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 am looking for a formula to calculate the number of weekdays/business days between two dates in power pivot.I do the same in SQl using the following query
DATEDIFF(dd, Date1, GETDATE()) - (DATEDIFF(wk, Date1, GETDATE()) * 2) - CASE WHEN DATEPART(dw, Date1) = 1 THEN 1 ELSE 0 END + CASE WHEN DATEPART(dw, GETDATE()) = 1 THEN 1 ELSE 0 END END
We are trying to compare our current calendar week (based on Monday being the first day of the week) with the previous calendar week.
I'm trying to produce a line chart with 2 axis:
- x axis; the day of the week (Mon, Tues, Wed etc - it is fine for this to be a # rather than text e.g. 1 = Mon, 2 = Tues etc) - y axis; the cumulative number of orders
The chart needs two series:
Previous Week. The running count of orders placed that week. Current Week. The running count of orders placed this week.
Obviously in such a chart the 'Current Week' series is going not going to have values along the whole axis until the end of the week. This is expected and the aim of the chart is to see the current week compares against the previous week for the same day.
I have two tables:
Orders TableCalendar Table
The calendar table's main date column is [calDate] and there are columns for the usual [calWeekNum], [calMonth] etc.
My measure for counting orders is simply; # Orders: = countrows[orders].
How do I take this measure and then work out my two series. I have tried numerous things such as adapting TOTALMTD(), following articles such as these:
- [URL] ... - [URL] ...
But I have had no luck. The standard cumulative formulas do work e.g. if I wanted a MTD or YTD table I would be ok, it's just adjusting to a WTD that is causing me big issues.
I am trying to calculate how much revenue we may get, based on potential new business opportunities. The core fields we have are
Total Contract Value ($ or £)Duration of contract (months)Revenue start dateVarious information about the new business - ID, Title, Customer etc.
We can easily calculate the revenue per month with "Total Contract value divide by duration".
However what I would really like to do is be able to know how much revenue we will be getting each month.
To do this I was thinking we should probably create a new row for each month entry, with the mm-yyyy being the only difference for each row. But how to create the appropriate months and the correct amount of rows.
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)".
I 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?
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.
I 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.
I'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:
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.
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
Any 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.
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
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:
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.
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.
Imagine a 5 column dataset with the following fields - Organiser, Date of Invoice, Total Invoice Value, Reimbursements and Service tax charged. Using the PowerPivot, I want to determine the "Growth in Professional fee billed over the previous period" - please note that previous period need not be previous year because a client may be billed after a gap of 1-2 years as well.To compute growth, I first need to determine the absolute value of Professional fee billed over the previous period. This is where I am getting stuck. Since the billing periods for different clients need not be consecutive, I cannot use the SAMEPERIODLASTYEAR function.
In trying to solve the problem, I tried to frame a calculated field formula but could not do so. Therefore, I tried solving it via a calculated column formula in the PowerPivot window. My idea here was to determine the client wise previous financial year for each row and then use this column in a calculated field formula to get my desired result. I am getting an error when I write this formula (see Billing data tab of PowerPivot window).
What I'm looking to do is very much the image below. I need to bucket the DOS. I cannot do a calculation in a column because the DOS needs to recalculate based on filter changes or how graphs are setup. My DOS is a calculated field. When I try to create a calculated field to create the buckets I can't use it in a pivot table or powerview.
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.
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).
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):
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 have some requirement in PowerBI reports. Here we have a table and having Date, Events columns. Below is the sample data..we are creating a measure to calculate the average of the event count for month.We need a measure for calculating Average of Event count per month= sum(Events for a month)/numberofdays in the month.Example for January month : sum(343423)/31 (31 number of days in January)
When we write this measure using DAX query in Excel we are getting semantic error.Tried sample formula : Average:=SUM([Events])/EOMONTH([EventDate],1)
writing this DAX command for measure.After having this data ready, we are creating PowerBI reports on this data.
I am trying to show images in a product listing in power view.I work with an excel 2013 desktop version based on an office 365 pro account.I did the following steps:
import of an excel file with an article list via power query and loading the data to the data model import jpg images from a folder via power query, setting content as binary type and loading the data to the data modellinking both tables in power pivot--> manage via the image namesetting the table behavior for the images table under power pivot --> manage --> Advanced (e.g. Default Image: Content)opening power view and building article cards with article number and imageProblem: only a camera icon shows up in power view
Is there a solution with a desktop version?Can I use my Office 365 Pro account to make it work? How?Why is there no solution showing images in a pivot table?Link to Dropbox with power pivot files
Creating a burn down chart using a running total of cumulative hours with the following formula:
CumulativeHoursLeft:=CALCULATE ( SUM('Projects'[Budget hours]) - SUM ( 'hours'[Hours] ), FILTER ( ALL ( 'hours'[Date] ), 'hours'[Date] <= MAX ('hours'[Date]) ) )
Works great except that in a Line Chart using [Date] as the Axis and CumulativeHoursLeft as the value, I get these spikes on days for which the employee reported no hours. I do know what exactly the measure is doing in this instance and I do not get this in a table, those dates simply do not appear. I have tried both Categories and Continuous for the Line Chart. I have also tried filtering where [Date] is not blank.how to get rid of the spikes?
I have below tables in my power pivot.Fact 1 & Fact 2 - connected directly to Mainframes - Data is from the same table broken up due to size of the data.Date Table - Relation ship between both the fact tables.How do i create a summary pivot to get the number of tasks that have been completed in each month.
I have several reports in a Power View Gallery. In Gallery view, most of the reports show the "Open New Excel Workbook", the "Create Power View Report", and the "Manage Data Refresh" buttons on the right side of the report list. Why would some reports not have these buttons available? In the attached image you can see one report with the buttons and one without the buttons.
I've imported a number of excel sheets into a Power Query Table. All seems to appear ok until I load the data. Of the 15k rows around 2k have a similar error where it cannot convert an integer to type string as below example
Expression.Error: We cannot convert the value 40 to type Text. Details: Value=40 Type=Type
The columns in question are all of integer type, I've looked through the M query and there is no conversion to string taking placeThe values where we don't get the error are also integers hence the intriguing question is why does the error occur on a subset and not the others. I suspect there is a limit to the number of errors also somewhere internally M query is converting the column to text for some reason.
Slow loading issue with an if statement. In the raw data the field [Location] is a text field e.g. 0010. I have a parameterised query that get a Location_Value from Excel and passes it to the PQ query using:
#"Filtered Rows1" = Table.SelectRows(#"Removed Other Columns", each ([SalesMode] = 0) and ([SalesType] = 0) and ([Location] = Location_Value))
This works fine if you chose a single location. However I wanted to be able to select all locations and text is horrible to work with so in PQ I used the change type function to change the location column into whole numbers. I changed excel to also pass a number as Location_Value. I was therefore surprised when the same query took 2.5 times longer to refresh????
My PQ now looks like this
#"Changed Type" = Table.TransformColumnTypes(#"Removed Other Columns",{{"Location", Int64.Type}}), #"Filtered Rows1" = Table.SelectRows(#"Changed Type", each ([SalesMode] = 0) and ([SalesType] = 0) and ([Location] = Location_Value))
I'm wondering if I need to do something to the ([Location] = Location_Value) bit as maybe it still thinks [Loation] is text and it is trying to compare it to a number. I st assumed the step above meant that [Location] was now a number, but maybe you still have wrap it with some kind of VALUES or TEXT function?
