I am starting to use all de PowerBI tools for a customer.
On the data they have three shops (1,2 and 4, named in the table "botiga") and diferent departments (named in the table "departament").
I need to calculate the sales (named "vendes" or Ventas[import]) of all the departments and all the shops but I have to exclude in the calculation the ones that correspond to the shop 1 and 2 and also correspond to the department 61.
All the realated columns are in the same table named "Ventas"
I did it and it Works with this measure:
vendes sense carnisseria:=[Vendes]-SUMX(FILTER(Ventas;Ventas[Botiga]<>"4" && Ventas[Departament]="61");Ventas[Import])
Vendes:=sum(Ventas[Import])
But I am sure that theri is a better way to do it, I have tried to do like in excel when we do SUMIF but doesn't seems to work.
I use FILTER beacouse I want that the data filters used in the associated pivot table remain.
Calculate is like a supercharged Sumif.
Try something like
Carnisseria:=
[vendes] - Calculate([vendes];Ventas[Botiga]<> "4"; Ventas[Departament]="61")
I would also check that you want any shop that isn't #4 or if you want just shops #1 and #2. While that yields the same results right now, it may not in the future.
Related
I don't know if I even worded the question correctly, but I'm trying to create a measure that depends on what is showing in the pivot table (using PowerPivot). In the image I posted, "DealMonth" is an expression in the PowerQuery table itself that simply takes the start date of the employee and subtracts it from the month a deal was closed in. That will show how long it took for that salesperson to close the deal. "TenureMonths" is also an expression in the PowerQuery table that calculates the tenure of the person. The values populating this screenshot are coming from a total headcount measure created. What I'm trying to do is create a separate measure that will show when the "TenureMonths" is less than the "DealMonth." So if the TenureMonths is 5, then after DealMonth of 5, the value would be 0. Is this possible?
Screenshot
I should add the following information.
"DealMonth" - Comes from the FactData table
"TenureMonths" - Comes from the DimSalesStart table
These two tables are joined by name. I feel like I'm so close because I can see what I want. The second image below is a copy/paste of the pivot table result but with my edits to show what I'd want to have shown. Basically, if(TenureMonths >= DealMonth,1,0). The trouble seems to be that since they're in two different tables, I can't make it work. The rows in the fact table are transactions, but the rows in the dim table are just the people with their start and end dates.
Desired Result
This is possible with some IF([measure1]<[measure2],blank(),[measure1]), however without seeing more of the data it will be hard to guide you specifically.
However you need to create two separate measures, one for TenureMonths and one for DealMonth, depending on the data this can be done with an aggregator forumla such as sum, min, max, etc (depends if there will be more than one value).
Then reference those two measures in the formula pattern I mentioned above, and that should give you want you want.
I figured out a solution. I added a dimension table for DealMonth itself and joined to my fact table. That allowed me to do the formulas that I needed.
Hello, here is my dataset :
What I would like to have is a filter on Campagne which shows all the other Campagne if the Contract number is the same. I explain myself. If I click on Campagne 3 in my filter, I want to see 1, 2, 3 and the attribution (the attribution by Campagne, not a Sum). Here is the expected result :
For now, the only solution that I have is to use a "temporary" table. But it's not optimal because I have to duplicate the data.
Any idea ?
Thanks a lot.
You are going to have to create an extra table or two to get the slicer to work how you want. There's no way around it, but you only need to duplicate part of the data. Here's what I would suggest.
Create a new Slicer table by summarizing the Campagne and Contrat columns from your original table.
Slicer = SUMMARIZE(Table1, Table1[Campagne], Table1[Contrat])
Now since you want the filtering to be done by Contrat and this would require a many-to-many relationship with the original table, you need to create a bridge table.
Contracts = VALUES(Table1[Contrat])
Now set up the relationships on Contrat making sure that the Slicer to Contracts relationship has cross-filtering enabled both ways.
Now you can use the Slicer[Campagne] column for your slicer and put Table1[Campagne] on your table and it should filter how you want.
I need to get sales figures from open orders, sorted by code. The items are separated in the stock table by lot number (for traceability reasons) but the lot numbers do not appear in the orders table. The only link between the 2 tables is the part number.
When my query
SELECT code, SUM(qty*price) AS Sales
FROM orders INNER JOIN stock ON orders.partno = stock.partno
GROUP BY code
started returning strange results (very high sales figures for a given code), I changed it to
SELECT DISITNCT orders.partno, stock.lot, stock.code
FROM orders INNER JOIN stock ON orders.partno = stock.partno
and noticed that if several lots of a given part are in stock they are all returned
Part1 LotA code
Part1 LotB code
Part1 LotC code
which means that if a customer orders 300 units of Part1, my query returns 900 and my sales figure is multiplied by 3.
How can I work around that?
It must be noted that I do not work from a database but from a group of tables, the structures of which can sometimes be whimsical.
You should really use table.column or alias.column reference when writing queries. As your question stands, we do not know which table the PRICE comes from... the parts table or the lots table. If you are dealing with inventory tracking such as FIFO or LIFO method accounting, you must have an association to the lot table for inventory being tracked/sold.
Now, why are you getting large numbers? That is because of a Cartesian result. If you are not familiar with that, for each record in one table joined to another, it is returning however many matches.
So, if you have an order of one line item, there is only one line item in a products available table. So this is simple 1:1 ratio. Now, you have your STOCK table that can have multiple records for the exact same part number. You are now returning the same original order line item for EACH LOT ENTRY in the Stock table. So now, for your 1 item, you are getting 3 lots (1:3 result).
I know this is important from a cost-of-goods sold basis, hence your need to know which "lot" it is joined to so you only get that one specific record for proper pricing.
If however, you do have a generic product table of everything you sell, and that table has a generic common price no matter which "lot" was used for the sale, I would join to that table instead for your report. But you will still have the accounting issue of inventory, cost-of-goods, etc.
I am using SSRS 2008.
I have a report with 2 different matrix tables having two different datasets as their sources.
The data comes fine in both the tables individually.
BUT
My issue starts where I have to use data from one table to calculate percentage in the second table.
Here are the details:
Table 1:
Contains columns: Date, Referal_Status ('1' for each valid row), Department
Table 2:
Contains Columns: Date, Membership_Status ('1' for each valid row), Department
In table 1, I need to show referral counts (sum of valid Status) grouped by month in columns, and grouped by department in rows. Also an additional row and column for totals of the same.
This is implemented with no issues.
In table 2, I need to show membership counts (sum of valid Status) AND referals to membership percentage grouped by each month in columns, and grouped by department in rows. Also an additional row and column for totals of the same. The issue starts when I try to implement the percentage calculation.
Let's say I have the membership counts number for April 2014 in the membership table. How do I take the referrals count number for April 2014 from the referral table and compute the April 2014 percentage as referal_num/Membership_Num * 100
The issue that I face is the scopes of both the matrix tables being different.
Please help me attain the above in the SSRS matrix tables.
Am I providing enough information to get through to you folks about my issue? Please let me know in case you need more information from me.
This is often a road to misery, but anyway ...
I would use the Lookup Function to retrieve the Referrals count. You will need to concatenate your two key columns (Date and Department) into one expression.
This sounds great and often works well. However when it doesn't work on odd rows or combinations of data, you are flying blind trying to debug it.
Good luck!
PS: actually for a reliable solution that is easy to debug, I would go back and combine the data upstream so it can be presented to SSRS in one Dataset. I would probably use SSIS for this.
newparts_calc
if (([MonthToDateQuery].[G/L Account] = 4200 and [Query1].[G_L_Group] = 'NEW')) THEN ([Credit Amount]-[Debit Amount]) ELSE (0)
Data Item1
total([newparts_calc])
I need Data Item1 to return newparts_calc values only.
So for example in 1st row Data Item1 should be 8,540.8, but is 34,163.2
Whats wrong? how do i fix?
REVISED QUESTION
I apologize for not making sense on the original question.
I have many of the calc's that im trying to gather and put on a crosstab. I want to see sales by month (row) and part category (column)
[Query2] is the one shown in picture above.
It joins [MonthToDateQuery] AND [Query1]
The join is on 'Invoice' and carnality is 1..1 = 1..1
[MonthToDateQuery] is based on the package im working in. General ledger. It supplies the g/l entries for each sales g/l account
[Query1] is a SQL query i brought in to be able to break out categories even further from g/l group.
For example g/l account 4300 is rebuilt. However i needed to break out even further to see Rebuilt-Production and Rebuilt-New. I can do that with the g/l group.
I saw in my g/l account ledger entries that it referenced the invoice number. So thats how i tied in my SQL.
So as you can see from the table below (which is the view tabular data from query) i need a total. I have tried plugging newparts_calc into my crosstab and setting aggregation to total but the numbers still dont seem right. I dont think i have something set as it should be.
All the calc's im doing are based on single or multiple G/L Accounts and single or multiple G/L Groups.
Any Advice?
As you can see the problem seems to be duplicate invoice numbers.
How can i fix?
Couple things come to mind:
-Set the processing order to 2
-Since your calc is always a multiple and you are joining two queries, you may need to check your cardinality. Sometimes it helps to add derived queries to ensure you are working with the correct grain.
I'm obviously missing something, but if you want
I need Data Item1 to return newparts_calc values only.
just use newparts_calc, without total? That would give you proper value for row 1 -)
If you need a running-total for days (sum of values for previous days) — you should use a running_total function.
At a guess, one of your two queries is returning multiple rows for each invoice, which will cause this double counting. Look at the output of the two queries and see if that's happening. If so, then you just need to work out how to collapse that down to one row per invoice.
Per your new question - The underlying data has got to be causing the issue. Its clearly not 1:1 (note that even though this is what your stated cardinality is, Cognos does not enforce 1:1). Invoice number is not unique, GL Group is at a lower level.