I've got two tables Fauna_Afetada (animals affected) e Municipios (all cities of the country). A fauna afetada tem a sigla_uf (state initials which the city belongs to) e nome_municipio (name of the city), as well as the Municipios table.
I'd like to create a measure counting the number of deaths (Situação_Int = 0 in table Fauna_Afetada, specify that the animal died) by city (table Municipios). The way to join these tables is by using two columns (the sigla_uf and nome_municipio), because each Municipio in Fauna_Afetada might appear several times. How do I do that?
I'd like to create a measure with the name of the city with the highest number of deaths.
Anyone could help?
The data model is below.
It seems it is a data modeling issue in the first galce,
The model is full of bidirectional relationships that lead to not expect calculations behaviors.
Can you share the file or part of it
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 trying to replace blanks with zero in a matrix visual, but the traditional method of adding +0 is causing another problem. I have the case described below in detail. Thank you so much for any help anyone may be able to offer!
I have a (fictitious) company with 60 employees located in 5 regions (Midwest, Northeast, Pacific, and Southwest). Each employee holds an occupational type (such as chemist, auditor, geologist, truck driver, etc.). Across the entire company, there are 18 different occupational types.
Additionally, each region considers some of the occupations as critical and others as non-critical and the critical vs. non-critical occupation types vary by region. If the occupation is critical for a particular region, the occupational title (e.g. chemist) should appear in the visual and if the occupation is non-critical, the generic title ‘Non-Critical’ should appear instead of the occupational title.
To accomplish this, my PowerBI model has two related tables – employee list (dimension table/many) and occupation list (fact table/one). Each employee on the employee list has a match code that is related to the match code on the occupation list to determine if the occupation is critical or non-critical for that employee’s region. If the occupation is critical, the related field (that will be used on the row field of the visual will be the occupational title. If non-critical, the related field will be the generic title ‘Non-Critical’.
Here’s an example of three records from the employee list fact table:
Image A
And here’s an example of some records from the occupational list dimension table:
Image B
The purpose of the visual is to show the count of employees onboard at two points in time (called FY20 and FY21) by occupational type with a slicer to filter by region.
The employee count is produced using the measure =COUNTROWS(Employee List)
Everything works great at this point. Here is an example of the visual filtered to Midwest, which correctly shows the Midwest Region’s 10 critical occupations broken out by occupational title and the employee counts. (non-critical count also correctly shown)
Image C
And as a second example, here is the view filtered to the Pacific Region showing the Pacific’s 3 critical occupations (non-critical also correctly show):
Image D
My only goal with this visual is to display zero instead of a blank for those cases where there are no employees. When I modify the measure to:
=COUNTROWS(Employee List) + 0
I get the following result (filtering to Midwest for example):
Image E
So, the result is that the formula did replace the blanks with zeros, but now all the entire company’s 18 critical occupations are displayed and not just the 10 for the Midwest. The counts are still correct for the Midwest, but I only want to show the Midwest occupations as they were appearing correctly before I added +0 to the measure. If I try to simply filter them out at the visual level, then they will stay filtered when I switch region where they should be unfiltered.
It seems the behavior is that a blank being replaced by a value (0) means that when there is a combination for which there is no data (such as Midwest/Chemist), the visual will still show 0 as a result for that combination.
I’m looking for anything I can do to replace blanks with zero and not displace the occupation types that don’t apply for the region. I would appreciate any assistance as I’ve been thinking about this for hours and have hit a wall.
Thank you!
I suggest a measure on the following form, written verbosely:
# Employees w/ zeroes =
VAR _employees = [# Employees]
VAR _totalEmployees = CALCULATE ( [# Employees] , REMOVEFILTERS ( 'Employee List'[Year] ) )
RETURN
_employees + IF ( ISNUMBER ( _totalEmployees ) , 0 )
This will first check that the occupation type has employees for the selected filter context, and only tack on a zero if so. The column specified in REMOVEFILTERS() must correspond to whatever you are using in your visualization - it is used to modify the filter context.
It looks like a fairly simple (if possibly temporary) solution is available for this problem by using conditional/advanced filtering on the visual. I set the advanced filter to show when the value is not 0 and this seemed to take care of it. Thank you for the DAX code and I will explore those options as well.
Thanks again!
I need to change the inventory category for a couple of account numbers and only for a couple of companies. The inventory category for these accounts are mapped based on the account number but need to be changed specifically just for two companies. I've tried to filter by the company number and then find/replace, which worked fine, but then I can't unfilter to bring back the rest of the companies. I can't change the category for just those account numbers because it is only different for just those two companies.
Lisa, Here's perhaps a simpler approach than where your current way is taking you.
If I begin with this table:
Then I add a column (Add Column -> Custom Column) with the following:
The formula uses an if statement to determine whether each row has a specific Account (Acct. 4) AND Company (Co. 8). If so, then 99 is returned as a new category value for that row of the new column. If not, then the original Inventory Category is returned as a value for that row of the new column. (Obviously, you would edit this formula accordingly, to support your account, company, and new inventory category values.)
Here's the result:
Then I could delete the original Inventory Category column and rename the remaining New Inventory Category column to Inventory Category.
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 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.