,[TargetMappingValue]
)
VALUES
(
'Generic'
,'Col1Source|Col1Target;Col2Source|Col2Target;Col3Source|Col3Target;Col4Source|Col4Target;Col5Source|Col5Target;Col6Source|Col6Target'
,'Target'
,'Fruit|Apple;Car|Red;House|Bungalo;Gender|Female;Material|Brick;Solution|IT'
)
I would need to be able to automatically generate my GenericMappingValue string dynamically based on the number of column pairs in the TargetMappingValue column.
Currently, there are 6 column mapping pairs. However, if I only had two mapping column pairs in my TargetMapping such as the following...
'Fruit|Apple;Car|Red'
then I would like for the GenericMappingValue to be automatically generated (updated) such as the following since, as a consequence, I would only have 2 column pairs in my string...
'Col1Source|Col1Target;Col2Source|Col2Target'
I've started building the following query logic:
DECLARE #Mapping nvarchar(256)
SELECT #Mapping = [TargetMappingValue] from TableMapping
print #Mapping
SELECT count(*) ColumnPairCount
FROM String_split(#Mapping, ';')
The above query gives me a correct count of 6 for my column pairs.
How would I be able to continue my logic to achieve my automatically generated mapping string?
I think I understand what you are after. This should get you moving in the right direction.
Since you've tagged 2017 you can use STRING_AGG()
You'll want to split your TargetMappingValue using STRING_SPLIT() with ROW_NUMER() in a sub-query. (NOTE: We aren't guaranteed order using string_split() with ROW_NUMBER here, but will work for this situation. Example below using OPENJSON if we need to insure accurate order.)
Then you can then use that ROW_NUMBER() as the column indicator/number in a CONCAT().
Then bring it all back together using STRING_AGG()
Have a look at this working example:
DECLARE #TableMapping TABLE
(
[GenericMappingKey] [NVARCHAR](256) NULL
, [GenericMappingValue] [NVARCHAR](256) NULL
, [TargetMappingKey] [NVARCHAR](256) NULL
, [TargetMappingValue] [NVARCHAR](256) NULL
);
INSERT INTO #TableMapping (
[GenericMappingKey]
, [GenericMappingValue]
, [TargetMappingKey]
, [TargetMappingValue]
)
VALUES ( 'Generic'
, 'Col1Source|Col1Target;Col2Source|Col2Target;Col3Source|Col3Target;Col4Source|Col4Target;Col5Source|Col5Target;Col6Source|Col6Target'
, 'Target'
, 'Fruit|Apple;Car|Red;House|Bungalo;Gender|Female;Material|Brick;Solution|IT' );
SELECT [col].[GenericMappingKey]
, STRING_AGG(CONCAT('Col', [col].[ColNumber], 'Source|Col', [col].[ColNumber], 'Target'), ';') AS [GeneratedGenericMappingValue]
, [col].[TargetMappingKey]
, [col].[TargetMappingValue]
FROM (
SELECT *
, ROW_NUMBER() OVER ( ORDER BY (
SELECT 1
)
) AS [ColNumber]
FROM #TableMapping
CROSS APPLY STRING_SPLIT([TargetMappingValue], ';')
) AS [col]
GROUP BY [col].[GenericMappingKey]
, [col].[TargetMappingKey]
, [col].[TargetMappingValue];
Here's an example of what an update would look like assuming your primary key is the GenericMappingKey column:
--This what an update would look like
--Assuming your primary key is the [GenericMappingKey] column
UPDATE [upd]
SET [upd].[GenericMappingValue] = [g].[GeneratedGenericMappingValue]
FROM (
SELECT [col].[GenericMappingKey]
, STRING_AGG(CONCAT('Col', [col].[ColNumber], 'Source|Col', [col].[ColNumber], 'Target'), ';') AS [GeneratedGenericMappingValue]
, [col].[TargetMappingKey]
, [col].[TargetMappingValue]
FROM (
SELECT *
, ROW_NUMBER() OVER ( ORDER BY (
SELECT 1
)
) AS [ColNumber]
FROM #TableMapping
CROSS APPLY [STRING_SPLIT]([TargetMappingValue], ';')
) AS [col]
GROUP BY [col].[GenericMappingKey]
, [col].[TargetMappingKey]
, [col].[TargetMappingValue]
) AS [g]
INNER JOIN #TableMapping [upd]
ON [upd].[GenericMappingKey] = [g].[GenericMappingKey];
Shnugo brings up a great point in the comments in that we are not guarantee sort order with string_split() and using row number. In this particular situation it wouldn't matter as the output mappings in generic. But what if you needed to used elements from your "TargetMappingValue" column in the final "GenericMappingValue", then you would need to make sure sort order was accurate.
Here's an example showing how to use OPENJSON() and it's "key" which would guarantee that order using Shnugo example:
SELECT [col].[GenericMappingKey]
, STRING_AGG(CONCAT('Col', [col].[colNumber], 'Source|Col', [col].[colNumber], 'Target'), ';') AS [GeneratedGenericMappingValue]
, [col].[TargetMappingKey]
, [col].[TargetMappingValue]
FROM (
SELECT [tm].*
, [oj].[Key] + 1 AS [colNumber] --Use the key as our order/column number, adding 1 as it is zero based.
, [oj].[Value] -- and if needed we can bring the split value out.
FROM #TableMapping [tm]
CROSS APPLY OPENJSON('["' + REPLACE([tm].[TargetMappingValue], ';', '","') + '"]') [oj] --Basically turn the column value into JSON string.
) AS [col]
GROUP BY [col].[GenericMappingKey]
, [col].[TargetMappingKey]
, [col].[TargetMappingValue];
if the data is already in the table and you want to break it out into columns, this should work
select
v.value
,left(v.value, charindex('|',v.value) -1) col1
,reverse(left(reverse(v.value), charindex('|',reverse(v.value)) -1)) col2
from String_split(#mapping,';') v
I am trying to calculate running total of a measure that I have created, I can get the pivot table to show it using "show Value As" however I cannot achieve the same using a new Measure and I need a new measure so I can then calculate year to date average
using the following formula I get sum of individual rows rather sum of aggregated rows per month
Any help would be appreciated
Thanks
Measure2:=CALCULATE(SUMX(Table,[measure1]),FILTER (
ALL( Calendar[Date]),
Calendar[Date] <= MAX (Calendar[Date] )
)
)
Measure1:=if(sum(AMOUNT)=0,Blank(),if(sum(AMOUNT)<0,[WAT],if([Countback]=1,(SUM(AMOUNT)/[CumulativSales1])*[Sum of Days],
if([Countback]=2,[Sum of Days]+((SUM(AMOUNT))-[CumulativSales1])/([CumulativSales2]-[CumulativSales1])*[Days Previous],
if([Countback]=3,[Sum of Days]+[Days Previous]+((SUM(AMOUNT))-[CumulativSales2])/([CumulativSales3]-[CumulativSales2])*[Days Previous2],
if([Countback]=4,[Sum of Days]+[Days Previous]+[Days Previous2]+((SUM(AMOUNT))-[CumulativSales3])/([CumulativSales4]-[CumulativSales3])*[Days Previous3],
if([Countback]=5,[Sum of Days]+[Days Previous]+[Days Previous2]+[Days Previous3]+((SUM(AMOUNT))-[CumulativSales4])/([CumulativSales5]-[CumulativSales4])*[Days Previous4],200)))))))
AverageSaleWeight2:=if(HASONEVALUE(Calendar[Date]),
CALCULATE(sum(INVOICE[Days Given * Amount])/sum(INVOICE[Amount GBP]),
DATEADD(Calendar[Date],-2,MONTH)),BLANK())
AverageSaleWeight3:=if(HASONEVALUE(Calendar[Date]),
CALCULATE(sum(INVOICE[Days Given * Amount])/sum(INVOICE[Amount GBP]),
DATEADD(Calendar[Date],-3,MONTH)),BLANK())
.....
Countback:=IF((DIVIDE([CumulativSales1],sum(Aging[OPEN_DOM_AMOUNT]))>=0.9999,1,
IF((DIVIDE([CumulativSales2],SUM(Aging[OPEN_DOM_AMOUNT]))>=0.9999,2,
IF((DIVIDE([CumulativSales3],SUM(Aging[OPEN_DOM_AMOUNT]))>=0.9999,3,
IF((DIVIDE([CumulativSales4],sum(Aging[OPEN_DOM_AMOUNT]))>=0.9999,4,
IF((DIVIDE([CumulativSales5],sum(Aging[OPEN_DOM_AMOUNT]))>=0.9999,5,6))))))))))
CumulativSales1:=CALCULATE(SUM(INVOICE[Amount GBP]),
DATESINPERIOD(Calendar[Date],
LASTDATE(Calendar[Date]),-1,MONTH))
CumulativSales2:=CALCULATE(SUM(INVOICE[Amount GBP]),
DATESINPERIOD(Calendar[Date],
LASTDATE(Calendar[Date]),-2,MONTH))
WAT:=if(sum([AMOUNT])=0,Blank(),IF([Countback]=1,[AverageSaleWeight],IF([Countback]=2,[AverageSaleWeight1],IF([Countback]=3,[AverageSaleWeight2],IF([Countback]=4,[AverageSaleWeight3],IF([Countback]=5,
[AverageSaleWeight4],IF([Countback]=6,[AverageSaleWeight5],30)))))))
Days Previous:=CALCULATE(SUM(Calendar[Days]),
DATESINPERIOD(Calendar[Date],
LASTDATE(Calendar[Date]),-2,MONTH))-CALCULATE(SUM(Calendar[Days]),
DATESINPERIOD(Calendar[Date],
LASTDATE(Calendar[Date]),-1,MONTH))
Days Previous2:=CALCULATE(SUM(Calendar[Days]),
DATESINPERIOD(Calendar[Date],
LASTDATE(Calendar[Date]),-3,MONTH))-CALCULATE(SUM(Calendar[Days]),
DATESINPERIOD(Calendar[Date],
LASTDATE(Calendar[Date]),-2,MONTH))
....
`
Try this revised version and see if you get the desired result:
Measure3 := CALCULATE(
SUMX( VALUES(Calendar[Month]), [measure1] )
, FILTER(
ALL(Calendar)
, Calendar[Date] <= MAX(Calendar[Date])
&& Calendar[Year] = MAX(Calendar[Year])
)
)
Latest Edit: added SUMX VALUES
I have a table with the following fields:
[Date]
[Ref Nr]
[Units]
I'd like to do a SUM over [Units] for each value in [Date] and [Ref Nr] and then take a 80 percentile for each value in [Ref Nr].
I've tried the following but it doesn't work...
DEFINE
MEASURE 'Table'[Pctl] =
CALCULATE(
PERCENTILEX.INC(
'Table',
CALCULATE(
SUM('Table'[Units]),
ALLEXCEPT('Table',
'Table'[Date],
'Table'[Ref Nr]
)
),
0.8
),
ALLEXCEPT('Table',
'Table'[Ref Nr]
)
)
EVALUATE
FILTER(
SUMMARIZE(
'Table',
'Table'[Ref Nr],
"Percentile 80",
'Table'[Pctl]
),
'Table'[Pctl] <> 0
)
Could you please guide me how to make it work?
Thanks in advance :)
I think your Pct1 calculation should look as follows:
MEASURE 'Table'[Pctl] =
CALCULATE(
PERCENTILEX.INC(
VALUES('Table'[Date],
CALCULATE(SUM('Table'[Units])),
0.8
)
)
as it will be evaluated in the context of [Ref Nr] in the final query, VALUES('Table'[Date]) will only return dates for the current [Ref Nr], the rest of the calculation should be clear I think
I have a dataset in PowerPivot and need to find a way to flag ONLY the first occurrence of a customer sub event
Context: Each event (COLUMN A) can have X number of sub events (COLUMN B),
I already have a flag that identifies a customer event based on multiple criteria's (COLUMN D)... What I need is a way to flag only the first occurrence of a customer sub event within each event, I've added a fake COLUMN E to illustrate how the flagging should work.
UPDATE
Additional situation - Having duplicated customer sub_events but only need to flag the first sub_event... should look like this:
Create a calculated column in your model using the following expression:
=
IF (
[Customer_Event] = 1
&& [Sub_Event]
= CALCULATE (
FIRSTNONBLANK ( 'Table'[Sub_Event], 0 ),
FILTER (
'Table',
'Table'[Event] = EARLIER ( 'Table'[Event] )
&& [Customer_Event] = 1
)
),
1,
0
)
If Sub_Event column is a number replace FIRSTNONBLANK ( 'Table'[Sub_Event], 0 ) by MIN('Table'[Sub_Event])
Also if your machine regional settings use ; (semicolon) as list separator replace every , (comma) in my expression by a semicolon in order to match your settings.
UPDATE: Repeated values in Sub_Event column.
I think we can use CaseRow# column to get the first occurence of Sub_Event value:
=
IF (
[Customer_Event] = 1
&& [Sub_Event]
= CALCULATE (
FIRSTNONBLANK ( 'Table'[Sub_Event], 0 ),
FILTER (
'Table',
'Table'[Event] = EARLIER ( 'Table'[Event] )
&& [Customer_Event] = 1
)
)
&& [CaseRow#]
= CALCULATE (
MIN ( 'Table'[CaseRow#] ),
FILTER (
'Table',
'Table'[Event] = EARLIER ( 'Table'[Event] )
&& [Customer_Event] = 1
)
),
1,
0
)
It is not tested but should work.
Let me know if this helps.