I am working on a PowerPivot report that has the following tables/relationships:
FactTable:
Client
Issue
DateID
DimDate
DateID
Year
Quarter
Month
I wish to create a calculated measure that is COUNT(Issue)/DISTINCT(Client) by Year and Quarter and that is filtered to exclude clients who only had 1 issue per quarter from the calculation.
The first part of this is straightforward enough by creating two calculated measures:
[Distinct Client] = COUNTROWS(DISTINCT('FactTable'[Client]))
[Issues per Client] = 'FactTable'[Count of Issue]/'FactTable'[Distinct Client]
Pivot:
Row Labels = Year, Quarter
Values = [Issues per Client]
I'm just learning DAX so I'm not sure how to put go about this. It seems that CALCULATE() or CALCULATETABLE() are my best bets, but I don't know how to use it to filter on [Issues per Client per Quarter]. Any help would be appreciated!
One way I found to do this is to add Client as a Row Label and [Count of Issues] to Values then create a value filter for Client where [Count of Issues] is greater than 1.
Final output looks something like this with Quarter collapsed:
Year | Quarter | Client --- Count of Issue | Cases Per Client
Related
I need to divide the weekly budget by the number of working days per week to get a daily target.
The budget table has a structure like:
Area - YearWeek - Budget
The calendar table contains the column "IsWorkingday" with the information regarding the factor (1 for working day)
The following measure is not working:
Budget Phasing = DIVIDE([Budget], SUM('Calendar'[IsWorkingDay]))
[Budget] is a measure that contains the weekly budget.
As you can see in the picture below I get a right value on weekly level.
But I need the same value on a daily level.
daily target = Budget / SUM Workingdays
For example, for 25.05.2020 der should be 56.000 in der Budget Phasing
How can this be achieved?
Joshua, I think you are working with two tables - Budget and Calendar. Both tables are linked in my Data Model by [Week] column (which is a week number).
Try this measure, maybe this will help:
Budget Phasing =
var WeekNo = SELECTEDVALUE(tbl_Calendar[Week])
var WorkingDays = CALCULATE(
SUM(tbl_Calendar[IsWorkingDay]),
FILTER(ALL(tbl_Calendar), tbl_Calendar[Week] = WeekNo))
return
DIVIDE([Budget], WorkingDays)
The result seems to match your requirements:
I am facing a relatively trivial problem. I have a list of start dates for each fiscal year. For example, 03.01.2019 for the 2019 financial year or 30.12.2019 for the 2020 financial year.
Now I want the calculated column in my calendar table (Power Pivot) to count up from the start date from 1-53 per week until the next start date.
It would look like this:
03.01.2019 - 1
04.01.2019 - 1 ....
Does anyone know how to do this?
You cen get the ISO 8601 weeknumbers by adding 21 in the optional part. Here a quick example I created. But if you also have dates which start in the middle of the year you should go with a calendar, like #Kosuke Sakai posted:
Generally, the recommended approach for this requirement is to prepare a fiscal calendar in the data source (DWH, MDM, Excel, or somewhere), rather than to calculate with DAX.
Having said that, it is possible with DAX.
Assuming you have a table like below. (Let's call it FiscalYears)
First, you need to add FiscalYear calculated column to your Calendar table with following formula.
FiscalYear :=
VAR CurrentDate = [Date]
RETURN CALCULATE (
MAX ( FiscalYears[FiscalYear] ),
FiscalYears[StartDate] <= CurrentDate
)
Then, you can use this to calculate WeekNumberInFiscalYear column.
WeekNumberInFiscalYear :=
VAR StartDate = LOOKUPVALUE (
FiscalYears[StartDate],
FiscalYears[FiscalYear],
[FiscalYear]
)
RETURN DATEDIFF ( StartDate, [Date], WEEK ) + 1
The result will be looking like below.
hope you are doing well and can help solve this puzzle in DAX for PowerBI and PowerPivot.
I'm having troubles with my measure in the subtotals and grand totals. My scene is the following:
I have 3 tables (I share a link below with a test file so you can see it and work there :robothappy:):
1) "Data" (where every register is a sold ticket from a bus company);
2) "Km" (where I have every possible track that the bus can do with their respective kilometer). Related to "Data";
3) and a "Calendar". Related to "Data".
In "Data" I have all the tickets sold from a period with their price, the track that the passenger bought and the departure time of that track.
Each track can have more than 1 departure time (we can call it a service) but only have a specific lenght in kilometers (their kilometers are specified in the "Km" table).
Basically what I need is to calculate the revenue per kilometer for each service in a period (year, month, day).
The calculation should be, basically:
Sum of [Price] (each ticket sold in the period) / Sum of [Km] (of the period considerating the services with their respective kilometers)
I managed to calculate it for the day granularity with the following logic and measures:
Revenue = SUM(Data[Price])
Unique dates = DISTINCTCOUNT(Data[Date])
Revenue/Km = DIVIDE([Revenue]; SUM(Km[Km])*[Unique dates]; 0)
I created [Unique dates] to calculate it because I tried to managed the subtotals of track granularity taking into account that you can have more than 1 day with services within the period. For example:
For "Track 1" we have registered:
1 service on monday (lunes) at 5:00am.
Revenue = $1.140.
Km = 115.
Tickets = 6.
Revenue/Km = 1.140/115 = 9,91.
1 service on tuesday (martes) at 5:00am.
Revenue = $67.
Km = 115.
Tickets = 2.
Revenue/Km = 67/115 = 0,58.
"Subtotal Track 1" should be:
Revenue = 1.140 + 67 = 1.207.
Km = 115 + 115 = 230.
Tickets = 6 + 2 = 8.
Revenue/Km = 1.207/230 = 5,25.
So at that instance someone can think my formula worked, but the problem you can see it when I have more than 1 service per day, for example for Track 3. And also this impact in the grand total of march (marzo).
I understand that the problem is to calculate the correct kilometers for each track in each period. If you check the column "Sum[Km]" is also wrong.
Here is a table (excel file to download - tab "Goal") with the values that should appear:
[goal] https://drive.google.com/file/d/1PMrc-IUnTz0354Ko6q3ZvkxEcnns1RFM/view?usp=sharing
[pbix sample file] https://drive.google.com/file/d/14NBM9a_Frib55fvL-2ybVMhxGXN5Vkf-/view?usp=sharing
Hope you can understand my problem. If you need more details please let me know.
Thank you very much in advance!!!
Andy.-
Delete "Sum of Km" - you should always write DAX measures instead.
Create a new measure for the km traveled:
Total Km =
SUMX (
SUMMARIZE (
Data,
Data[Track],
Data[Date],
Data[Time],
"Total_km", DISTINCT ( Data[Kilometers Column] )
),
[Total_km]
)
Then, change [Revenue/Km] measure:
Revenue/Km = DIVIDE([Revenue], [Total Km])
Result:
The measure correctly calculates km on both subtotal and total levels.
The way it works:
First, we use SUMMARIZE to group records by trips (where trip is a unique combination of track, date and time). Then, we add a column to the summary that contains km for each trip. Finally, we use SUMX to iterate the summary record by record, and sum up trip distances.
The solution should work, although I would recommend to give more thoughts to the data model design. You need to build a better star schema, or DAX will continue to be challenging. For example, I'd consider adding something like "Trip Id" to each record - it will be much easier to iterate over such ids instead of grouping records all the time. Also, more descriptive names can help make DAX clean (names like km[km] look a bit strange :)
Using the Start Date and End Date of PTO - Personal Time Off Days Used only count days used up to end of prior month, excluding weekends and U.S Holidays in that certain month. Example of a Holiday is Sept 7th 2015 in the United States.
My goals are:
Create a Data Item Month End Personal Time Off Days used.
Of course it should be getting the number of PTO Days USED from the prior month only.
Exclude weekends in that certain month. So if the Resource takes a Leave on Friday and Monday, Saturday and Sunday should not be excluded in the computation.
How to exclude U.S Holidays, if this is possible that's great but if it's not possible then I'm okay with numbers 1, 2 and 3.
I have created a Data Item column that captures the PTO days used. But this is good for Year to date.
Case when [PTO Info].[PTO Audit].[PTOAuditTypeId] = 31571
and [PTO Info].[PTO Audit].[TimeOffTypeId] = 31566
then [PTO Info].[PTO Audit].[PTODays]
when [PTO Info].[PTO Audit].[PTOAuditTypeId]=31572
and [PTO Info].[PTO Audit].[TimeOffTypeId] = 31566
and [PTO Info].[PTO Audit].[PTODays] < 0
then abs([PTO Info].[PTO Audit].[PTODays] )
else 0 end
I'm not sure if the query below can help.
A calendar table is really going to help you out here. Assuming it has one record per calendar date, you can use this table to note weekends, holidays, fiscal periods vs Calendar periods, beginning of month/end of month dates. A number of things that can help simplify your date based queries.
See this question here for an example on creating a calendar table.
The main point is to create a data set with 1 record per date, with information about each date including Month, Day of Week, Holiday status, etc.
Without a calendar table, you can use database functions to generate your set of dates on the fly.
Getting the Month number for a date can be done with
extract([Month], <date field goes here> )
Getting a list of values from nothing will be required to generate your list of dates (if you don't have a calendar table with 1 record per date to use) will vary depending on your source database. In oracle I use a 'select from all_objects' type query to achieve this.
An example from Ask Tom:
select to_date(:start_date,'dd-mon-yyyy') + rownum -1
from all_objects
where rownum <=
to_date(:end_date,'dd-mon-yyyy')-to_date(:start_date,'dd-mon-yyyy')+1
For Sql Server refer to this stackoverflow question here.
Once you have a data set with your calendar type information, you can join it to your query above:
join mycalendar cal on cal.date >= c.PTOStartDate
and cal.date <= c.PTOEndDate
Also note, _add_days is a Cognos function. When building your source queries, try and use Native functions, like in oracle you can 'c.PTOStartDate + a.PTODays'. Mixing Cognos functions with native functions will sometime force parts of your queries to be processed locally on the Cognos server. Generally speaking, the more work that happens on the database, the faster your reports will run.
Once you have joined to the calendar data, you are going to have your records multiplied out so that you have 1 record per date. (You would not want to be doing any summary math on PTODays here, as it will be inflated.)
Now you can add clauses to track your rules.
where cal.Day_Of_Week between 2 and 6
and cal.Is_Holiday = 'N'
Now if you are pulling a specific month, you can add that to the criteria:
and cal.CalendarPeriod = '201508'
Or if you are covering a longer period, but wanting to report a summary per month, you can group by month.
Final query could look something like this:
select c.UserID, cal.CalendarPeriod, count(*) PTO_Days
from dbo.PTOCalendar c
join myCalendar cal on on cal.date >= c.PTOStartDate
and cal.date <= c.PTOEndDate
where cal.day_of_week between 2 and 6
and cal.Is_Holiday = 'N'
group by c.UserID, cal.CalendarPeriod
So if employee with UserID 1234 Took a 7 day vacation from thursday June 25th to Friday July 3th, that covered 9 days, the result you get here will be:
1234 201506 4
1234 201507 3
You can join these results to your final query above to track days off per month.
Ive spent the last 2 days trying to get this, and I really just need a few pointers. Im using Excel 2010 w/ Power Pivot and calculating inventories. I am trying to get the amount sold between 2 dates. I recorded the quantity on hand if the item was in stock.
Item # Day Date Qty
Black Thursday 11/6/2014 2
Blue Thursday 11/6/2014 3
Green Thursday 11/6/2014 3
Black Friday 11/7/2014 2
Green Friday 11/7/2014 2
Black Monday 11/10/2014 3
Blue Monday 11/10/2014 4
Green Monday 11/10/2014 3
Is there a way to do this in dax? I may have to go back and calculate the differences for each record in excel, but Id like to avoid that if possible.
Somethings that have made this hard for me.
1) I only record the inventory Mon-Fri. I am not sure this will always be the case so i'd like to avoid a dependency on this being only weekdays.
2) When there is none in stock, I dont have a record for that day
Ive tried, CALCULATE with dateadd and it gave me results nearly right, but it ended up filtering out some of the results. Really was odd, but almost right.
Any Help is appreciated.
Bryan, this may not totally answer your question as there are a couple of things that aren't totally clear to me but it should give you a start and I'm happy to expand my answer if you provide further info.
One 'pattern' you can use involves the TOPN function which when used with the parameter n=1 can return the earliest or latest value from a table that it sorts by dates and can be filtered to be earlier/later than dates specified.
For this example I am using a 'disconnected' date table from which the user would select the two dates required in a slicer or report filter:
=
CALCULATE (
SUM ( inventory[Qty] ),
TOPN (
1,
FILTER ( inventory, inventory[Date] <= MAX ( dates[Date] ) ),
inventory[Date],
0
)
)
In this case the TOPN returns a single row table of the latest date earlier than or equal to the latest date provided. The 1st argument in the TOPN specifies the number of rows, the second the table to use, the 3rd the column to sort on and the 4th says to sort descending.
From here it is straightforward to adapt this for a second measure that finds the value for the latest date before or equal to the earliest date selected (i.e. swap MIN for MAX in MAX(dates[Date])).
Hope this helps.
Jacob
*prettified using daxformatter.com