I have the below table connected into Power BI and I am looking for ways to create a formula calculating % of grand total of the Rating column and further subtracting with targets for each rating. For example, the % of grand total for Rating 1 is 3 divided by 7 (42.86%). The most important part of the formula is the denominator which has to remain at a total level and dynamic for any filters applied to either Grade or BU columns. For example, denominator at a total level would be 7 and when filtered down to Academy BU should be 3.
Sample Data Table:
Rating Target Table:
I want the end result to look like this,
I have used the following formula to achieve this,
Measure created: % of total calc = DIVIDE(COUNT('Table'[Rating]),CALCULATE(SUM('Table'[Count]),'Table'[Rating]))
To make the above formula work I had to add an extra column and include ones in it (see below)
I want to know if there are other ways of achieving this outcome?
ALLEXCEPT will produce such result to exclude used dimensions and include mandatory filters such as date with one condition, rating, date, any dimension must be in the same table.
Related
I want to have the %-Share of a value in Qlik. I have two dimension and on KPI which I am using in a distribution graph:
The data is:
Point Brand Business
A AA 1
B AA 1
C AA 1
Right now i am using the formula: Count([Business])/Count(total [Business]), on my Y-Achse I have the Brand and my point is Point, Right now he is calculating the Super total, but How can I only calculate the total for the Brand? Something like Count([Business])/Count(total [Business], if Brand == Brand)
You should add Brand field as aggregation scope
count([Business]) / Count(total <Brand> [Business])
From Qlik's documentation
By using TOTAL [], where the TOTAL qualifier is followed by a list of one or more field names as a subset of the chart dimension variables, you create a subset of the total possible values.
Adding the field to the total can be translated as: count all Business but aggregated by Brand. And since Brand is also a dimension to the chart then for each row Count Total will be the count for the current Brand value
I'm trying to understand how TOTAL and Aggr work in QlikView. Could someone please explain the difference between the two examples below, and if possible please illustrate with a SQL query?
Example1:
Max({<Field1=>} Aggr(Sum({<Field2={'Value'}, Field1=>} StuffCount), Field1))
Example2:
Max({<Field1=>} TOTAL Aggr(Sum({<Field2={'Value'}, Field1=>} StuffCount), Field1))
Not sure what you mean with and SQL query in this example. Anyway, imagine you have this list of Customers (CustomerID) and Sales (Sales):
CustomerID/ Sales
Customer1 25
Customer2 20
Customer1 10
Customer1 5
Customer1 20
Customer3 30
Customer2 30
Then you want to show it on a pivot table with dimension CustomerID and two expressions:
Max(Aggr(Sum(Sales), CustomerID)) // this will show 60 for the first customer, 50 for the second and 30 for the third one
Max(TOTAL Aggr(Sum(Sales),CustomerID)) //this will show 60 in every row of your table (which is the maximum sum of sales among all customers)
So basically AGGR creates a temporal list of whatever you put in the first function input (in this case sum(Sales)) using the dimension of the second (CustomerID). Then you can perform operations on that list (such as Max, Min, Avg...). If you write TOTAL and use the expression in a pivot table, then you 'ignore' the dimensions that might be affecting the operations.
Hope it helps
TOTAL keyword is useful in charts/pivot tables. It applies the same calculation on every datapoint in the chart/pivot, with independence of dimentions.
Therefore - if you put your expression into pivot table - 1st option may display different values per cell (if the Aggr is rellevant) when the 2nd will result in same values.
Aggr function allows making double aggregations (avg of sum, max of count etc..) on different group by bases.
I have a Fact table that shows the results of KPIs. There are several KPIs, and some of these have a similar output.
My current columns are something like this:
KPI_ID, DOCUMENT_ID, TRUE_FALSE_FLAG1, TRUE_FALSE_FLAG2, DURATION_3, DURATION_4
So, for KPI number 1 (true false output), the last three columns will be NULL- values. Should I combine TRUE_FALSE_FLAG1 and TRUE_FALSE_FLAG2? What is BEST PRACTICE?
In total, there are 18 columns, where 12 of them are either true/false- flags or durations in the shape of "number of days" (integer).
picture of the two alternatives
EDIT:
KPI 3 could be "duration of problem", and you'd have a bunch of problems, each with a documentID, represented as a row. Dur_3 would be like 5 days, 3 days, 10 days, etc. KPI 4 would be "Delay of fix after repair was ordered", and the answer would still be an integer in days. But completely non- related to KPI 3.
Reporting could be "average delay of fix". So roughly a select AVG() from table where KPI_ID = 3 group by KPI_ID.
Based on your latest comment, you are best with Alternative 2. Specifically, as long as every KPI is only True/False, and has only one duration to store, you are better with Alternative 2.
EDIT: with Alternative 2, each KPI can store one True/False value AND one duration value
I want the equivalent SUM and Group By as in t-SQL. But I haven't found the answer on the web.
My MDX return has some records that have the same name. I want to show the distinct name with the measure summed up just like Group by feature in SQL.
It seems like it's a common feature. Thanks.
When you define a measure in AS you can set it several different ways including count and sum.
Let's assume you have a product dimension and a fact of sales. A simple query to get the total sales by product would look like the following.
SELECT {[Measures].[ItemCount], [Measures].[SalesDollars]} ON 0,
[Products].[Products].children ON 1
FROM [CUBE]
This would give you sample output like
Product Item Count Sales Dollars
Bike 10 1000
Tire 3 650
Anyone have advice on how to build an average measure that is dynamic -- it doesn't specify a particular slice but instead uses your current view? I'm working within a front-end OLAP viewer (Strategy Companion) and I need a "dynamic" implementation based on the dimensions that are currently filtered in the data view.
My fact table looks something like this:
Key AmountA IndicatorA AmountB Other Data
1 5 1 null 25
2 6 1 null 52
3 7 1 2 106
4 null 0 4 108
Now I can specify a simple average for "[Measures].[AmountA]" with "[Measures].[AmountA] / [Measures].[IndicatorA]" which works great - "[IndicatorA]" sums up to the number of non-null values of "[AmountA]". And this also works great no matter what dimensions are selected in the view - it always divides by the count of rows that have been filtered in.
But what about [AmountB]? I don't have a null indicator column. I want to get an average value of [AmountB] for whatever rows have been filtered in for my current view. If I try to use the count of rows as a simple formula (psuedo-code "[Measures].[AmountB] / Count([Measures].[Key])") I get the wrong result, because it is counting all the null rows in the average.
So, I need a way to use the AVG function to specify the average of [AmountB] over the set of "whatever rows I'm currently filtering in, based on whatever dimensions I'm currently using". How do I specify this dynamic set?
I've tried several different uses of the AVG function and they have either returned null or summed up to huge numbers, clearly not the average I'm looking for.
Thanks-
Matt
Sorry, my first suggestion was wrong. If you don't have access to OLAP cube you can't write any mdx-query for this purpose (IMHO). Because, you don't have any detailed data (from your fact table) in this access level and you can use only aggregated data and dimensions from your cube.
Otherwise (if you have access to olap db), you can create this metric (count of not NULL rows) in your measure group and after that use it for AVG calculation (as calculated member in your cube or in section "WITH" in your mdx-query).