In my model I have table AssignedToUser that don't contain any NULL values.
Table TotalCounts contains number of tasks for each User.
Those two table joined on UserGUID, and table TotalCounts contains NULL value for UserGUID.
When I drop everything in one table there is NULL value for AssignedToUser.
How can I substitute value NULL for AssignedToUser for "POOL".
Under EditQuery I tried to Create additional column
if [AssignedToUser] = null then "POOL" else [AssignedToUser]
But that didnt help.
UPDATE:
Thanks Alexis.
I have created FullAssignedToUsers table, but when I try to make a relationship with TotalCounts on UserGUID - it doesnt like it.
Data in new a table looks like this:
UPDATE:
File .ipbx can be accessed here:
https://www.dropbox.com/s/95frggpaq6tce7q/User%20Open%20Closed%20Tasks%20Experiment.pbix?dl=0
I believe the problem here is that your join has UserGUID values that are not in your AssignedToUsers table.
To correct this, one possibility is to replace your AssignedToUsers table with one that contains all the UserGUID values from the TotalCounts table.
FullAssignedToUsers =
ADDCOLUMNS(VALUES(TotalCounts[UserGUID]),
"AssignedToUser",
LOOKUPVALUE(AssignedToUsers[AssignedToUser],
AssignedToUsers[UserGUID], TotalCounts[UserGUID]))
The should get you the full outer join. You can then create the custom column like you described in the table and use that column in your visual.
You'll probably want to break the relationships with the original AssignedToUsers table and create relationships with the new one instead.
If you don't want to take that extra step, you can do an ISBLANK inside your new table formula.
FullAssignedToUsers =
ADDCOLUMNS(VALUES(TotalCounts[UserGUID]),
"AssignedToUser",
IF(
ISBLANK(
LOOKUPVALUE(AssignedToUsers[AssignedToUser],
AssignedToUsers[UserGUID], TotalCounts[UserGUID])),
"POOL",
LOOKUPVALUE(AssignedToUsers[AssignedToUser],
AssignedToUsers[UserGUID], TotalCounts[UserGUID])))
Note: This is equivalent to doing a right outer join merge on the AssignedToUsers table in the query editor and then replacing the nulls with "POOL". I'd actually recommend approaching it that way instead.
Another way to approach it is to pull the AssignedToUser column over to the TotalCounts table in a custom column and use that column in your visual instead.
AssignedToUsers =
IF(ISBLANK(RELATED(AssignedToUsers[AssignedToUser])),
"POOL",
RELATED(AssignedToUsers[AssignedToUser]))
This is equivalent to doing a left outer join merge on the TotalCounts table in the query editor, expanding the AssignedToUser column, then replacing nulls with "POOL" in that column.
In Dax missing values are Blank() not null. Try this:
=IF(
ISBLANK(AssignedToUsers[AssignedToUser]),
"Pool",
AssignedToUsers[AssignedToUser]
)
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 stuck while dynamically forming a new column based certain WHERE clause from another Table in PowerBi. To give more details, let's say I have a table with item numbers associated with a Customer Name. In another table, I have to add a new column, which will dynamically add the item numbers associated with a particular customer and append as a query parameter to a base url.
So, my first table looks like this:
The second table that I want is this:
The query parameter value in the URL, has to be dynamically based on a SELECT query with a WHERE clause and pick up the ItemNumbers using the Customer field which is common between both. So, how can this be done in PowerBi? Any help would be really appreciated :)
I have one table in my model "TableRol" if I want to summarize my Date as the string I can use CONCATENATEX;
URL = CONCATENATE(CONCATENATE("http:\\mysite.com\parametersHere\getitem?='",CONCATENATEX(VALUES('TableRol'[Date]), 'TableRol'[Date],";")),"'")
I am using DAX Studio and I would like to add a filter to the table field in SELECTCOLUMNS so that it using two different table depending on the filter's expression result.
In other words what I would like to do is similar to the following :
DEFINE
VAR cond_talble =
SELECTCOLUMNS(
IF(#param1="1",TABLE1,TABLE2),
"column1",[column1],
"column2",[column2]
)
Thank you kindly
there is a work around for this problem but might not be a good one for everyone, and it's to add a column in both tables containing a boolean that is set to true for table1 and 0 for table2 and then (if your trables contains the same columns like me) get a table that is the fruit of the union of both tables and add an if condition on a filter so that you filter with the added column
I have my data source something like below.
I need to show output in the report as below.
I tried using the unpivot column and getting something like this, how to count the occurrence value of each Business value.
Plot following mesure against Value column (from your unpivot table):
Business Occurance = COUNTROWS('your unpivot table')
We have to remove the Attribute column as the next step to Unpivot. Then my table should be looks like this.
Now create a new table with following Dax function, let's say the current table as Business Data (Your Unpivot table)
Occurrence Table = DISTINCT('Business Data')
Now end result table should look like this,
You can make use of this table for your table visual in the report.
Note: You can add n-number of rows and column into your source table and this logic will do magic to get the correct result.
I have marked two places first marked place you have to add Value column then click second marked place one dropdown value is open click count menu
I have the following query in M:
= Table.Combine({
Table.Distinct(Table.SelectColumns(Tab1,{"item"})),
Table.Distinct(Table.SelectColumns(Tab2,{"Column1"}))
})
Is it possible to get it working without prior changing column names?
I want to get something similar to SQL syntax:
select item from Tab1 union all
select Column1 from Tab2
If you need just one column from each table then you may use this code:
= Table.FromList(List.Distinct(Tab1[item])
& List.Distinct(Tab2[Column1]))
If you use M (like in your example or the append query option) the columns names must be the same otherwise it wont work.
But it works in DAX with the command
=UNION(Table1; Table2)
https://learn.microsoft.com/en-us/dax/union-function-dax
It's not possible in Power Query M. Table.Combine make an union with columns that match. If you want to keep all in the same step you can add the change names step instead of tap2 like you did with Table.SelectColumns.
This comparison of matching names is to union in a correct way.
Hope you can manage in the same step if that's what you want.