I am trying to create a column in PowerBI that counts how times a customer name occurs in a list.
I may be going in the wrong direction, but what I have so far is;
My SQL query returns a table of customer site visits (Query1), from which I have created a new table (Unique) and column (Customer) that lists the distinct names (cust_company_descr) from Query1;
Unique = DISTINCT(Query1[cust_company_descr])
What I need is a new column in the Unique table (Count) that will give me a count of how many times each customer name in the Query1 table appears.
If I were working in Excel, the solution would be to generate a list of unique values and do a COUNTIF, but I can't find a way to replicate this.
I have seen a few solutions that involve this sort of thing;
CountValues =
CALCULATE ( COUNTROWS ( TableName ); TableName[ColumnName] = " This Value " )
The issue I have with this is the Unique table contains over 300 unique entries, so I can't make this work.
Example (The Count column is what I'm trying to create)
Query 1
cust_company_descr
Company A
Company B
Company A
Company C
Company B
Company A
Unique
Company_____Count
Company A_____3
Company B_____2
Company C_____1
Any help is gratefully received.
Related
In Power BI, I need to create a VLOOKUP alternative. From the research I've done, this is done with the LOOKUPVALUE function, but the problem is that function needs one specific SEARCH ITEM, which isn't super helpful in a VLOOKUP type scenario where you have a full column of values to search for?
Given these two tables, connected through the user_name and first_name columns:
...what's the formula needed in order to create a new column in the Employee_Table called phone_call_group by using the names as the search items in order to return the group they belong to? So how can I end up with this?
(Forget that the entries in each table are already sorted, needs to be dynamic). Will be back tomorrow to review solutions.
In Power BI you have relations between tables instead of Excel's VLOOKUP function.
In your case you just have to create a one-to-one relation between
'Phone_Call_Table'[user_name] and 'Employee_Table'['first_name]'
With that you can add a Calculated Column to your 'Employee_Table' using the following expression:
phone_call_group = RELATED(Phone_Call_Table[group])
and in the data view the table will look like this:
LOOKUPVALUE() is just a workaround if for other reasons you can't establish that relation. What you've been missing so far is that in a Calculated Column there is a Row Context which gives you exactly one value per row for the <search_value> (this is different from Measures):
alt_phone_call_group =
LOOKUPVALUE(
Phone_Call_Table[group],
Phone_Call_Table[user_name],
Employee_Table[first_name]
)
I am currently using the Power BI Power Query Editor writing queries using the Power Query M formula language. I currently have two tables named employee and business. Each row of the employee table has a business_id that connects to a row of the business table. I want to run a Table.SelectRows function to include only the rows where employee.business_id = business.id.
This is what I have so far:
let
Source = MySQL.Database(<DATABASE>, "business_database", [ReturnSingleDatabase=true, CreateNavigationProperties=false]),
business_database_employee_all = Source{[Schema="business_database",Item="employee"]}[Data],
employee_included = . . . Return all rows from employee where employee.business_id = business.id . . .
in
employee_included
Any sort of help with this one would be appreciated! I'm pretty set on using Table.SelectRows but I'm down to utilize better functions if it's recommended!
It sounds like you want to filter the employee table so that it only shows rows where there is a match in the business_id field to the business table
the best way is to merge the business table into the employee table, matching the business_id field, with inner join
#"Merged Queries" = Table.NestedJoin(#"PriorStepNameinEmployeeTable",{"business_id"},business,{"business_id"},"business",JoinKind.Inner)
another way
#"Select" = Table.SelectRows(#"PriorStepNameinEmployeeTable", each Table.Contains(business_table,_,{"business_id"}))
I trying to understand Treatas DAX function. There are two tables Assets and Ticket. Ticket table has parent and child relationship. For each value of Asset[AssetKey], I want to calculate count of childs in Ticket table. There is two relationships between these tables. One active and one inactive.
The Problem: When I use Treatas function complete measure Number of Child is retured blank. I used the formula -
Number of Child = CALCULATE(COUNT(Tickets[AssetKey]),TREATAS(SUMMARIZE(Asset,Asset[AssetKey]),Tickets[ParentId]))
To replicate the scenario follow the below steps:
Step 1: create table Asset:
Asset = DATATABLE("AssetKey",INTEGER,"Name",STRING,{{1,"Australia"},
{2,"Belgium"},
{3,"Canada"},
{4,"Denmark"},
{5,"England"}})
Create table Ticket
Tickets = DATATABLE("AssetKey",INTEGER,"ParentId",INTEGER,"TicketKey",INTEGER,{{3,1,1},
{1,Blank(),1},
{3,1,3},
{2,Blank(),4},
{4,2,5},
{3,1,6},
{2,Blank(),7},
{4,2,8},
{1,Blank(),9},
{5,2,10}})
Step2 : create relationship between Assets and Ticket table(one to many) on column AssetKey.
Step3: Now create the below Measures -
Number Of Tickets = COUNT(Tickets[TicketKey])
Number of Child = CALCULATE(COUNT(Tickets[AssetKey]),TREATAS(SUMMARIZE(Asset,Asset[AssetKey]),Tickets[ParentId]))
Now the problem: Why the Number of Child column comes out to be blank.
The expected output is :
Your problem is not the TREATAS but the SUMMARIZE. TREATAS expects table input so you summarized.
Try the following:
summarizedAsset = SUMMARIZE(Asset,Asset[AssetKey])
This returns you 1,2,3,4,5. Logic because this is what you asked it to do. Now TREATAS is going to do the same on the table Ticket. So it returns a table with one column values "empty",1,2. Exactly what we can expect.
Next thing you do a COUNT on AssetKey, this table just created does not have this column so it returns empty.
What you are looking for is a column what is calculating the children:
Number of Child =
var Akey = Asset[AssetKey]
return CALCULATE(COUNT(Tickets[ParentId]), filter(Tickets, Akey = Tickets[ParentId]))
This returns exactly what you where looking for.
PS: 10 points, you did an excellent job on the question asking, easy for others to reproduce. You work as a pro!!
Basically, I’d like to get one entity totals, but calculated for another (but still related/associated!) entity. Relation type between these entities is many-to-many.
Just to be less abstract, let’s take Trips and Shipments as mentioned entities and Shipments’ weight as a total to be calculated.
Calculating weight totals just per each trip is pretty easy task. Here is a table of Shipments weights:
We place them into some amounts of trucks/trips and get following weight totals per trip:
But when I try to show SUM of Trip weight totals (figures from 2nd table) per each related Shipment (Column from 1st table), it becomes much harder than I expect.
It should look like:
And I can’t get such table within Power BI.
Data model for your reference:
Seems like SUMMARIZE function is almost fit, but it doesn’t allow me to use a column from another table than initialized in the function:
Additional restrictions:
Selections made by user (clicks on cells etc.) should not affect calculation anyhow.
The figures should be able to be used in further calculations, using them as a basis.
Can anyone advise a solution? Or at least proper DAX references to consider? I thought I could find a quick answer in DAX reference guide on my own. However I failed to find a quick answer.
Version 1
Try the following DAX function as a calculated column inside of your shipments table:
TripWeight =
VAR tripID =
RELATED ( Trips[TripID] )
RETURN
CALCULATE (
SUM ( Shipments[ShipmentTaxWeightKG] );
FILTER ( Shipments; RELATED ( InkTable[TripID] ) = tripID )
)
The first expression var tripID is storing the TripID of the current row and the CALCULATE function gets the SUM of all of the weight for all the shipments that belong to the current trip.
Version 2
You can also create a calculated table using the following DAX and create a relationship between the newly created table and your Trips table and simply display the weight in this table:
TripWeight =
GROUPBY (
Shipments;
Trips[TripID];
"Total Weight KG"; SUMX ( CURRENTGROUP (); Shipments[ShipmentTaxWeightKG] )
)
Version 3
Version 1 and 2 are only working if the relationship between lnkTrip and Shipment is a One-to-One relationship. If it is a many-to-one relationship, the following calculated column can be created inside of the Trips table:
ShipmentTaxWeightKG by Trip = SUMX(RELATEDTABLE(Shipments); Shipments[ShipmentTaxWeightKG])
hope this helps.
I have a customers table with ID's and some datetime columns. But those ID's have duplicates and i just want to Analyse distinct ID values.
I tried using groupby but this makes the process very slow.
Due to data sensitivity can't share it.
Any suggestions would be helpful.
I'd suggest using ROW_NUMBER() This lets you rank the rows by chosen columns and you can then pick out the first result.
Given you've shared no data or table and column names here's an example based on the Adventureworks database. The technique will be the same, you partition by whatever makes the group of rows you want to deduplicate unique (ProductKey below) and order in a way that makes the version you want to keep first (Children, birthdate and customerkey in my example).
USE AdventureWorksDW2017;
WITH CustomersOrdered AS
(
SELECT S.ProductKey, C.CustomerKey, C.TotalChildren, C.BirthDate
, ROW_NUMBER() OVER (
PARTITION BY S.ProductKey
ORDER BY C.TotalChildren DESC, C.BirthDate DESC, C.CustomerKey ASC
) AS CustomerSequence
FROM dbo.FactInternetSales AS S
INNER JOIN dbo.DimCustomer AS C
ON S.CustomerKey = C.CustomerKey
)
SELECT ProductKey, CustomerKey
FROM CustomersOrdered
WHERE CustomerSequence = 1
ORDER BY ProductKey, CustomerKey;
you can also just sort the columns with date column an than click on id column and delete duplicates...