I have a custom Measure in my excel data model so I can calculate Grand Average in a pivot table...
MyMeasure:=VAR T1 =
SUMMARIZE(HC_Data,HC_Data[data date (Month)], "Total HC", [Count of NAME]) RETURN
IF(HASONEVALUE(HC_Data[data date (Month)]), SUM(HC_Data[HC count]), AVERAGEX( T1, [Total HC]))
now, at first sight, this works wonders! BUT, it doesn't take into accounts months with 0's since the source data wouldn't have a record if there is a 0 in the pivot table.
The pivot table will show a 0 since the columns months are based on a full calendar, and pivot set to show 0 when there is no record. so what i need is a way that the custom Measure accounts for 0's.. is this possible?
Create a new table comprising a unique list of entries from the data date (Month) column and create a relationship between this new table and HC_Data. You can then amend your measure to:
MyMeasure:=VAR T1 =
SUMMARIZE( Months, Months[Month], "Total HC",[Count of NAME] )
RETURN
IF(
HASONEVALUE( HC_Data[data date (Month)] ),
SUM( HC_Data[HC count] ),
AVERAGEX( T1, [Total HC] )
)
I have assumed that the new table is called Months and comprises a single column called Month.
Related
i'm sure someone figured a workaround for this as there seems to lots of people with the same question...
i need a pivot table that calculated total headcount sum each month, but need to have a column for average headcount between the months selected (on the pivot table)
in other words, i will have a timeline slicer tied to the pivot table and want to have the average for the range of months selected for the pivot.
i found a thread mentioning using power pivot and adding a column of total count, but havent found the solution i'm looking for...
as shown in the snip of pivot table below, i need the "Grand Total" to show average (or a way to have average in the pivot table...
eg count in sept of 56 and count in Oct of 59 should have a Grand Average of 57.5... instead of the total of 115...
EDIT 1:
i like where this is going but can't seem to get it working. i have the following written and my measure:
MyMeasure :=
VAR T1 =
SUMMARIZE(HC_Data, [data date (Month)], "Total Value", SUM(HC_Data[HC count])
RETURN
IF(
HASONEVALUE(HC_Data [data date (Month)]),
SUM( HC_Data[HC count]),
AVERAGEX( T1, [Total Value] )
)
and get a DAX sintax error
Try the following measure in Power Pivot:
MyMeasure :=
VAR T1 =
SUMMARIZE( Table1, [Date (Month)], "Total Value", SUM( Table1[Value] ) )
RETURN
IF(
HASONEVALUE( Table1[Date (Month)] ),
SUM( Table1[Value] ),
AVERAGEX( T1, [Total Value] )
)
Excel
I'm creating a pivot table and need a column to describe 'average number of orders' made by customers each year.
I have:
Order date
Customer ID
Year
I'm thinking calculated feild, and using COUNT(Order date) to determine number of orders. But I need to be able to use that to get the average number of orders for each customer.
Any help would be appreciated.
Date set example:
Customer ID Order date
Xh015046 12/04/2016
X7615777 03/06/2016
X10062024 20/04/2017
X7615777 25/06/2016
X7615777 05/01/2017
Xh015046 15/04/2017
X10062024 09/07/2018
X7615777 10/07/2018
Xh015046 11/07/2018
X10062024 12/07/2018
Pivot table I want:
Year Average Number of orders per customer
2016 1.5
2017 1
2018 1.333333333
Within the Data Model (Power Pivot), create a new measure:
AverageOrders :=
VAR MyTable =
SUMMARIZE (
Table1,
[Customer ID],
"Order Count", CALCULATE ( COUNTROWS ( Table1 ) )
)
RETURN
AVERAGEX ( MyTable, [Order Count] )
Amend the table (Table1) and column (Customer ID) names in the above as required.
Then create a Pivot Table within the worksheet with Year in the Rows section and the above measure AverageOrders in the Values section.
I have a list of rooms sitting in a single column of a data set. I have put this list into a pivot table with a count of the room numbers. I want to add a dax measure on the pivot table to work out the column average.
I only have read access to the raw data and also I need to keep the size down as the table has 1.5m lines. Running groupby and column averages in power query takes more time and space then I have.
As an example, the below is a list of rooms that have been put into a pivot table. I have then added a count of the rooms. How can I create a measure off a pivot table count where that count is not / can not be in the raw data. The average figures is 3.66 which would be expressed in each cell of the column average column.
ROOMS
COUNT
COLUMN AVERAGE?
ROOM1
02
ROOM2
05
ROOM3
04
Thanks
Your measure needs to transition context to ALL rooms, when dividing the count of rows, by the distinct rooms values:
=CALCULATE (
DIVIDE (
COUNTROWS ( Table1 ),
DISTINCTCOUNT ( Table1[Rooms] ),
BLANK()
),
ALL ( Table1[Rooms] )
)
I have a data table that is pulling all successful contacts by case manager over a period of time. We've created a pivot table of the data that groups by case manager for the rows and by month of the contact for the columns. It counts the appointment IDs to get counts per case manager per month.
My manager wants this data displayed in a chart to easily visualize the data. The part I can't get is she wants the average contacts per month over all the case managers and all the months to be displayed on the chart. Essentially, she wants the average of all the values in the pivot table.
I've played around with power pivot and the DAX functions averagex() and summarize() to get averages in the total row per column, but the ultimate grand total is still the average of the totals.
How can I get the average of all the fields by itself?
Here is the sample pivot table with the totals per case manager per month
Here are the totals using averagex(summarize()) to get counts for the values and average for the totals.
AVERAGEX ( SUMMARIZE ( Table1, [Caseload], "x", COUNTA ( [Client ID] ) ), [x] )
However, the real average I want to see is 34 (all the values averaged together
You need to summarize by month as well to be able to average the way you want.
avg_count =
AVERAGEX (
SUMMARIZE (
Table1,
Table1[Caseload], --Assuming this is what you have on the rows
Table1[Month], --Assuming this is what you have on the columns
"x", COUNTA ( Table1[Client ID] )
),
[x]
)
I am working on a matrix in Power BI and I am not figuring out how to sum each column recursively until the total:
And this should be the resulting matrix (as an example, rows):
Some clarifications:
The months (columns) are dynamically generated based on the transaction month. I could filter the data to get the same data for only three months.
"Nombre proveedor" stands for "Vendor name".
I don't care about "Total" row.
These are my values:
So, I think I should create a measure with DAX to replace "Accounting Balance" to sum the previous column (month) or show nothing (to avoid zeroes).
Searching on internet I found several sites to get the running totals by rows, but not by columns.
Any suggestions?
Try Something like this:
Maesure =
CALCULATE (
[Accounting Balance],
FILTER (
ALL ( 'table' ),
'table'[Transaction month] <= MAX ( 'table'[Transaction month] )
)
)