I have a report in reporting services. In this report, I am displaying the Top N values. But my Grand Total is displaying the sum of all the values.
Right now I am getting something like this.Here N = 2
+-------+------+-------------+
| Area |ID | Count |
+-------+------+-------------+
| - A | | 4 |
| | a1 | 1 |
| | b1 | 1 |
| | c1 | 1 |
| | d1 | 1 |
| | | |
| - B | | 3 |
| | a2 | 1 |
| | b2 | 1 |
| | c2 | 1 |
| | | |
|Grand | | 10 |
|Total | | |
+-------+------+-------------+
The correct Grand Total should be 7 instead of 10. A and B are toggle items(You can expand and contract)
How can I display the correct Grand Total using Top N filter?
I also want to use the filter in the report and not in the SQL query.
You should use the filter on the Dataset. Filtering the report object itself only turns off the items (rows, for example) visibility. The item / row itself will still be part of the group and will be used for calculations.
I found a way to solve my question. As Ido said I worked on the dataset. I am using Analysis Cube. So in this cube I created a Named Set Calculation.
In this set I used the TopCount() function. It filters out the TOP N values where N can be integer according to your choice.
So the final Named Set in this case is :-
TopCount([Dim Area].[Area].[Area], 2, ([Measures].[Count]))
This will give you Grand total of Top N filtered values.
Related
I am working on a PowerBI report that is grabbing information from SQL and I cannot find a way to solve my problem using PowerBI or how to write the required code. My first table, Certifications, includes a list of certifications and required trainings that must be obtained in order to have an active certification.
My second table, UserCertifications, includes a list of UserIDs, certifications, and the trainings associated with a certification.
How can I write a SQL code or PowerBI measure to tell if a user has all required trainings for a certification? ie, if UserID 1 has the A certification, how can I verify that they have the TrainingIDs of 1, 10, and 150 associated with it?
Certifications:
CertificationsTable
UserCertifications:
UserCertificationsTable
This is a DAX pattern to test if contains at least some values.
| Certifications |
|----------------|------------|
| Certification | TrainingID |
|----------------|------------|
| A | 1 |
| A | 10 |
| A | 150 |
| B | 7 |
| B | 9 |
| UserCertifications |
|--------------------|---------------|----------|
| UserID | Certification | Training |
|--------------------|---------------|----------|
| 1 | A | 1 |
| 1 | A | 10 |
| 1 | A | 300 |
| 2 | A | 150 |
| 2 | B | 9 |
| 2 | B | 90 |
| 3 | A | 7 |
| 4 | A | 1 |
| 4 | A | 10 |
| 4 | A | 150 |
| 4 | A | 1000 |
In the above scenario, DAX needs to find out if the mandatory trainings (Certifications[TrainingID]) by Certifications[Certification] is completed by
UserCertifications[UserID ]&&UserCertifications[Certifications] partition.
In the above scenario, DAX should only return true for UserCertifications[UserID ]=4 as it is the only User that completed at least all the mandatory trainings.
The way to achieve this is through the following measure
areAllMandatoryTrainingCompleted =
VAR _alreadyCompleted =
CONCATENATEX (
UserCertifications,
UserCertifications[Training],
"-",
UserCertifications[Training]
) // what is completed in the fact Table; the fourth argument is very important as it decides the sort order
VAR _0 =
MAX ( UserCertifications[Certification] )
VAR _supposedToComplete =
CONCATENATEX (
FILTER ( Certifications, Certifications[Certification] = _0 ),
Certifications[TrainingID],
"-",
Certifications[TrainingID]
) // what is comeleted in the training Table; the fourth argument is very important as it decides the sort order
VAR _isMandatoryTrainingCompleted =
CONTAINSSTRING ( _alreadyCompleted, _supposedToComplete ) // CONTAINSSTRING (<Within Text>,<Search Text>); return true false
RETURN
_isMandatoryTrainingCompleted
I am a PowerBI newbie and I have been playing with DAX functions, more specifically, the RANKX function. Here is my data set:
+----------+-------------------------------------+-----------------+----------+
| Category | Sub Category | Date | My Value |
+----------+-------------------------------------+-----------------+----------+
| A | A1 | 2018-01-01 | 2 |
| A | A2 | 2018-01-02 | 4 |
| A | A3 | 2018-01-03 | 6 |
| A | A4 | 2018-01-04 | 6 |
| B | B1 | 2018-01-05 | 21 |
| B | B2 | 2018-01-06 | 22 |
| B | B2 | 2018-01-07 | 23 |
| C | C1 | 2018-01-08 | 35 |
| C | C2 | 2018-01-09 | 35 |
| C | C3 | 2018-01-10 | 35 |
+----------+-------------------------------------+-----------------+----------+
And below is my code:
Rank all rows as Column =
RANKX(
'Table',
'Table'[My Value]
)
Unfortunately, I am getting the following error:
A single value for column 'My Value' in table 'Table' cannot be
determined. This can happen when a measure formula refers to a column
that contains many values without specifying an aggregation such as
min, max, count, or sum to get a single result.
Any help would be greatly appreciated.
Thanks
There is nothing wrong with your formula, you just put it in a wrong place.
There are 2 ways you can write DAX formulas in PowerBI:
as a calculated column
as a measure
The difference is critical, you need to learn it if you want to use PowerBI.
The formula you wrote is for calculated columns. If you create it as a measure, you will get an error. To fix the problem, go to tab "Model", click "New Column", paste your code and it should work.
If you need RANKX as a measure, Chrisoffer has given you a good answer.
Create a mesure to sum "My value" column:
Sum value = SUM(Table[My value])
Then use this measure to get your rank:
Rank all rows as Column =
RANKX(ALL(Table);[Sum value])
This will give you the rank of each sub category.
I have a table with following stock data where we have couple of columns like date, ticker, open and close(stock prices).
To query this data, I want to know which stock has given the highest margin on particular date. So if I have 516 different stocks, my query should return 516 rows of ticker, date, open, close and a new column Margin(which will be max(close-open)).
| deep_stocks.date_ | deep_stocks.ticker | deep_stocks.open | deep_stocks.close |
+--------------------+---------------------+-------------------+--------------------+--+
| 20100721 | A | 27.68 | 27.58 |
| 20100722 | A | 27.95 | 28.72 |
| 20100723 | A | 28.56 | 29.3 |
| 20100726 | A | 29.22 | 29.64 |
| 20100727 | A | 29.73 | 28.87 |
| 20100728 | A | 28.79 | 28.78 |
| 20100729 | A | 28.97 | 28.15 |
| 20100730 | A | 27.78 | 27.93 |
| 20100802 | A | 28.35 | 28.82 |
| 20100803 | A | 28.7 | 27.84 |
I have written a query where my approach was:
Step 1 - Get the difference between Close and Open prices (Inner/Sub query)
Step 2 - Get the maximum of margin for every stock (used group by with max function)
Step 3 - Join the results with Main Table and get the data.
I'll put my query in solution or comments can someone please correct it as it is taking more time. Also I would like to know can we have any other alternative approach.
As already told about my approach please find below query:
SELECT ds.ticker, ds.date_, ds.close, ds.open, ds.Margin FROM
(SELECT ticker, date_, close, open, case(close-open)>0 when true then round(close-open,2) else 0 end as Margin FROM DataStocks) ds
JOIN
(SELECT dsIn.ticker, max(dsIn.Margin) mxMargin FROM
(select ticker, case(close-open)>0 when true then round(close-open,2) else 0 end as Margin FROM DataStocks ) dsIn group by dsIn.ticker) dsEx
ON ds.ticker=dsEx.ticker AND ds.Margin=dsEx.mxMargin ORDER BY ds.Margin;
Do we have any other alternatives for this query or can it be possible to optimize it.
I have a table with an unknown number of columns, and I need to combine all columns after a certain point. Consider the following:
| A | B | C | D | E |
|----|----|---|---|---|
| 24 | 25 | 7 | | |
| 12 | 3 | 4 | | |
| 5 | 5 | 5 | 5 | |
Columns A-C are known, and the information in them correct. But column D to N (an unknown number of columns starting with D) needs to be combined as they are all parts of the same string. How can I combine an unknown number of columns in OpenRefine?
As some columns may have empty cells (the string may be of various lengths) I also need to disregard empty cells.
There is a two step approach to this that should work for you.
From the first column you want to merge (Col D in this case) choose Transpose->Transpose cells across columns into rows
You will be asked to set some options. You'll want to choose 'From Column' D and 'To Column' N. Then choose to transpose into One Column, assign a name to that column, make sure the option to 'Ignore Blank Cells' is checked (should be checked by default. Then click Transpose.
You'll get the values that were previously in cols D-N appearing in rows. e.g.
| A | B | C | D | E | F |
|----|----|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 |
Transposes to:
| A | B | C | new |
|----|----|---|-----|
| 1 | 2 | 3 | 4 |
| | | | 5 |
| | | | 6 |
You can then use the dropdown menu from the head of the 'new' column to choose
Edit cells->Join multi-value cells
You'll be asked what character you want to use to separate the characters in the joined cell. Probably in your use case you can delete the joining character and combine the cells without any joining characters. This will give you:
| A | B | C | new |
|----|----|---|-----|
| 1 | 2 | 3 | 456 |
is it possible to have a sum in detail band in iReport?
It is important to have cells merged vertically after export to excel like this:
-----------------------------
| id | year | value | sum |
-----------------------------
| | 2010 | 55 | |
| 1 | 2011 | 65 | 180 |
| | 2012 | 60 | |
-----------------------------
| 2 | 2010 | 70 | 70 |
-----------------------------
My idea is to have the main query with GROUP BY clause and for "year" and "value" use table component with another query. Problem is that my query is long running and i need to have only one in whole report.
First have a look at here. It's about grouping rows.
You will see that you should create a group in your report, not in the query depending on your id field.
For calculating the sum field, drag the value field to the column footer, and then you will see a pop-up menu. Click to the result of an aggregation function radio button, then choose sum function. This will create a variable to calculate the sum of the value field. Change this variable's reset type to group (to id_group). Use this field in your sum field.
For grouping rows depending on id, click on the sum field and set this field's print when group changes to id_group.
this should help :)
when you group your fields your table will look like this. The grouped fields are at the top.
-----------------------------
| id | year | value | sum |
-----------------------------
| 1 | 2010 | 55 | 180 |
| | 2011 | 65 | |
| | 2012 | 60 | |
-----------------------------
| 2 | 2010 | 70 | 70 |
-----------------------------