I'm trying to sum only group HourTarget totals.
7:00 8:00 HourTarget
Line 1 2715 1008 3224
A 2307 1008 3224
B 408 0 3224
Line 2 2308 2432 2656
A 2308 2432 2656
Line 3 2318 1622 2800
A 345 1258 2800
B 762 0 2800
C 1211 364 2800
I'm trying to achieve 8680 as a result of sum of HourTarget. But I'm getting 17504. It is because HourTarget in a database table is record for every single product running on this line, but the target is related to the line and not the product. How can I sum only the Group total?
Something like this is not working:
=Sum(Max(Fields!HourTarget.Value))
Since you are on SSRS 2008R2, you can use the aggregate of aggregate functionality that was added in that version.
You were on the right track; you just need to add a Scope value to your expression.
I'm using a version of your data, and have constructed a simple tablix:
Note that I have created a group called Line.
To get the Sum of the Max HourTarget column, use the expression:
=Sum(Max(Fields!HourTarget.Value, "Line"))
This works out the Max for each Line group, then takes the Sum of these.
Now we have your required value:
Prior to SSRS 2008R2 there was no easy way to do this; typically one would add an extra column to the DataSet with the pre-aggregated value to display in the report.
( Sum(CDbl(Fields!Field_1.Value)) is working .
Related
I have a SQL Server Report Builder tablix report that evaluates sales activity over time.
Rows by company, columns are grouped by date. Something like this:
2015 2016 2017
Company1 10 12 1
Company2 6 5 0
Company3 8 10 7
(The report also expands columns into months)
I would like to add a column, or color a background, calculated based on the average of each year's totals. For example, Company1 averages 7.6/year if I include 2017. I would like to be able to say that 2015 was 131% of average, 2016 was 157% of average, and 2017 is 13% of average. Bonus points if I can exclude the current year from the average.
The result might look something like this:
2015 2016 2017
Company1 10 (131%) 12 (157%) 1 (7.6%)
Company2 6 (%%) 5 (%%) 0 (%%)
Company3 8 (%%) 10 (%%) 7 (%%)
Since the source data has one sale per row, and the tablix is what's creating the grouped count by date, I can't seem to just run an average, which just gives me "1", due to the fact that I'm counting on a count column. The source data looks something like this:
CompanyName Date SalesRep Amt Count
Company1, 1/1/2015, salesrepname, 50000, 1
Company1, 2/1/2015, salesrepname, 20000, 1
Company1, 3/1/2015, salesrepname, 50000, 1
Company1, 4/1/2015, salesrepname, 10000, 1
Company1, 5/1/2015, salesrepname, 5000, 1
...
How do I go about getting the average of each year?
If you were just grouping on Company and Year you could override the scope of your aggregates with a group name. However, SSRS doesn't have a way to specify combinations of groups. So in your case you will need to make those sub-calculations available another way. It is usually best to do that in the SQL. You can either add a subquery to your existing query (preferred) or add an additional dataset. If you use a separate dataset you'll also have to match up the values with a Lookup function.
If you try to come up with an elaborate workaround like custom code or referencing textboxes it is going to become difficult to maintain and will be very inefficient.
wouldn't a formula like this work?
=sum(Fields!count.Value)/
(sum(Fields!count.Value,"Year")/countdistinct(Fields!CompanyName.Value,"Year"))
assuming your column group name is Year.
Is there a way in SSRS to have an additional row within your row group, to look at a different column group than the rest of the row group
Let's say I have STATES, SALES, MONTH, and BUCKET_MONTH as my dataset fields BUCKET_MONTH is already calculated for me, based off of the MONTH. I want to show something like this:
SAMPLE DATA LIKE THIS FOR FLORIDA (and other months but BUCKET_MONTH only matters for florida let's pretend)
STATE MONTH SALES BUCKET_MONTH
FL JAN 50 FEB
FL FEB 125 FEB
FL MAR 100 MAY
FL APR 0 MAY
FL MAY 100 MAY
SSRS MATRIX MIGHT LOOK LIKE THIS: ?
| 2 groups ?
| MONTH
| BUCKET_MONTH (I can hide this header)
-----------------------------------
1 col group|
STATE | SALES
BUCKET | SALES <-- this row is only visibile for FL which I know how to do
EXPECTED RESULTS WOULD LOOK LIKE THIS
JAN FEB MAR APR MAY JUN JUL
---------------------------------------------------------------------
CA 100 300 150
FL 50 125 100 0 100
FL BUCKET 175 200 <-- BUCKET_MONTH**
MA 0 200 250 50
BUCKET_MONTH in ds shows FEB for the rows with Jan,Feb MONTH, and shows MAY for Mar,Apr, May MONTH
Is there a way to do this in SSRS? Where one of the rows looks at a different column group to establish what column to put the SUM of SALES in?
Much appreciation in advance!
You have to add BUCKET_MONTH as parent column group in your matrix.
Add BUCKET_MONTH in the Column Groups pane, then delete the created row in the matrix selecting Delete groups only option. Now add MONTH as child group in column groups pane.
Add STATE in rows group pane and add a row for bucket total.
Use this expression for BUCKET TOTAL:
=IIF(
Fields!BUCKET_MONTH.Value=Fields!MONTH.Value,
SUM(Fields!SALES.Value,"BUCKET_MONTH"),
Nothing
)
It should produce:
UPDATE: Expression updated taking in account that MONTH and BUCKET_MONTH fields are actually dates.
=IIF(
UCASE(format(Fields!BUCKET_MONTH.Value,"MMMM yy"))=
UCASE(format(Fields!MONTH.Value,"MMMM yy")),
SUM(Fields!SALES.Value,"BUCKET_MONTH"),
Nothing
)
Let me know if this helps.
I try to put a 5 point avg in my chart. I add a trendline, but it looks like this:
And then I created a new series to calculate there the avg. and this looks like this:
but I would like to show this in a 5 point average. How can I do this?
This answer is based on my experience with Excel, not reporting services, but it is probably the same problem.
Your chart is probably a scatter plot rather than a line chart (note: this is Excel terminology). A scatter plot does not have an intrinsic ordering in the data. A line chart does.
The solution (for a scatter plot) is simply to sort the data by the x-values. The same will probably work for you. If you are pulling the data from a database, then order by can accomplish this. Otherwise, you can sort the data in the application.
Using this post as a starting point you can see that it is possible to calculate a moving average for a chart using the SQL query that pulls the data from the database.
For example, using this table in my database called mySalesTable
myDate sales myDate sales myDate sales
---------- ------ ---------- ------ ---------- ------
01/01/2015 456 16/01/2015 546 31/01/2015 658
02/01/2015 487 17/01/2015 12 01/02/2015 121
03/01/2015 245 18/01/2015 62 02/02/2015 654
04/01/2015 812 19/01/2015 516 03/02/2015 261
05/01/2015 333 20/01/2015 1 04/02/2015 892
06/01/2015 449 21/01/2015 65 05/02/2015 982
07/01/2015 827 22/01/2015 15 06/02/2015 218
08/01/2015 569 23/01/2015 656 07/02/2015 212
09/01/2015 538 24/01/2015 25 08/02/2015 312
10/01/2015 455 25/01/2015 549 09/02/2015 21
11/01/2015 458 26/01/2015 261
12/01/2015 542 27/01/2015 21
13/01/2015 549 28/01/2015 21
14/01/2015 432 29/01/2015 61
15/01/2015 685 30/01/2015 321
You can pull out this data, and create a Moving average based on the last 5 dates by using the following query for your dataset
SELECT mst.myDate, mst.sales, avg(mst_past.sales) AS moving_average
FROM mySalesTable mst
JOIN mySalesTable as mst_past
ON mst_past.myDate
BETWEEN DATEADD(D, -4, mst.myDate) AND mst.myDate
GROUP BY mst.myDate, mst.sales
ORDER BY mst.myDate ASC
This is effectively joining a sub-table for each row consisting of the previous 4 dates and the current date, and finds the average for these dates, outputting that as the column moving_average
You can then chart both these fields as normal, to give the following output (with the data table so you and see the actual calculated moving average)
Hopefully this will help you. Please let me know if you require further assistance
I have a table with below data
Month Savings Insurance
Jan-10 1000 8978
Feb-10 3432 6756
Mar-10 55 898
Apr-10 56767 6566
May-10 675 545
Jun-10 6456 9898
Jul-10 67435 4564
Aug-10 876 9878
Sep-10 565 3454
I need to create a chart, with Months against Deduction(Savings and Insurance). Need to pass 3 parameters.
1. From Month
2. To Month
3. Deductions(should be either Savings or Insurance)
Please advise.
Thank you!
You can set the x-axis min and max values to your #frommonth and #tomonth parameter values. Then use an expression to set the value in your chart to savings or insurance. You can do something like
=iif(#deductions = "Insurance",Fields!Insurance.Value, Fields!Savings.Value)
I am working on a ssrs report with column grouping. the followin is my scenario.
Matrix 1:
ID 2012 2013
1 20 40
1 30 50
Total 50 90
Matrix 2:
ID 2012 2013
1 60 70
1 60 80
Total 120 150
I need the sum of matrix1 and matrix2 like below:
ID 2012 2013
1 170 240
But I got the result like :
ID 2012 2013
1 410 410
I have applied column grouping in all the 3 matrices and gave the expression to get sum for matrix 3 as: =Sum(Fields!amount1.Value, "dsmatrix1") + Sum(Fields!Tamount1.Value, "dsmatrix2")
Please help me to get a solution for this.
Thanks!
I think I know what's going on. Correct me if I'm wrong.
Based on what I'm seeing, I'm guessing that Matrix 1 and Matrix 2 only have three fields each, an ID field, an amount field (being "amount1" or "Tamount1"), and a year field.
Your column grouping is manipulating the display of the data to show all values broken out by year. This works fine when looking at data from a single dataset. However, your formula is specifying that the sum of everything in the Amount1 field of dsmatrix1 and the Tamount1 field of dsmatrix2 should be added. This does not take into account the column grouping. Your expression is essentially taking all of the values from both datasets and adding them together.
Not knowing more about your query structure or how the data is filtered, my best guess is that you need another SQL dataset. In this case, you would take the queries from your two previous datasets and union them with the "Union All" command. Note that you will want to use Union All and not just Union. More on that here: What is the difference between UNION and UNION ALL?
Your end result should look something like this:
--This will be your dsmatrix1 query copied and pasted
Select ...
Union All
--This will be your dsmatrix2 query copied and pasted
Select ...
--Place one single Order by clause at the bottom
Order by ...
Note: for your two queries to be unioned properly, you'll need to make sure that each have the same number of fields, each with the same data types. Then you can point your third matrix to the new dataset.
Hope that helps!