I got country in rows and years in columns. And need to put a value of poverty ratio for each column and row (In Angola in 1999 poverty ratio is 0.5). Not a function like SUM or MIN, just a value I already got. Please help me how to bypass function.
Here is a matrix:
And that's how matrix looks like when I try to insert poverty ratio as value (just amount of records are inserted):
Related
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
I am trying to get my head around DAX and am struggling. I have a PowerBI Matrix in which I need to calculate the average of a measure. The measure is '% of population' and on the surface it appears to work exactly as expected.
It calculates correctly in the top matrix for the two levels and also summarises correctly in the bottom table.
As an example, I have highlighted in red the order of calculations for "A3"
For the record the % population is set to
% of Population = sum(Data[Value])/sum('Level'[Population])
The problem occurs when I filter on the Country and only select Country 2...
Country 2 does not have data for "D13". Although the Values sum up correctly (170), the Sum of the Population includes the 300 from the missing D13 row making a total of 600 and the '% population' of 28.33% (instead of 170 / 300 = 57%)
I am happy to turn off the group totals in the top grid so that the 28.33 does not show; so my real problem is actually with the bottom grid.
I think I need a new measure to be displayed in the bottom grid. I think it simply needs to sum up the values and divide by the sum of the populations - but only when the value is present. How do I do that?
Or am I totally on the wrong track and there is an obvious answer that I am missing?
The PowerBI file can be downloaded from here
Thanks in advance.
The reason this is happening is that the Country table does not filter the Level table in the relationship diagram since they both only filter one way to the Data table and there are no other relationships.
Without changing your data model, one way to fix this in DAX is to specify that you only want to count Population where Level[LevelId] matches a Data[SecondLevelId] in your current filter context.
Population =
DIVIDE (
SUM ( Data[Value] ),
CALCULATE (
SUM ( 'Level'[Population] ),
'Level'[LevelId] IN VALUES ( Data[SecondLevelId] )
)
)
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' ) )
I have a table with country and population for 2017, and I have another table with country and population growth rate%. And I have one table with years like (2018 to 2028). I am trying to find calculated population for 10 years on the basis of these data as we are calculating compound interest.
Because you are working with growth rates, it is very unlikely that you will want to do this calculation as a measure. Rates don't aggregate well.
So, the first thing you're going to want to do is get your data into one table. I would do this in query editor.
You'll need a Cartesian join between your list of countries and a list of years. The PowerBI method for this is a little non-intuitive. You add a custom column, and in the formula you just type in the name of the table.
The result is that every single row in the countries table will be matched with every single row from the years table. If you have 5 rows in one and 10 rows in the other, the resulting table is 50 rows.
Then Merge in your table with the growth rates. Now you have a table that has the name of the country, the 2017 starting population, the growth rate. This set of rows will be repeated for every year from 2018 - 2028.
There is a specific formula for cumulative (compounded) growth.
Pricipal * ( 1 + RatePerPeriod / NumberOfCompoundsPerPeriod) ^ (NumberOfPeriods * NumberOfCompoundsPerPeriod)
You're doing this annually, so it simplifies a bit
Pricipal * ( 1 + Rate) ^ (NumberOfYears)
And the M will look like this:
[2017 Population] * Number.Power((1 + [Growth]),([Year] - 2016))
Good Luck! Hope it helps.
I have not been able to find an answer to this question, although there are some similar ones.
I have a large dataset (9 million rows) that contains
an id column ("id"),
an identifier if "id" is new for that period ("new_id"),
a latitude column ("lat")
and a longitude column ("long").
In SAS, what I want to do is, using the geodist function, compare the distance between each row and create an indicator, "nearby", that equals 1 if the distance between that id and any other id is less than 50 miles and "new_id" = 1 for the other row.
Below is some pseudo code of what I'm trying to do. Any help would be greatly appreciated. Thanks!
Pseudo code:
For all_rows1 in data
For all_rows2 in data
if (geo_dist(all_rows1(lat), all_rows1(long), all_rows2(lat), all_rows2(long) < 50)
and all_rows2(new_id) = 1
then all_rows1(nearby) = 1