I have a report with one group of which the visibility is toggled based on if the [total] is greater than 5. I want to make another row, that adds up only the visible information from each column. The first column is the owner name, The 3rd column [total] gets divided by the second column to get the 4th [avg] column. Right now it's counting everything, including the hidden rows.
Also, columns 2-4 are calculated based on expressions
Example of what I want it to look like
Owner Count Total AVG
Bob 3 12 4
Jane 1 9 9
Marcos 2 24 12
TOTAL: 6 45 7.5
I also need to count the visible Owners total, and divide that by the total amount of active owners, which I pull from a second dataset.
Example if we had 12 owners total
Total listed owners: 3
% of owners: 25%
For the total displayed owners, just SUM on the expression you use to hide the row:
=SUM(IIF(Fields!Total.Value > 5, 1, 0))
then to get the percent, divide this by the COUNT of the total rows, including the hidden ones (which you already have).
Related
I'm not sure if SSRS is dumb, or I am (I'm leaning towards both).
I have a dataset that (as a result of joins etc) has some columns with the same values duplicated across every row (fairly standard database stuff):
rid cnt bid flg1 flg2
-------------------------------
4 2882 1 17 3
5 2784 1 17 3
6 1293 1 17 3
18 9288 2 4 9
20 762 2 4 9
Reporting based on cnt is straightforward enough. I can also make a tablix that shows the following:
bid flg1 flg2
------------------
1 17 3
2 4 9
(Where the tablix is grouped by Fields!bid.Value and the columns are just Fields!flg1.Value and Fields!flg2.Value respectively.)
What I can't figure out is how to display the sum of these values -- specifically I want to show that the sum of flg1 is 21 and the sum of flg2 is 12 -- not the sum of every row in the dataset (counting each value more than once).
(Note that I'm not looking for a sum of distinct values, as they may not be unique. I want a sum of one value from each bid group, because it's from a table join so they will always have the same value.)
If possible, I'd also like to be able to do a similar calculation at the top level of the report (not in any tablix); although I'd settle for hiding the detail row if that's the only way.
Obviously, Sum(Fields!flg1.Value) isn't the answer, as this either returns 51 (if on the first row inside the group) or 59 (if outside it).
I also tried Sum(Fields!flg1.Value, "bid") but this wasn't considered a valid scope.
I also tried Sum(First(Fields!flg1.Value, "bid")) but apparently you're not allowed to sum first values for some weird reason (and may have had the same scope problem anyway).
Using Sum(Max(Fields!flg1.Value, "bid")) does work, but feels wrong. Is there a better way to do this?
(Related: is there a good way to save the result of that calculation so that I can later also show a Sum of those totals without an even hairier expression?)
There are two basic ways to do this.
Do what you have already done (Sum(Max(Fields!flg1.Value, "bid")))
Sum the rendered values. To do this check the name of the cell containing the data you want (check it's properties) and then use something like =SUM(ReportItems!flg1.Value) where flg1 is the name of the textbox, which is not necessarily always the same name as the field.
Is there a way to use an Over and Intersect function to get the average sales for the first 3 periods (not always consecutive months, sometimes a month is skipped) for each Employee?
For example:
EmpID 1 is 71.67 ((80 + 60 + 75)/3) despite skipping "3/1/2007"
EmpID 3 is 250 ((350 + 250 + 150)/3).
I'm not sure how EmpID 2 would work because there are just two data points.
I've used a work-around by calculated column using DenseRank over Date, "asc", EmpID and then used another Boolean calculated column where DenseRank column name is <= 3, then used Over functions over the Boolean=TRUE column but I want to figure the correct way to do this.
There are Last 'n' Period functions but I haven't seen anything resembling a First 'n' Period function.
EmpID Date Sales
1 1/1/2007 80
1 2/1/2007 60
1 4/1/2007 75
1 5/1/2007 30
1 9/1/2007 100
2 2/1/2007 200
2 3/1/2007 100
3 12/1/2006 350
3 1/1/2007 250
3 3/1/2007 150
3 4/1/2007 275
3 8/1/2007 375
3 9/1/2007 475
3 10/1/2007 300
3 12/1/2007 200
I suppose the solution depends on where you want this data represented, but here is one example
If((Rank([Date],"asc",[EmpID])<=3) and (Max(Rank([Date],"asc",[EmpID])) OVER ([EmpID])>=3),Avg([Sales]) over ([EmpID]))
You can insert this as a calculated column and it will give you what you want (assuming your data is sorted by date when imported).
You may want to see the row numbering, and in that case insert this as a calculated column as well and name it RN
Rank([Date],"asc",[EmpID])
Explanation
Rank([Date],"asc",[EmpID])
This part of the function is basically applying a row number (labeled as RN in the results below) to each EmpID grouping.
Rank([Date],"asc",[EmpID])<=3
This is how we are taking the top 3 rows regardless if Months are skipped. If your data isn't sorted, we'd have to create one additional calculated column but the same logic applies.
(Max(Rank([Date],"asc",[EmpID])) OVER ([EmpID])>=3)
This is where we are basically ignoring EmpID = 2, or any EmpID who doesn't have at least 3 rows. Removing this would give you the average (dynamically) for each EmpID based on their first 1, 2, or 3 months respectively.
Avg([Sales]) over ([EmpID])
Now that our data is limited to the rows we care about, just take the average for each EmpID.
#Chris- Here is the solution I came up with
Step 1: Inserted a calculated column 'rank' with the expression below
DenseRank([Date],"asc",[EmpID])
Step 2: Created a cross table visualization from the data table and limited data with the expression below
I have a timestamp column which has following time entries...i m writing as alphabets for convenience.
Person Time
1 A
2 B
3 C
4 D
5 E
5 F
5 G
6 H
Now the objective is to group all the entries that have a time difference of less than 2 hours between them which are generated by the same person and the count of elements in that group.
And so if i had say 100 entries....first if i were to consider 10 out of 100 entries then i need to check whether all 10 entries are from the same person then check if first 10 had time difference of less than 2 hours between successive elements...if so then the count is 10....if the time difference between 10th and 11th was more...then 11th wont be counted....and if the successive elements were generated by different person...then they cannot be grouped for calculating count.
so principally its like grouping successive entries which fits this criteria and dividing the table into sets (not breaking the table just grouping) and find out which set has the max count for a person.....so if 86 to 100th entry fit the criteria...then the count is 15 provided 86 to 100 are all generated by same person and if every other set had less than 10...then the output of the query should be the person which provided this max time count
I am trying to create a Group in the exported Excel Workbook using OpenXML.
My source data table looks like this:
Row State Product Sales
1 NY A 100
2 NY A 200
3 NY B 300
4 CA A 100
5 CA A 200
6 CA B 300
I would like to create an outline by State and then Product with a subtotal on each group
I tried
ws.Outline.SummaryVLocation = XLOutlineSummaryVLocation.Top;
ws.Rows(1, 3).Group(); // Create an outline (level 2) for rows 1-4
ws.Rows(4, 6).Group();
But it's not giving me what I want, and I don't see an option to add the subtotals.
How can I achieve this?
The code example in the documentation which you use is either outdated or just wrong.
If you want to group rows 2 to 4 you need to use the code ws.Rows(3, 4).Group(); (see picture). This is consistent with Excel itself, there you have to select only rows 3 and 4 before clicking the group button to get the same result.
When you try to group rows 1 to 3 like in your code you group them all under row 0 which leads to errors since there is no row 0.
You can control this behaviour to some extend with the XLOutlineSummaryVLocation property. If you use Bottom instead of top you use the top two rows to group rows 2 to 4: ws.Rows(2, 3).Group();
With all this said two more points:
You need to use Excel row numbers not the numbers in your column "Row".
All this grouping and collapsing is only for display purposes. To sum up the sales numbers you have to use the subtotal functions in Excel (which I find rather confusing and unhelpful in this case) or add columns and results directly in C#.
Using this code should lead to your desired result (see picture below):
ws.Outline.SummaryVLocation = XLOutlineSummaryVLocation.Top;
ws.Cell(1, 5).SetValue("Product subtotals");
ws.Cell(1, 6).SetValue("State subtotals");
ws.Rows(3, 4).Group(); // group rows 2 to 4 (state NY), outline level 1
ws.Cell(2, 6).SetFormulaA1("=SUM(D2:D4)"); // subtotal for all NY sales
ws.Row(3).Group(); // group rows 2 and 3 (product A), outline level 2
ws.Cell(2, 5).SetFormulaA1("=SUM(D2:D3)"); // subtotal for all NY, product A sales
ws.Cell(4, 5).SetFormulaA1("=SUM(D4)"); // subtotal for all NY, product B sales
ws.Rows(6, 7).Group(); // group rows 5 to 7 (state CA), outline level 1
ws.Row(6).Group(); // group rows 5 and 6 (product A), outline level 2
ws.CollapseRows(2); // collapse group level 2 (products)
I have a report in a tablix with 1 to x column groups. In the totals for each row, is it possible to refer to only say the last 2 groups? The requirement is to add a column that shows the most recent % change between the last 2 groups.
Jan Feb Mar |Total Recent % Change
5 10 5 20 50%
1 3 6 10 200%
I ended up using the technique I learned in this post: Creating conditional total rows in SSRS
Basically, I added another field with the ranking/order of the Groups in descending order (so that the most recent group is #1).
Example of the expression: (Note that I have custom code to do the divide so that I don't get divide by zero errors.)
=code.divide(sum(iif(fields!Last_ORDER.Value=1,fields!Num_Apps_Submitted.Value,0)),sum(iif(fields!Last_ORDER.Value=2,fields!Num_Apps_Submitted.Value,0)))