Please find my expected result below
But I am getting result as below
where I have choosed Order Id from orders table and Product Id from Order Items tables and I have used below measure
order_to_orderitem = CALCULATE(SUM('Order Items'[Unit Price]),USERELATIONSHIP(orders[key12],'Order Items'[key12]))
Note: key12 is merged column of Order Id and Product Id in both orders and Order Items table
I have a datamodel as shown below
I have given a relationship as shown below
It has been created as shown below where From Table is Order Items and To Table is orders whereas while creating I have given orders as From Table and Order Items as To Table
Orders table:
Order Items table:
If you want to return all rows from the orders table and the matching rows from the Order Items table you can just create a new table with LEFT JOIN.
NewTable = NATURALLEFTOUTERJOIN ('orders', 'Order Items' )
(the function works for the tables that don't have the same column names). To get this table check "Show items with no data" for the first column.
Related
I am struglling to getting top 25 unique customers when filtering the table using Alert_Id. Basically, I have these columns in table which you can find below. The goal is to show top 25 unique customers based on highest value. The Item can be repeated but name has to be unique. I have tried so many different things but nothing seems to be working as expected because of Multiple customers have used multiple items and hence I am getting duplicate rows. The table has to be dymic because whenever user filters the table using Alert_id it should return those top unique customers that associated with Alert_id(Alert_id is a single selection). So whenever user select their Alert_id that table should display their data. I have tried below measure,
First I created calculated column to break the tie for price because many Item shares the same price:
max price = Table[PRICE] + RAND()
Then I created another column to get max price for the customer name:
MAX column for table = CALCULATE(MAX('Table'[max price]), ALLEXCEPT(Table, Table[CUSTOMER_NAME]))
Then I created calculated table using these columns:
SELECTCOLUMNS(
FILTER(Table, Table[max price]=Table[MAX column for table]), "Name" ,Table[CUSTOMER_NAME],"Item",Table[ITEM], "PRICE",Table[MAX column for table], "Alert_ID", Table[ID], "DATE", Table[REQ_DATE], "ITEM_COUNT", Table[PK])
But, this is giving me all unique customers with the MAX value and I am getting blank table when I filter with Alert_ID even thought it has data but the customers are not with the MAX value. Basically, It's not dynamically capturing max values for each customer_name when filter is applied. And, I if there are multiple rows with same customer name which can have same exact value then I would choose any random row without considering which ITEM it is. I just want top 25 unique customers for one Alert_ID.
Here is the sample data,
Here is expected output if I select Alert_ID = 123 from filter and it can be different when I select different Alert_ID.
FYI: I have tried topn with max price and even with RANKX but no luck. I always endedup having multiple customers.
Any help or lead will be highly appreciated!
I was able to figure out how to get unique values. Here is the solution that worked for me.
First, I created calculated column with my price column and RAND function to break the ties:
sum value = Table[PRICE] + RAND()
Then, I have created one measure that calculates the rank:
rank with table = RANKX(CALCULATETABLE(VALUES('Table'[ITEM]), ALLSELECTED('Table'[ITEM])),CALCULATE(SUM(Table[sum value])), ,DESC, Dense )
Then I applied the filter on NAME column to get top 25 based on sum value calculated column. Also, dragged my measure on filters pane and applied the filter where Rank with table = 1.
That's how I got unique names with highest valued ITEM.
I'm trying to display all of the distinct values within this table (there are many other columns in this table) and show how many rows each distinct value shows in.
I have tried to use group by but this does not work. It needs to be filterable by country from another column but i can do that by page filter.
I am trying to show what the top 5 associations are in terms of appearance.
enter image description here
Put the 10 columns in a Table visual. Then create this measure and add it too. Then sort descending on Distinct.
Distinct = COUNTROWS('Your Table Name')
To see only the Top 5, go to the Filter pane, and pick the first column and set the Filter type to Top N, and then Top 5 by the Distinct measure.
I have a two tables are Data and Report.
Data Table:
In Data table contain two columns are item and supplier code. The item column contain text & number and supplier code column contain as a text.
Summary if CHE record in DATA:
if any of the items have CHE records in the data table, get the values if only one CHE record, and if there is more than one CHE record then compare each column (length and Supplier) and if any of the columns has different value then return MIXED otherwise return Actual value
Summary if no CHE record
if only one none CHE record in the data table then returns the actual values but if more than one none CHE records in the data table for that time, compare the values of each column, and if any column value is different then return MIXED otherwise value.
Summary: no record found in DATA table:
Return N/A
Logic
My first priority is “CHE” and second priority is “KKR” in order get the length and supplier from Data table into the Report Table.
Scenario 1;
If two different supplier {“CHE” & “KKR”} for the same item in data table then I would like to get the data (length and supplier) against “CHE” in report table according to the item. (Please refer the item 123 and 5678 in both tables ”Data” and “Report”)
Scenario 2;
If supplier not repeated according to the item and the item contain either any of these supplier {“CHE” or “KKR”} in data table, in these scenario pull the data (length and supplier) against the item in report table based on the availability in data table. (Please refer the item 5555, 6666, 9876 and 2345 in both tables ”Data” and “Report”)
Scenario 3;
If supplier not repeated according to the item and the item contain either any of these supplier {“CHE” or “KKR”} but the length & supplier are different in data table in these scenario return as a text “Mixed” were belongs to (column; either length or supplier or both) in report table according to the item. (Please refer the item 123456 and 567 in both tables ”Data” and “Report”)
Scenario 4;
If two different supplier {“CHE” & “KKR”} for the same item in data table but the length and supplier are variable in data table in this scenario return as a text “Mixed” were belongs to (column; either length or supplier or both) in report table according to the item. (Please refer the item 116 in both tables ”Data” and “Report”)
Scenario 5;
If records not found in date table the return as “NA” in report table according to the item. (Please refer the items in report in table 4444, 12 and 10)
I am looking for calculated column option in order to achieve my result.
Current logic
I created New table for order for supplier priority
I created two helper column for running count and unique count
Finally I am applying the following calculated column in report table
LENGTH = LOOKUPVALUE(
DATA[Length],
DATA[ITEM],REPORT[ITEM],
DATA[UNIQUE_COUNT],1,"NA")
it almost working fine but it will give a wrong result (item 123456 and 567) were my desired is "Mixed" in report table. I highlighted in red and green snapshot for your reference.
My final result look like this
Herewith attached the PowerBi file for your reference https://www.dropbox.com/s/p81uy12tfh1htwu/AUOM1.pbix?dl=0
Can you please advise.
It's not entirely clear what you're trying to do but I think this measure pattern may help you:
IF (
DISTINCTCOUNT ( DATA[SUPPLIER] ) > 1,
"MIXED",
SELECTEDVALUE ( DATA[SUPPLIER], "NA" )
)
For more than one value, you get MIXED. For one value, you get that single value. For no values, you get NA.
I have two tables. First one represents sales values of company by department, product ID and month. Second table contains sales target by department and month. I want to add a column to second table. It should shows sum of values from table 1 with grouping department and month.
For Example:
For 310101 in Februray sum of values is 110. So, the first row of table 2 should be 110.
Can you please help me with this DAX function?
Create a calculated column in both tables which will represent an unique ID (Eg: ID = Table1[Dpt ID] & Table1[Month]) and join the both tables by this ID field to create a relationship between these 2 tables.
Now, select all the columns from Table 2 and also select Value column from Table 1. You should get the sum by department.
I would like to create a table to compare Month To Date (MTD) Vs YTD Sales data metrics
I am using two queries:
1st query = YTD Sales data (Two fields: Sales and Quotes)
2nd query = MTD Sales Data (Two Fields: Sales and Quotes).
Each query has the same field names, just different data
I would like to output a table like the following
How to I create the above table? At the moment I can only create a table like the following:
The latter 1x4 table only works if I appropriately name the fields. But definitely isn’t what I want, because with enough fields, the table could go on forever.
Any help would be appreciated
In the query editor, create a label column for each table that labels what they are and then append the two tables together so you get something like this:
Then you can create a matrix visual with the Label column in the Columns field and the Sales and Quantity columns in the Values area.
Make sure you've switched "Show on Rows" to "On" under the Format > Values section of the Visualizations pane.