I need to set some RLSs on some tables and columns, and for a specific Matrix I want to show all the all the other values, that are not shown to that specific user, summed up together as "Others". I give you an example.
I have a matrix which on the rows and columns has different product categories and the values are the impact in $ that each category has on the others (it is the sum of multiples rows under IMPACT column in the source table). Particularly, the rows are the impacted products while the columns the impacting ones.
The Matrix looks like this:
I want to create an additional label , OTHERS, which has to be displayed both as a column and row, which sums up all the values of the non-shown values. For instance, for the RED RLS categories I want to get a matrix like this:
FYI, I want to keep the totals of the rows and columns.
Does anybody have any ideas?
I tried to create some measures and calculated tables but I was not able to get the final view I want.
Related
I have been provided with two tables 1. sales table and 2.Items and it's characters. (The second table has two or more lines for one item if it has more than one characters)
I am trying to get the sum of sales value for the items based on its characters.
I have created a unique characters table and a unique material tables to link to other tables
In power pivot I am able to get the sum of sales by the material in U_Material, but if I include the Characters from U_Item and characters, then I am getting all the characters in the table and the sum, but actually it has only one characters (other characters are repeated with same value). what can i do to solve this.
if I don't include the materials or put them in filter then I get the overall sales value in the output but not as per the category.
Please let me know what I am doing wrong.
The problem is in your model. Your Fact table "Sales" are filtered only by U_Item any of your other tables don't have an impact on it; You should change the model to star/snowflake. Put "Sales" in the center, rest of your tables (Dimension) connect by relationship one to many (many on Sales side);
Data:
I have two datasets, design-wise set up in Excel as a matrix with first ID and lots of rows, and with the rest of the columns in the data set have 1-1 headers id numbers, so like 500 rows and around 45 columns.
Like ID, ColumnB, ColumnC
The other matrix has the same headers, but different order. It does not seem to matter.
Challenge:
So I need to find the differences between the two. I made an anti-left join on ID and then I get the ID that are in the one data set and not the other, right? So I make one for each way, so I get the ID that are missing in the respective datasets(/matrix).
I need to do the same trick, even if both IDs are there and then I get only the data with a difference across all columns, so if there for a rowID is a "X" in ColumnB in dataset1, but NO "X" in ColumnB dataset2, then I want to include it in my new table. So if there are, for the two rows compared in the two datasets, a difference in just one of the columns, I need to know and want it in my new data, only the data with a difference.
Tried:
I tried to mark not only ID columns, but all the columns in the anti-left join setup, but it does not seem to work at all.
I'm quite new to using pivot tables and data models, so I don't even know if what I want to do is possible. I have a pivot table (PivotTable1) and its source (Table 25) and I would like to add a hundred or so measures which are listed in the TableCombinations.
For example, I entered the two first measure in orange, but they are not linked to TableCombination and entering them all one by one would be quite long. Each measure is for a distinct Sum wfn column that sums all other rows multiplied by a coefficient. The TableCombinations table simply states the coefficient to be used for each column. For the first three rows, these are my measure formulas :
sum wf1=1.4*Table25[Sum of wD]+0*Table25[Sum of wL]+0*Table25[Sum of wS]+0*Table25[Sum of wW]+0*Table25[Sum of wWSOUL]
sum wf2=1.25*Table25[Sum of wD]+1.5*Table25[Sum of wL]+1*Table25[Sum of wS]+0*Table25[Sum of wW]+0*Table25[Sum of wWSOUL]
sum wf3=1.25*Table25[Sum of wD]+1.5*Table25[Sum of wL]+0*Table25[Sum of wS]+0.4*Table25[Sum of wW]+0*Table25[Sum of wWSOUL]
...
Two questions :
Is there a way to link the tables so that any change made to TableCombination would then be updated in the pivot table measures?
Is there a way to generate all the of the measures without typing them in one by one.
You should be able to use just one DAX measure to do this, using the CROSSJOIN function.
Don't set up a relationship between the Tables, and drag # to the Columns area of the PivotTable. Then create this Measure:
=SUMx(CROSSJOIN(Table1,Table2),Table1[wD]*Table2[wD]+Table1[wL]*Table2[wL]+Table1[wS]*Table2[wS]+Table1[wW]*Table2[wW]+Table1[wWSOUL]*Table2[wWSOUL])
That should give you the exact answer you need.
Here's how it looks using some sample data:
...and here's the sample data I'm using:
You could certainly use VBA to add measures, and to update them when the Table changes. I might have a crack at writing up an answer along that approach shortly. But here's another way to achieve what you want.
I've previously written some code to slave a Table to a PivotTable, so that any change in the PivotTable's dimensions or placement will be reflected in the shadowing Table's dimensions and placement. This effectively gives us a way to add a calculated field to a PivotTable that can refer to something outside of that PivotTable. If the PivotTable grows, the Calculated Table will grow. If the PivotTable shrinks, the Calculated Table will shrink, and any redundant formulas in it will be deleted.
You can easily use this approach to perform your calculations in a 2nd table alongside your PivotTable, and each column x in that 2nd table could easily reference row x in your 'parameters' table.
See Select Newest Record and Create New Table of Unique Values in Excel
I have imported a bunch of data using PowerQuery into a single table and am building dashboard reporting. I have been using Pivot Tables to build my reports, which has worked fine so far.
However, I've come to a point though where I want to simply show the count of multiple columns (calculated fields). So I have column A,B,C,D, and want to show the count each of each. But, I don't want them to be subsets (or children) of one another, and I don't want to build a bunch of Pivot Tables (file is already getting pretty big, and I want them row by row for easy viewing). Any suggestions?
Also, I am using the "Columns" field already to show the counts by certain weeks (week one, week two, etc.).
Thanks,
-A
Thanks for the follow-up. Within PowerPivot, I have four calculated fields/columns that are True/False for each column. I want to know how many times each of those columns were marked "True" (I can rename the "True" field to distinguish between which field it's referencing). But I don't want four pivot tables. Right now I can only think of making four pivot tables, filtering out the false for each one, then hiding the rows so the "True" values stack on top of one another. If I put all the four fields together in the same Pivot, the three below the first become subsets. I don't want subsets, just occurrence counts.
Does this help provide clarification?
If I understand you correctly, here's an example that shows what you're trying to achieve:
The table on the left has the TRUE/FALSE entries and the PivotTable on the right just shows the number of true items in each of those columns.
The format of the DAX measure to produce these count totals is:
[Count of A]=CALCULATE(COUNTROWS(PetFacts),PetFacts[A]=TRUE)
(Apologies to any parrot owners who may get upset that I have inadvertently re-classified their pets as cold-blooded!)
I am using Excel Powerpivot with data in two separate tables. Table 1 has ITEM level data with a BRAND characteristic. Table 2 has BRAND level data. The two tables are linked by the BRAND key. The measure I am using is non addable. i.e. the sum of the ITEMS does not equal the BRAND. The pivot is set up with ITEMS nested under BRANDS in the rows and the Measure in the column.
Excel assumes that I want to summarize ITEM to a BRAND level by applying SUM, MAX, MIN, AVG, etc. I would like to return the actual values from the appropriate ITEM or BRAND level table and not apply any calculations to the values. Is this possible?
If what you are effectively trying to do is produce a different result for the Brand rows (e.g. blank()) then the answer is to write a further measure that does a logic check to determine whether or not the row in question is an ITEM or a BRAND.
= IF (HASONEVALUE(table1[Item]), [Measure], Blank() )
Bear in mind that this will work for your current pivot but may not be adaptable to all pivots.
This assumes that you have explicitly created a measure called [Measure] and you are not just dragging the numeric column into the values box. If not you can create the initial [Measure] something like this:
= Sum(table1[Value])
Where Value is the column you want to use in the measure. Although you have used a sum, if it relates to a single item which has a single row in the table it will give the desired result.