I am trying to show "Some Column Name" against "Total Amount" in Power BI.
I am expecting the following results:
But instead it's showing me the following results:
The current data type is "fixed decimal number" I tried changing it to "Decimal number" or "Whole Number" but it did not work.
Any suggestions?
The reason why you have a single repeating value is because you did not create a relationship in powerbi model. If for example you have two tables Sales and Staff and you want to sum all staffs sales.
if no relationship created between table in power BI
The output will look like this
However when a relationship is created between the tables
The output will be correct
This is almost certainly the result of a many-to-many relationship in Power BI. In Power BI if there are connections between two (or more) tables that evaluates to a many-to-many relationship then Power BI is unable to make a distinction between any two rows and instead will project the same value for any given row placed in a visual.
Here's an easy way to visualize this:
Table 1 Table 2
Product | ID AmountSold | ID
Widget 1 10 1
Smidget 1 20 2
Gidget 2 5 1
When you join these Power BI can't tell the difference in Sales between Widget and Smidget because they have the same ID. As far as Power BI knows Widget could have sold 0 and Smidget sold a total 15, or Widget sold a total 5 and Smidget sold a total 10, etc.
As a result of this many-to-many relationship Power BI panics and evaluates them to be the same result because it can't determine what is right. Widget and Smidget both sold a total of 15:
Visual
Product | AmountSold
Widget 15
Smidget 15
Gidget 20
You're experiencing the same issue in your data model, although it is undoubtedly a much more complex relationship than the one I just laid out. You need to go back and determine what table(s) are experiencing a many-to-many relationship and fix the issue. Based on the information you've provided it can't be done from here.
Related
I have below table structure:
enter image description here
here I want to put a date slicer in Power BI to filter on dates and return the count of total rows as total in the card as shown below:
enter image description here
simple, the only twist is that I want to have the total of hybrid car added at all times.
i.e.
Brands before 5/25/2020 = 4 Hybrid + 1 Electric = 5
Brands before 12/5/2020 = 4 Hybrid + 3 Electric = 7
I have found a solution, which is creating a view in my database, which jus holds the number count of hybrid car (select count(*) from table where cartype = 'hybrid') and using it to sum with filter rows in power bi - but I am looking for a solution completely in Power BI DAX query.
any measure I have tried to create in power bi is filtered by date slicer and so doesn't work.
Create these measure:
TOTALROWS = COUNT('cars'[brand])
ELECTRIC_NUM = CALCULATE([TotalRows],('cars'),'cars'[cartype]="ELECTRIC")
HYBRID_NUM = CALCULATE([TOTALROWS],ALL('cars'),'cars'[cartype]="HYBRID")
TOTALBYBUSINESSLOGIC = CALCULATE([ELECTRIC_NUM]+[HYBRID_NUM])
Now use the last measure (i.e. TOTALBYBUSINESSLOGIC) to be used in your Card to display the total, Notice the expression diffrence between ELECTRIC_NUM and HYBRID_NUM
(In HYBRID_NUM I have used ALL, All will have it bypass the Date Slicer filter) whereas ELECTRIC_NUM will only proivde sum of rows falling in the active date sliver range.
I have following questions.
Table Sales:
Table Product:
Table Sales is connected to table Product via Sales ID.
Table Sales contain 5 unique records, table Product contain only 3 of them. 2 are missing. Is there some way how to artificially create in Power BI missing category?
I have a problem that i was trying to solve 3 days ago and i'm not able to.
I have the following tables:
Companies
company_id
sales
1
2000
2
3000
3
4000
4
1000
Categories
company_id
category
1
medical
1
sports
2
industrial
3
consumption
4
medical
4
consumption
All i want to reach is a COLUMN CHART with a CATEGORY SLICER where i choose the category and i see the TOP 5 companies by category and sales. Yes, in this example the TOP is not needed but in my real case i have 400 companies so i want to:
Select and Show only the required category.
In that category, show only the 5 better companies by sales.
The problem here is Power BI takes all the companies for the TOP N filter so if i choose a category, and also try a top 5, if the companies are not in the TOP5 all companies list, it doesn`t show anything.
Thanks!
If you always want to show the same Top N values in your visual, you can use the filter pane to achieve that.
Below a walk through:
The to add the Top N filtering, I add the following:
It is in Dutch, so a little clarification:
I add a 'filter on this visual'
I selected Populairste N, which is Top N
And as a value I drag and dropped the maximum of sales.
Results:
Things to keep in mind:
You are using a many to many relationship, make sure that this is activated in the Power BI model.
Make sure the direction of filtering is from category to sales, otherwise the slicer will not work. It looks like this:
Hopefully a quick explanation of what I am hoping to accomplish followed by the approach we've been working on for over a year.
Desired Result
I have a table of SCD values with two columns, SCD_Valid_From and SCD_Valid_To. Is there a way to join a date table in my model (or simply use a slicer without a join) in order to be able to choose a specific date that is in between the two SCD columns and have that row of data returned?
Original Table
ID | SCD_Valid_From | SCR_Valid_To | Cost
1 2020-08-01 2020-08-03 5.00
Slicer date chosen is 2020-08-02. I would like this ID=1 record to be returned.
What We've Attempted So Far
We had a consultant come in and help us get Power BI launched last year. His solution was to create an expansion table that would contain a row for every ID/Date combination.
Expanded Original Table
ID | SCD_Valid_Date | Cost
1 2020-08-01 5.00
1 2020-08-02 5.00
1 2020-08-03 5.00
This was happening originally on the Power BI side, and we would use incremental refresh to control how much of this table was getting pushed each day. Long story short, this was extremely inefficient and made the refresh too slow to be effective - for 5 years' worth of data, we would need over 2000 rows per ID just to be able to select a dimensional record.
Is there a way to use a slicer where Power BI can select the records where that selected date falls between dates in two columns of a table?
Let me explain a workaround and I hope this will help you to solve your issue. Let me guess you have below 2 tables-
"Dates" table with column "Date" from where you are generating the date slicer.
"your_main_table" with with column "scd_valid_from" and "scd_valid_to".
Step-1: If you do not have relation between table "Dates" and "your_main_table", this is fine as other wise you have to create a new table like "Dates2". For this work around, you can not have relation between those tables.
In case you have already relation established between those tables, create a new custom table with this below code-
Dates2 =
SELECTCOLUMNS(
Dates,
"Date", Dates[Date]
)
From here, I will consider "Dates2" as source of your Date slicer. But if you have "Date" table with no relation with table "your_main_table", just consider "Dates" in place of "Dates2" in below measures creation. Now, Create these following 4 measures in your table "your_main_table"
1.
date_from_current_row = max(join_using_date_range[SCD_Valid_From])
2.
date_to_current_row = max(join_using_date_range[SCD_Valid_to])
3.
date_selected_in_slicer = SELECTEDVALUE(Dates2[Date])
4.
show_hide_row =
if(
[date_selected_in_slicer] >= [date_from_current_row]
&& [date_selected_in_slicer] <= [date_to_current_row]
,
1,
0
)
Now you have all instruments ready for play. Create your visual using columns from the table "your_main_table"
Final Step: Now just add a visual level filter with the measure "show_hide_row" and set value will show only when "show_hide_row = 1".
The final output will be something like below image-
I got really stumped for my whole day on how to display marketshare on Power BI. My data is kind of complicated but I will try to simplify the problem in here, assume I have two tables:
Dimension Supplier:
FactInvoice:
I would like to display the marketshare (Sum of Spend) for one specific supplier compared to others, with slicer and pie char like this:
So if user choose Supplier 2, the pie chart will show the marketshare of supplier 2 compared to others. I am not sure how DAX can support this
If the Pie chart is not possible, is there any way to show this concept on the Power BI, it does not matter which visual we can use?
Step 1 create data model like below image
Step 2: create two measures
Other Supplier = CALCULATE(SUM(FactInvoice[Spend]),FILTER(FactInvoice,FactInvoice[SupplierID]<>MAX(SupplierDup[ID])))
Selected Supplier = CALCULATE(SUM(FactInvoice[Spend]),FILTER(FactInvoice,FactInvoice[SupplierID]=MAX(SupplierDup[ID])))
Create your report( if you not select any supplier then comparison will be in between max id of supplier to others)
your report
download PowerBI file
First:
calculate % each company spend to total company using formula:
Company/total Spend Percentage = DIVIDE([Company Spend],[AllCompany Spend],0)
Second:
Subtract each company from total % i.e.= 1
Other company Spend% = 1-[Company/total Spend Percentage]
Put both measure in Pie Chart.