How can I apply "Min" formula under a "new measure" (calculated field) within a pivot table under Power pivot 2010?Can see that neither does it allow me to apply "min" formula directly "formula box" nor could find any other option.Intent formula: "=Min(1,sum(a:b))" this isn't allowed so all I can do is "=sum(a:b)".
View 3 RepliesCan I force the following measure to be visible for all rows in a pivot table?
Sales Special Visibility:=IF(
HASONEVALUE(dimSalesCompanies[SalesCompany])
;IF(
VALUES(dimSalesCompanies[SalesCompany]) = "Sales"
;CALCULATE([Sales];ALL(dimSalesCompanies[SalesCompany]))
;[Sales]
)
;BLANK()
)
FYI, I also have other measures as well in the pivot table that I don't want to affect.
I'm trying extract a column from the table based on certain Conditions: This is for PowerPivot.
Here is the scenario:
I have a table "tb1" with (project_id, month_end_date, monthly_proj_cost ) and table "tb2" with (project_id, key_member_type, key_member, start_dt_active, end_dt_active).
I would like to extract Key_member where key_member_type="PM" and active as of tb1(month_end_date).
Is this possible using DAX ?
I cannot create a measure that returns results for dates that do not exist in the fact table despite the fact that the components included in the measure contain valid results for these same dates.Creature a measure that counts the number of days where the "stock qty" is below the "avg monthly sales qty for the last 12 months" (rolling measure).Here is the DAX code I have tried for the measure (note that filter explicitly refers to the date table (called Calendar) and not the fact table):
StkOutCnt:=CALCULATE (
COUNTROWS ( VALUES ( Calendar[DateKey] ) ),
FILTER (
Calendar,
[Stock qty] < [Avg Monthly Sales Qty L12M@SKU]
)
)
Below you can see the sub measures (circled in red) are giving results for all days in the calendar.Highlighted in yellow are dates for which the StkOutCnt measure is not returning a result. Having investigated these blank dates, I am pretty confident that they are dates for which there are no transactions in the fact table (weekends, public holidays etc...).why I am getting an "inner join" with my fact table dates despite the fact that this is not requested anywhere in the dax code and that the two sub measures are behaving normally?
We are trying to do some utilization calculations that need to factor in a given number of holiday hours per month.
I have a date dimension table (dimdate). Has a row for every day of every year (2006-2015)
I have a work entry fact table (timedetail). Has a row for every work entry. Each row has a worked date, and this column has a relationship to dimdate.
Our holidays fluctuate, and we offer floating holidays that our staff get to pick. So we cannot hard code which individual dates in dimdate as holidays. So what we have done is added a column to our dimdate table called HolidayHoursPerMonth.
This column will list the number of holiday hours available in the given month that the individual date happens to fall within, thus there are a lot of duplicates. Below is a brief example of dimdate. In the example below, there are 0 holiday hours for the month of June, and their are 8 holiday hours for the month of July.
DateKey MonthNumber HolidayHoursPerMonth
6/29/2015 6 0
6/30/2015 6 0
7/1/2015 7 8
7/2/2015 7 8
I have a pivot table create based of the fact table. I then have various date slicers from the dimension table (i.e. year, month). If I simply drag this column into the pivot table and summarize by MAX it works when you are sliced on a single month, but breaks if anything but a single month is sliced on.
I am trying to create a measure that calculates the amount of holiday hours based on the what's sliced, but only using a single value for each month. For example July should just be 8, not 8 x #of days in the month.
Listed below is how many hours per month. So if you were to slice on an entire year, the measure should equal 64. If you sliced on Jan, Feb and March, the measure should equal 12. If you were to slice nothing, thus including all 15 years in our dimdate table, the measure should equal 640 (10 years x 64 hours per year).
MonthNumberOfYear HolidayHoursPerMonth
1 8
2 4
3 0
4 0
5 8
6 0
7 8
8 0
9 8
10 4
11 16
12 8
I have a simple pivot table (screenshot below) that has two variables on it: one for entry year and another for 6 month time intervals. I have very simple DAX functions that count rows to determine the population N (denominator), the number of records in the time intervals (numerator) and the simple percent of those two numbers.
The problem that I am having is that the function for the population N is not overriding the time interval on the pivot table when I use an ALL function to do so. I use ALL in other very simple pivot tables to do the same thing and it works fine.
The formula for all three are below, but the one that is the issue is the population N formula. Why ALL would not work, any other way to override the time period variable on the pivot table.
Population N (denominator):
=CALCULATE(COUNTROWS(analyticJudConsist),ALL(analyticJudConsist[CurrentTimeInCare1]))
Records in time interval (numerator):
=COUNTROWS(analyticJudConsist)
Percent:
=[countrows]/[denominatorCare]
I have simple pivot table (below screenshot with info redacted) that displays a population number ("N" below), this is the denominator, a cumulative numerator number (below "#") and a simple cumulative percent that just divides the numerator by the denominator. It cumulates from top to bottom. The numerator and percent are cumulative using the below functions. There are two problems with the numerator and percent:
1. When there is not a number for the numerator, there is no value displayed for both the numerator and the percent..There should be a zero displayed for both values.
2. When there has been a prior number for the numerator and percent (for a prior month interval) but there is no number for the numerator in the current month interval, the prior month number and percent are not displayed in the current month interval--see the 3rd yellow line, this should display "3" and "16.7%" from the second yellow line.Here is the formula for the numerator:
=CALCULATE(count(s1Perm1[entity_id]),FILTER(ALL(s1Perm1[ExitMonthCategory]),s1Perm1[ExitMonthCategory] <= MAX(s1Perm1[ExitMonthCategory])))
Here is the formula for the percent:
=(CALCULATE(countrows(s1Perm1),FILTER(ALL(s1Perm1[ExitMonthCategory]),s1Perm1[ExitMonthCategory] <= MAX(s1Perm1[ExitMonthCategory]))))/(CALCULATE(COUNTROWS(s1Perm1),ALL(s1Perm1[Exit],s1Perm1[ExitMonthCategory])))
Is it possible to generate automatic refresh of excel 2013 table which displays some table of a power pivot model on file open?? I dont want to use pivottable (which supports this ...)
View 2 Replies View RelatedI have a calculated measure that is "Cost Per Patient:=sum([ActualCost]) / sum(Patients[PatientCount])" and it works fine. I'd like to be able to create another calculated measure based on "cost per patient" that uses min, max and average of "cost per patient" but dax wont let me.
I've read about dax calculate but not sure how to use it in my situation. Here is background on the problem:
There are 2 fact tables, prescription cost and patient count. Both are related by a practice dimension. The practice dimension has a geography hierarchy of county - town - practice.
The "Cost Per Patient" works fine with the geography hierarchy. By that I mean it shows the correct value when looking at the different levels. For my new calculation, for example looking at the list of counties, I want to use the min, max and average of "Cost Per Patient" of all counties. To break the problem down, I was going to start with creating and testing separate calculated measures for min, max and average and that's where I am stuck.
My understanding of the problem is it's something to do with the context of where the calculation is being made. As I want to perform the min, max and average on all the children of the parent. This article explains it but I can't figure out how to apply it to my situation [URL] ....
We have a client that wants to take the Max value of a count at the Product level, but then for each Brand (Parent of product), sum the Max values for that particular slice. The example below shows the Max sales per month over the last 6 months.
Prod1 had it's best month in Month2 (20 units) and Prod2 had its best month in Month4 (30 units). Brandx should roll up to 50 units. Can DAX handle this in a single Calc Measure?
Brandx 50
Prod1 20
Prod2 30
Brandy 60
Prod5 40
Prod6 20
I have a calculated measure in Power Pivot that takes too long to run that it would max out my RAM when running it in Excel 2016 (for some reason it actually manages to run in Excel 2013 but still takes a long time). How to optimise the measure? I have shared the measure below. it is the Unique Leads (MTD) measure that I need to run in a pivot table that is broken down by everyday in a month. The Unique Leads (MTD) measure basically calculates the month-to-date unique leads where a unique lead is defined as an email address that has not appeared in the 'application' table thus far in a particular month.
Unique Leads (MTD):=[CumulativeUniqueApps]-CALCULATE([CumulativeUniqueApps], filter(allexcept('application', Affiliate[Affiliate], 'Lead Type'[Loan Type]), CALCULATE([CumulativeUniqueApps], filter('application', EARLIER([Date])< [Date]))))
CumulativeUniqueApps:=calculate(DISTINCTCOUNT([Email]), filter(allexcept('application', Affiliate[Affiliate], 'Lead Type'[Loan Type]), CALCULATE(DISTINCTCOUNT([Email]), filter('application', earlier([Date])<=[Date]))))
I have data in my Powerpivot window which was generated by a sql query. This data includes a field named 'Cost' and every row shows a value for 'Cost' greater than zero. The problem is that when I display this data in the pivot table all entries for Cost display as $0. At first I thought that maybe Cost was set to a bogus data type (such as 'text) but it is set to ''Decimal Number' so that's not the problem.
What is happening and how do I fix it so that my pivot table reflects the values for 'Cost'?
I have a data table that contains budget and actual data by month. I use the data to create a pivot that shows actual results next to budgeted results. I need a column that shows that variance between those columns. I think my issue is that the "Type" field contains actual and Budget. I sum on "Type". I can't seem to create a sum since those items are in the same field or am I missing something?
Table design
Month|Division|Subdivision|Type|Dept|Rate|Units|Amount
October|DC|Day|Budget|125|10.00|100|1000
October|DC|Day|Actual|125|10.00|110|1100
Output Design
DC
DAY
Actual
Budget
125 AvgOfRate
AvgOfRate
SumOfUnits
SumOfUnits
SumOfAmt
SumOfAmt
How to get a list of values to actually display in correct order in either a slicer or when on an axis on a pivot table?
I currently have the below list and have tried to add a preceding numeric (ex. "1. <=0") or preceding blank space, neither of which is visually great. Is there another way?
<= 0
1 - 6
7 - 12
13 - 18
19 - 24
25 - 30
31 - 36
37 - 42
43 - 48
49 - 54
55 - 60
61 - 66
67 - 72
73 - 78
79 - 84
85 - 90
91 - 96
97 - 102
> 102
I am using excel 2010 and creating pivot table from Power Pivot. I created a pivot table with department slicers. All is good, the problem I am having is whilst in an unfiltered position (ALL) of the slicers (departments) I get 200 pages, now when I click on a given department with say 10 pages, I still get the same 200 pages with the first 10 pages showing the data from the clicked department and 190 blank pages.
All I want is to get a WYSIWYG (What you see is what you get) of what is on the screen as my print, but I am getting extra blank pages right after the data. How do I resolve this.
Below are the steps I go thru to print
1. Select slicers in unfiltered position (ALL)
2. Select entire pivot table
3. Select Page layout and select print area.
4. Save
5. Click on Print Preview to preview the print
6. Click on a given department in the slicer and repeat item 5, but this gives me blank pages after the data.
Do I need any other step?
I am trying to calculate the sum of gross sales over a rolling 6 month period in PowerPivot and don't even know how to start.
View 2 Replies View RelatedI try to calculate the turnover of an employee based on all sales on this customer and the hours spends working for this customer.To simplify, I have 2 tables.General Ledger table.I have customer no and sales.And activity table,I have customer no, hours and users.To be able to calculate the average of a customer, I made an average value based on the sales/divided by the hours on activity table.Customer 1 sales of 100$.Value of the customer is 10$/H -> John 40$ / Mike 60$.How can I use the information 10$/h to use it with the hours from a employee.
View 3 Replies View RelatedI'm working on a measure which I'd like to use in PowerView, my data model contains 2 things:
1) Employees' scores
2) Stores in which employees work in
I would like to be able to put the employee's score in comparison to the store average (which is the average of all the employee's scores in the store), and then provide every employee with an individual report on their scores against their store's score (by tiling the view in PowerView by Employee). To do this, my (first attempt) at a measure for the store average looks like the following:
Overall_Avg:=CALCULATE([Score], ALL(Employee[Name]))
Which gives me the score of the employee vs. all other employees across all stores. What I'd like to then achieve is to add an additional filter that filters only the scores for the store that the employee belongs to - which is where I'm stuck.
Here are some of my attempts at them
Store_Avg:=CALCULATE([Score], ALL(Employee[Name]), FILTER(Employee[Store] = Store[Store Name]))
returns an error for me. However, trying:
Store1_Avg:= CALCULATE([Score], ALL(Employee[Name]), FILTER(Employee[Store] = "Store 1"))
works perfectly, but doesn't give me the desired output, which is 1 measure that changes the store depending on which employee (and thus store) is being selected.
I have a requirement in Power Pivot where I need to show value based on the Dimension Column value.
If value is Selling Price then Amount Value of Selling Price from Table1 should display, if Cost Price then Cost Price Amount Should display, if it is Profit the ((SellingPrice-CostPrice)/SellingPrice) should displayMy Table Structure is
Table1:-
Table2:-
My Report Output should be look like
If tried the below option:-
1. Calculated Measure:= If(Table[Category]="CostPrice",[CostValue],If(Table1[category]="SellingPrice",[SalesValue],([SalesValue]-[CostValue]/[SalesValue])))
*[CostValue]:=Calculate(Sum(Table1[Amount]),Table1[Category]="CostPrice")
*[Sales Value]:=Calculate(Sum(Table1[Amount]),Table1[Category]="SellingPrice")
Tried this in both Calculated Column and Measure but not giving me required output.
I have a table in `PowerPivot` which contains the logged data of a traffic control camera mounted on a road. This table is filled the velocity and the number of vehicles that pass this camera during a specific time(e.g. 14:10 - 15:25). Now I want to know that how can I get the average velocity of cars for an specific hour and list them in a separate table with 24 rows(hour 0 - 23) where the second column of each row is the weighted average velocity of that hour?
A sample of my stat_table data is given below:
count vel hour
----- -------- ----
133 96.00237 15
117 91.45705 21
81 81.90521 6
2 84.29946 21
4 77.7841 18
1 140.8766 17
[Code] ....
In a separate `PowerPivot` table I have 24 rows and 2 columns(column1 is for hours and column 2 for weighted averages) and when I enter my formula, the whole rows get updated with the same number. My formula is:
=sumX(FILTER(stat_table, stat_table[hour]=[hour]), stat_table[count] * stat_table[vel])/sumX(FILTER(stat_table, stat_table[hour]=[hour]), stat_table[count])
I have a problem copying data from column A to column B in Power Pivot.
View 3 Replies View RelatedI have written a simple DAX calculated column formula using SEARCH and got an error: It tells the text "PWP" cannot be found but as you can see the screen shows this text exsist within "Promotional Claim"The same happens when I try FIND function.
View 2 Replies View RelatedAny way to create a measure that filters the second column to mimic the behavior of only filtering for slicer for the Open Pool Date values as per the image below. Ultimately, I need to create a measure that only includes accounts that were opened 6 months prior to the month row context.
Trying to get the values in the second column to only include aging accounts 6 months prior instead of 12 months prior.
Trailing6Month Conversion:=CALCULATE([TOTAL LTD Converted Amount] ,Filter(Settlement700,Settlement700[OpenDatePool]>=RELATED(DimDate[Trailing6MonthsEnd])))
Trailing6Month LTD Conversion Amount:=CALCULATE([Trailing6Month Conversion],DATESINPERIOD(DimDate[FullDate],LASTDATE(DimDate[FullDate]),-6,Month))
I have a table with date in the following format:
orderID | dateOrdered | customerID
101 | 01/01/2015 | 1
102 | 02/02/2015 | 2
103 | 05/06/2015 | 3
I need to create a measure that tells me how many customer's placed an order in the previous 91 days of any given date, not necessarily today.
So, if you imagine a PivotTable which has a series of dates down the left hand side and 'totalNoCustomersLast60Days' as the only column, I need each day to tell me how many customers ordered in the x number of days.
For example if we say 60 days my table would look like the following:
Each row in this table would be telling me that "x number of customers placed orders within the period 60 days prior to,and including, the date on the left".
I have tried numerous ways of doing this and despite thinking it should be incredible simple it eludes me.
I have the following scenario. I want to apply some calculations on different levels and then aggregate them up.
First measure calculates at Productgroup,color,store,size level
ProductGroup Color Store Size Amount Quantity
Measure:Amount*Quantity (ProductGroup, Color, Store, Size)
A Blue Store A L 100 6 600
A Red Store A S 150 4 600
A Green Store A M 160 7 1120
B Blue Store A L 300 3 900
[Code] ........
The other measure ignores color
ProductGroup Store Size Amount Quantity
Measure:Amount*Quantity (ProductGroup, Store, Size)
A Store A L 100 6 600
A Store A S 150 4 600
A Store A M 160 7 1120
B Store A L 640 15 9600
[Code] ...
Ignoring that gives another figure for productgroup B. In the pivot, I should see both measures at whatever attribute, except for the measure that excludes color will be null if tried split on color
ProductGroup Amount Quantity (ProductGroup, Color, Store, Size) (ProductGroup, Store, Size)
A 410 17 2320 2320
B 640 15 2820 9600
C 170 5 430 430
How should the two measure be defined:
Measure (ProductGroup,Color,Store,Size)
Measure (ProductGroup,Store,Size)
The following measure returns Month Sales: (blank)
Month Sales:=TotalMTD(Sum([Sales Amount]),'Date'[Full Date])
I have a relationship between ResellerSales-OrderDateKey and Date-DateKey
The relationship works fine when I use it in Access
Say that I have employee data for 2010-2015. I have a pivot table that displays employee data for all the different months in 2015 I want each month to show all people who have been employed since the start of time until and including that month. So
for January 2015 it should show all people employed from January 2010 to January 2015.
for February 2015 it should show all people employed from January 2010 to February 2015.
for March 2015 it should show all people employed from January 2010 to March 2015.
How can I write a measure for this? I have a date table set up.
I want to count the rows in the Incident Table by using filters to limit the rows to be counted if they meet the below conditions. I know I need a logical test for each row of the incident table based on the apparatus table’s rows. But, I want to test for each row in the incident table, counting, but not returning a true or false in the overall measure.Something like look at each incident row, test for true or false and then count IF the statement is true. Then go to the next incident row and do the same. The aggregation would be the final count of “true” results.I tried this for MET objective:
=CALCULATE(COUNTROWS(incident),
apparatus[Incident Response Time] >-1 ||
apparatus[Incident Response Time] <320,
uv_901APP_TYPE[Description]="Engine",
uv_901INCIDENT[Top_Category]="Fire"
[code]....
I can't seem to upload images so here's the link: [URL] ....
I need to get the last value of # Orders week avg in the current context (the highlighted value). The calendar dimension here is a week level one so I don't think I can use LASTNONBLANK. The measure is from the facts_sales table which is linked to a calendar dimension via a date key.
My actual data is a bit more complicated, and uses fact and dimension tables, but I simplified it here.
I'm trying to build a chart that will compare sales of a single store to regional and national sales. The measures look like this:
Sales = SUM(FactTable[Net Sales])
Regional Sales = CALCULATE([Sales], ALL(FactTable[Store Number]))
National Sales = CALCULATE([Sales], ALL(FactTable))
And it ends up looking like this:
Note that the Store Number is selected, but the Store Region is not, it's just the result of cross-filtering. Regional Sales incorrectly matches National Sales. If I then select the Region, the measures work:
I'm actually using VBA to change the Store Number slicer, as the end users don't want to select the region, then scroll through a list of store numbers. They just want to enter a store number and hit enter. I've tried a few things in DAX and VBA, and failed.
I have a pivot table that connects to our data warehouse via a PowerPivot connection. The data contains a bunch of comment fields that are each between 250 and 500 characters. I've set the columns in this pivot table to have the 'Wrap Text' set to true so that the user experience is better, and they can view these comment fields more clearly.
However, whenever I refresh the data, the text wrapping un-sets itself. Interestingly, the 'Wrap Text' setting is still enabled, but I have to go and click it, then click it again to actually wrap the text. This is very burdensome on the user, and degrading the experience.
Any way to make this text wrapping stick so that I don't have to re-set it every time I refresh the data?
I have two data tables:
1) Production data with column headers: Key, Facility, Line, Time, Output
2) Costs data with column headers: Key, Site, Cost Center, Time, Cost
The tables have a common key named obviously as Key. The data looks like this:
Key
Facility
Line
Time
Output
Alpha
I would like to have two pivot tables which I can filter with ONE slicer based on the column Key. The first pivot table shows row labels Facility, Line and column labels Time. Value field is Output. The second pivot table shows row labels Site, Cost Center, and column lables Time. Value field is Cost.How can I do this with Power Pivot? I tried by linking both tables above to a table with unique Keys in PowerPivot and then creating a PivotTable where I would have used the Key from the Keys table.
The user wants to be able, using excel, to apply a filter to all measures in every measure group. I though that I can create a dimension with a single level with two members, let´s say "on" and "off" and depending on the selected member and using an IIF statement decide which formula applies to the calculated measures.
I have serious doubts about the performance and for this technique because I am thinking as a .Net developer and not as a cube developer. Maybe it is better to resolve it scoping the measures but I cannot figure it out.