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);
Related
I'm having trouble unmerging cells on the report.
3 Suppliers for the query
I have a SQL query that shows 3 instances of a supplier (left joined to contact) as shown below. However, when running the report for the query the 3 instance of the supplier is merged into one. This is not desirable in my case because when exporting the report to excel, I'd like to be able to sort columns based on other properties, however, this would not be possible due the the merging of the rows. How can I get results to show individually?
Cells are Merged on the report
Within the properties of each Row Group you can specify which columns to group on. You generally don't need a separate group for each field, but that's OK. In your last group, the one called "(Details)", if it is not grouped by anything, it will show one row per line of results from the query. So take a look at what it's grouped by. As long as the rows are in your dataset, the report will group or show them based on how you configure the grouping here. Grouping on nothing means it will show all rows.
Another tip is to align the end of your header textbox with the line of one of your columns. This will prevent it from creating an extra column in Excel for the "City" field.
Your report does not need all of those groupings - the SSRS grouping is not like SQL. You should only group when you want to aggregate data on that field. Normally you might have a company with its address in various fields in one group but you only need to group once on the Company Name or (preferably) ID - not on each field and not a separate group for each. You could then show details of various invoices in other columns that aren't grouped.
But since you want to display the company data on each row, you would not want ANY grouping on the company.
To fix your issues, remove all the groupings (but not the rows) and just leave the detail group (which doesn't have a Grouping).
You can check out MS Docs: Understanding Groups for a better explanation.
I have 3 different tables with the customer name and there are duplicates as well as unique customers in the 3 tables and I need to get the unique for all 3 to be used as the rows criteria in the pivot table.
I've been finding a way to do so but I cannot seem to figure it out.
The measure I tried is: Customers:=DISTINCT(UNION(VALUES('Test1 - Invoice'[CustomerID]),VALUES('Test2 - Invoice'[CustomerID]),VALUES('Test3 - Invoice'[CustomerID])))
But I get the error below:
Semantic Error: Too many arguments were passed to the VALUES function.
The maximum argument count for the function is 1.
I am quite new to DAX and have no idea how to do it. I believe it is because measures are only for values if i'm not mistaken
I read that to place on other fields of the pivot table, it has to be a calculated column although I do not see how it can be a calculated column as well.
One approach is to create a separate table to store the Customer Name dimension - then create relationships between that Customer dimension table and your 3 fact tables. This would be most effective at the Power Query stage, but can be done using DAX.
An alternative is to merge your 3 fact tables - again, this would be best done with Power Query, but is possible with DAX.
Brief:
I have a large dataset, inside of which are Individual customer orders by item and quantity. What I'm trying to do is get excel to tell me which order numbers contain exact matches (in terms of items and quantities) to each other. Ideally, I'd like to have a tolerance of say 80% accuracy which I can flex to purpose but I'll take anything to get me off the ground.
Existing Solution:
At the moment, I've used concatenation to pair item with quantity, pivoted and then put the order references as column and concat as rows with quantity as data (sorted by quantity desc) and I'm visually scrolling across/down to find matches and then manually stripping in my main data where necessary. I have about 2,500 columns to check so was hoping I could find a more suitable solution with excel doing the legwork on identification.
Index/matching works at cross referencing a match for the concatenation but of course, the order numbers (which are unique) are different so its not giving me matches ACROSS orders.
Fingers crossed!
EDIT:
Data set with outcomes
As you can see, the bottom order reference has no correlation to the orders above it so is not listed as a match to the orders above but 3 are identical and 1 has a slightly different item but MOSTLY matches.
Due to performance issues I need to remove a few distinct counts on my DAX. However, I have a particular scenario and I can't figure out how to do it.
As example, let's say one or more restaurants can be hired at one or more feasts and prepare one or more menus (see data below).
I want a PowerPivot table that shows in how many feasts each restaurant was present (see table below). I achieved this by using distinctcount.
Why not precalculating this on Power Query? The real data I have is a bit more complex (more ID columns) and in order to be able to pivot the data I would have to calculate thousands of possible combinations.
I tried adding to my model a Feast dimensional table (on the example this would only be 1 column of 2 rows). I was hoping to use that relationship to be able to make a straight count, but I haven't been able to come up with the right DAX to do so.
You could use COUNTROWS() combined with VALUES().
Specifically, COUNTROWS() will give you the count of rows in a table. That means COUNTROWS is expecting a table is input. Here's the magic part: VALUES() will return a table as results, and the table it returns are the distinct values in the table/column that you provide as the argument for VALUES().
I'm not sure if I'm explaining it well, so for the sample data you provided, the measure would look like this (assuming the table is named Table1):
Unique Feasts:=COUNTROWS(VALUES('Table1'[Feast Id]))
You can then create a pivot table from Powerpivot, and drag Restaurant Id into Rows, and drag the measure above into Values. Same result as DISTINCTCOUNT, but with less performance overhead (I think).
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!)