Looking to add a column in my SSRS Matrix which will give me the percentage from the total column in that row.
I'm using the following expression, but keep getting 100% for my percentages (I'm assuming this is because the total is evaluated last, so it's just doing Total/Total?
=FORMAT((Fields!ID.Value/SUM(Fields!ID.Value)), "P")
The field ID is calcuted within SQL, not SSRS.
For example
Site | Value 1 | %1 | Value2 | %2 | Total
1 | 20 | 50% | 20 | 50% | 40
Probably this is happening because you need define the right scope for the SUM function:
SUM(Fields!ID.Value,"group_name") instead of plain SUM(Fields!ID.Value)
Updated:
I needed some time to make an example since I didn't have reporting services available the first time I answered you.
You can see the result and the field values
Hard to provide details without more info on the setup of your groups, but you should look at using the scope option to the aggregate operators like SUM or first:
=SUM(Fields!ID.Value, "NameOfRowGrouping") / SUM(Fields!ID.Value, "TopLevelGroupName")
Also, to keep things clean, you should move your format out of the expression and to either the placeholder properties or textbox properties that contains your value.
Related
I am a beginner trying to achieve a simple operation in SSRS using Visual Studio 2019. I have a query which returns a table as follows
ID | Name | Married
1 | Jack | Y
2 | Jack | N
The number of records might vary depending on the number of results. On the report, I want to display only the field 'Married' once. The value of the field will be determined using an OR operation, i.e. if the field 'Married' is 'Y' for any one record, I want to display a 'Y' on the report.
Assuming the Values are either Y or N, you should be able to use something like
=MAX(Fields!Married.Value)
If you report is grouped by, for example, Name then this will give you the MAX value within each group which is probably what you want.
If this does not help, edit your question and show
Your report design
Row Group panel plus details of grouping
A larger sample of data
Expected results from that sample data
I have a couple of joined Athena tables in Quicksight. The data looks something like this:
Ans_Count | ID | Alias
10 | 1 | A
10 | 1 | B
10 | 1 | C
20 | 2 | D
20 | 2 | E
20 | 2 | F
I want to create a calculated field such that it sums the Ans_Count column based on distinct IDs only. i.e., in the example above the result should be 30.
How do I do that?? Thanks!
Are you looking for the sum before or after applying a filter?
Sumif(Ans_Count,ID) may be what your looking for.
If you need to always return the result of the sum, regardless of the filter on the visual, look at the sumOver() function.
You can use distinctCountOver at PRE_AGG level to count unique number of values for a given partition. You could use that count to drive the sumIf condition as well.
Example : distinctCountOver(operand, [partition fields], PRE_AGG)
More details about what will be visual's group by specification and an example where there duplicate IDs will help give a specific solution.
It might even be as simple as minOver(Ans_Count, [ID], PRE_AGG) and using SUM aggregation on top of it in the visual.
If you want another column with the values repeated, use sumOver(Ans_Count, [ID], PRE_AGG). Or, if you want to aggregate via QuickSight, you would use sumOver(sum(Ans_Count), [ID]).
I agree with the above suggestions to use sumOver(sum(Ans_Count), [ID]).
I have yet to understand the use cases for pre_agg, so if anyone has concrete examples please share them!
Another suggestion would be to do a sumover + partition by in your table (if possible) before uploading the dataset, then checking if the results matche with Quicksight's aggregations. I find Quicksight can be tricky with calculated fields, aggregations, and nested ifs so I've been doing calculations in SQL where possible before bringing it in to quicksight to have a better grasp of what the outputs should look like. This obviously is an extra step, but can help in understanding how quicksight pulls off calcs and brings up figures (as the documentation doesn't always give much), and spotting things that don't look right (I've had a few) before you share your analysis with a wider group.
From what I understand, there is no built-in function in Google Sheets that allows you to set a seed for RAND() or RANDBETWEEN().
My goal is to create a list of psuedo-random integers, within a range, using a function that will produce different (though, not necessarily unique) values based on:
Which cell is running the function
And the value in a second cell that contains a seed of my choosing
I need it to produce the same value every time the function is run in a particular cell, with a particular seed.
What is the simplest way to achieve this, so that someone who isn't me and has no programming knowledge can easily use the formula in other cells, as they need to?
Short answer
Use VLOOKUP and ADDRESS
Explation
Create a simple table with two columns, one for a compound key made from the cell address and the "seed" the other for the "seudo-random integers" (SRI)
Simple table
Sheet name: Table
Sheet content (for illustrative purposes):
| A | B |
1|key | SRI |
2|A1-1 | 1 |
3|A1-2 | 77 |
Formula
=VLOOKUP(ADDRESS(ROW(),COLUMN(),4,FALSE)&"-1",Table!A2:B,2,0)
I want to accomplish something easy to understand (and maybe easy to do but I can't find a way...).
I have a table which represents the date when a client has bought something.
Let's have this example:
=============================================
Purchase_id | Purchase_date | Client_id
=============================================
1 | 2016/03/02 | 1
---------------------------------------------
2 | 2016/03/02 | 2
---------------------------------------------
3 | 2016/03/11 | 3
---------------------------------------------
I want to create a single number card which will be the average of purchase realised by day.
So for this example, the result would be:
Result = 3 purchases / 2 different days = 1.5
I managed doing it by grouping in my query by Purchase_date and my new column is the number of rows.
It gives me the following query:
==================================
Purchase_date | Number of rows
==================================
2016/03/02 | 2
----------------------------------
2016/03/11 | 1
----------------------------------
Then I put the field Number of rows in a single number card, selecting "Average".
I have to precise that I am using Direct Query with SQL Server.
But the problem is that I want to have a filter on the Client_id. And once I do the grouping, I lose this column.
Is there a way to have this Client_id as a parameter?
Maybe even the fact of grouping is not the right solution here.
Thank you in advance.
You can create a measure to calculate this average.
From Power BI's docs:
The calculated results of measures are always changing in response to
your interaction with your reports, allowing for fast and dynamic
ad-hoc data exploration
This means filtering client_id's will change the measure accordingly.
Here is an easy way of defining this measure:
Result = DISTINCTCOUNT(tableName[Purchase_date])/DISTINCTCOUNT(tableName[Purchase_id])
I have a question about the visual studio report builder (rdlc files).
I have a row group with counts of records per doctor:
http://i.stack.imgur.com/n0G0k.png
The count of records is used in the first column. The column grouping repeats the "No" and "%" columns per "PatientComfort" value.
How do I get the percentage column to show the percentage of each "No" column per row?
I would want this type of thing:
Comfort1 Comfort2 Comfort3
No % No % No %
Dr Smith 17 31% 34 62% 4 7%
Dr Jones 22 37% 15 25% 22 38%
Thanks for you help.
For the denominator, you need to get the total for each doctor, so you have to specify the Scope of the aggregate used in the denominator. The % expression will look something like:
=Sum(Fields!no.Value) / Sum(Fields!no.Value, "doctor")
With an example based on your data:
I set up at test report as the following:
The % expression is the one specified above. This gives the correct results, give or take some rounding/sorting differences:
Added after comment
It sounds like you can just change the expression to:
=Count(Fields!no.Value) / Count(Fields!no.Value, "Endoscopist")
You're just changing the aggregate type from Sum to Count; you don't need to apply further aggregates to the Count value.
The principle, taking the current Scope aggregate and comparing it to a parent Scope, is still the same.
If you're still having issues please supply an example DataSet definition with a few lines of data along with your desired results.