Remove single column value from row total value a a PowerBi Matrix - powerbi

I have a matrix that has numerous categories/columns with a total of each row. I want a specific column to remain in the matrix, but should not form part of the row total.
Dog
Cat
Chicken
Total (Excl. Chicken)
2
2
10
4
2
4
100
6
I only find ways to either remove the row total of the column totals for specific columns. Also appear that measures does not work in matrix's. Do I need to rather use a table with a added measure or is there a way with a matrix?

Related

Power BI Matrix to Sum the Numeric and Alpha Numeric values. And Provide the Grand Total in customizable way

I have below table which contains the columns as
Report Headers, South, North, East and West.
I would like to show output as shown in Total column.
Since I have Numeric, Alphabets, and percentage of value are mixed in the table, I am not able to calculate the Total values in Power BI Matrix.
enter image description here
I need the output as it is in Total column. I have given the Total Column formula in "Formula in Total column"
Row 1 Total is SUM
Row 2 Total is SUM
Row 3 Total is SUM
Row 4 Total is Division of Row 1 and Row 2. And it needs to displayed in Percentage.

How to calculate the average of each row in PowerBI DAX?

How can i find the average of each row?
I need to calculate the average of category 1 to 5 for Location A and B and C and so on.
Problem 2: I need to calculate the of all columns in row 10
I tried average, averagea and average but to no avail.
Option-1: You unpivot data and your category values will comes in row per category. Now you can easily calculate the average per location.
Option-2: do something very static like: (cat1+cat2+cat3+cat4+cat5)/5

How to divide a PySpark list into different columns?

I have a Data Frame with one column in each row of this column there is a list with 2 numbers. The first number is an integer and the second number is double. For example row 1 is [12, 14.5] and row 2 is [21, 27.3]. How can I divide this list into 2 columns so I will have the first number of list in one column and second number of the list in another column?
The thing that you need to add or update in your code :
df = df.select(col('vals.val1').alias("val1"), col('vals.val2').alias("val2"))

How to show the total values of rows in a Matrix with number value having my columns values as percentage

I've started to manage PowerBi from a couple of weeks so i'm a little bit confused about some things.
My problem is that i need a Matrix in my dashboard with percent values but i want the total in number value because the total of a percent of row shows me always 100% and i dont know about the number i'm working
This is my Matrix with percentage values
This is how i want the total of row returns me but with the columns values ins percentage
I've tried to make a measure counting the values
COUNT(OPSRespuestas[answer])
After that turn off the total of rows and add this measure to the values in my matrix but this is what i get
This is my table after trying add a measure with the total
It returns me the total for each of the columns and not the total of all my rows.
These are the tables i'm working with
This my top header values
This is my left header values
The answer column is what i need to count
This is my relationship between this 3 tables although i have many more intermediate table aside from this 3 as you're going to see in the next picture:
My relationship tables
So finally what i need is that this matrix shows me the total of answer in percentage for each of departments and group of questions and then show me total by department but with number value
The problem you are experiencing has to do with context. Each row is seen as it own total population hence the 100% total. Each column in this row is evaluated against the total of that row to provide a percentage value.
In addition to adding a custom measure to replace the total, you could also consider computing a percentage against the grand total of all dimensions. This means that each cell gets evaluated against the the total of all rows and columns. In this ways the cell value would change compared to your first table but the row total does not evaluate to 100% anymore.
SUM ( [Value] ) / CALCULATE ( SUM ( [Value] ) ; ALL ( 'Your Table' ) )

sap hana calculated column check for multiple IDs

i want to create a calculated column, which will show two values: Y or N
2 columns are here important, "VAT-ID" and "CUSTOMER-ID". the calculated column will check if a customer-ID has multiple VAT-IDs. If yes the value "Y" should be displayed, else "N".
for example, the first 5 rows of the customer-id column are:
123456
654321
666666
123456
654321
the first 5 rows of the VAT-id column are:
EE999999999
AA999999999
GG999999999
KK999999999
AA999999999
the first 5 rows of the calculated column should be then:
Y
N
N
Y
N
any Help would be appreciated
Calculated columns don’t allow for aggregations across groups or other than the current row.
What you can do to achieve your goal is to create a separate aggregation node and count distinct VAT-IDs grouped by CUSTOMER-ID.
With this, you can now have a calculated column that checks for VAT-ID-COUNT > 1 and map it to your Y/N values.
As Lars mentioned it is not possible to use a window function within a calculated field on HANA table
But you can use following query to check if VAT number is multiple for a customer or not
select
CustomerId, VATID,
case
when (count(*) over (partition by CustomerId, VATID)) > 1
then 'Y'
else 'N'
end
from CustomerVAT;