Background:
I am preparng a dataset for a report.
To simplify lets say it is two measures, one Category and a time dimension.
The main Report Parameter is todays date.
I would like to see the first Measure from yesterday (Value 000) and the second measures
from the day before yesterday (Value 001). Because previous days data is not available yet for Value 001.
Lets assume 2020-04-27 is today (passed on from the Reporting Tool SSRS).
AS-IS
SELECT {[Measures].[Value 000], [Measures].[Value 001]} ON COLUMNS
, ( {[DIM Category].[Category].&[1], [DIM Category].[Category].&[2]},
[DIM Date].[Y-M-D ISO].[Date].[2020-04-27].LAG(2): [DIM Date].[Y-M-D ISO].[Date].[2020-04-27].LAG(1)
)
ON ROWS
FROM [My_Cube]
Output:
[Value 000] [Value 001]
Category 1 2020-04-25 88 16
Category 1 2020-04-26 89 (null)
Category 2 2020-04-25 90 14
Category 2 2020-04-26 92 (null)
I tried two MDX-Queries for each date and combined the Sets in the Reporting tool but I am wondering if there is a comfortable way to do that in one MDX query.
The following would be the desired output.
To-Be
Output:
[Value 000] [Value 001]
Category 1 89 16 (Value from day before, for Value 0001)
Category 2 92 14
The Date doesn't need to be shown in the output (but can be)
You can solve the issue by using calculated measures. Follwoing example is based on adventureworks . I want to rebuild your senario for Jan 23 2013
The initial query is there to show values for yesterday abd day before
with
member measures.Yesterday
as
sum([Date].[Date].currentmember.lag(1),[Measures].[Internet Sales Amount])
member measures.DayBefore
as
sum([Date].[Date].currentmember.lag(2),[Measures].[Internet Sales Amount])
select
{
[Measures].[Internet Sales Amount],measures.Yesterday ,measures.DayBefore
}
on columns,
{
([Product].[Category].[Category],[Date].[Date].&[20130120]:[Date].[Date].&[20130123])
}
on rows
from
[Adventure Works]
where [Date].[Date].&[20130123]
Result
Now lets remove the date from the rows and put it in where
with
member measures.Yesterday
as
sum([Date].[Date].currentmember.lag(1),[Measures].[Internet Sales Amount])
member measures.DayBefore
as
sum([Date].[Date].currentmember.lag(2),[Measures].[Internet Sales Amount])
select
{
[Measures].[Internet Sales Amount],measures.Yesterday ,measures.DayBefore
}
on columns,
{
([Product].[Category].[Category])
}
on rows
from
[Adventure Works]
where [Date].[Date].&[20130123]
Result
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 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
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 need some help with this issue in SSRS to find the YTD(%) for the YTD columns..
I have SSRS 2008 tablix region where the columns are State,Category,January, February, March,...,December, YTD. These columns have both the sums and the percentage values depending on the row. I need help to calculate the YTD when the column is %.
example:
State Category January February March...... YTD
MN A 200 200 0...... 400
MN B 21 12 0........ 33
MN A% 12.5 12.5 0........ ??
For A,B above, the YTD is simply adding the report items January+February+March+.... which will be 400 and 33 as shown(assuming only Jan and Feb have real values > 0).
For the row A% above(??), since this a percent column, my YTD should be the average of the non-null/non-zero columns...in this case (12.5+12.5)/2=12.5 but I am unable to find out the count of the non-null columns for each category (January, February, etc)...I have tried avg,count, sum, etc but i am not getting the correct value. If I can figure out the denomintor(which will be the count of the non-null columns in January, February,...,December), the problem will be solved as I can then do:
( Jan+Feb+March+...+Dec)/Count(Jan,Feb,Mar,..,Dec)
The Count should return me the count of the non-null/non-zero columns only so I can do the average calculation..please help.
I am not sure what you want.
If all that you want is to find out average of a row in the last column you can do this:
Make the expression of the column in which you want average like this:
Sum(Fields!Jan.Value + Fields!Feb.Value...+Fields!Dec.Value)/
Sum(IIF(IsNothing(Fields!Jan.Value),0,1) +
IIF(IsNothing(Fields!Feb.Value),0,1) +
.
.
IIF(IsNothing(Fields!Dec.Value),0,1)
)
so, in the denominator, you are doing this:
Sum(1+0+1+1+0...+0)
i.e. 1 is returned if Field is not null, otherwise 0
compliment of the day.
Based on the previous feedback received,
After creating a Ticket sales database in MS Access. I want to use a single form to Query the price of a particular ticket at a particular month and have the price displayed back in the form in a text field or label.
Below are sample tables and used query
CompanyTable
CompID CompName
A Ann
B Bahn
C Can
KK Seven
- --
TicketTable
TicketCode TicketDes
10 Two people
11 Monthly
12 Weekend
14 Daily
TicketPriceTable
ID TicketCode Price ValidFrom
1 10 $35.50 8/1/2010
2 10 $38.50 8/1/2011
3 11 $20.50 8/1/2010
4 11 $25.00 11/1/2011
5 12 $50.50 12/1/2010
6 12 $60.50 1/1/2011
7 14 $15.50 2/1/2010
8 14 $19.00 3/1/2011
9 10 $40.50 4/1/2012
Used query:
SELECT TicketPriceTable.Price
FROM TicketPriceTable
WHERE (((TicketPriceTable.ValidFrom)=[DATE01]) AND ((TicketPriceTable.TicketCode)=[TCODE01]));
In MS Access, a mini boxes pops up to enter the parameters when running the query. How can I use a single form to enter the parameters for [DATE01] and [TCODE01]. and the price displayed in the same form in a textfield (For further calculations).
Such as 'Month' field equals to input to [DATE01] parameter
'Ticket Code' equals to input for [TCODE01] parameter
Textfield equals to output of the query result (Ticket price)
If possible, I would like to use only the Month and Year in this format MM/YYYY.The day is not necessarry. How can I achieve it in MS Access?
If any question, please don't hesitate to ask
Thanks very much for your time and anticipated feedback.
You can refer to the values in the form fields by using expressions like: [Forms]![NameOfTheForm]![NameOfTheField]
Entering up to 300 different types of tickets
Answer to your comment referring to Accessing data from a ticket database, based on months in MS Access)
You can use Cartesian products to create a lot of records. If you select two tables in a query but do not join them, the result is a Cartesian product, which means that every record from one table is combined with every record from the other.
Let's add a new table called MonthTable
MonthNr MonthName
1 January
2 February
3 March
... ...
Now if you combine this table containing 12 records with your TicketTable containing 4 records, you will get a result containing 48 records
SELECT M.MonthNr, M.MonthName, T.TicketCode, T.TicketDes
FROM MonthTable M, TicketTable T
ORDER BY M.MonthNr, T.TicketCode
You get something like this
MonthNr MonthName TicketCode TicketDes
1 January 10 Two people
1 January 11 Monthly
1 January 12 Weekend
1 January 14 Daily
2 February 10 Two people
2 February 11 Monthly
2 February 12 Weekend
2 February 14 Daily
3 March 10 Two people
3 March 11 Monthly
3 March 12 Weekend
3 March 14 Daily
... ... ... ...
You can also get the price actually valid for a ticket type like this
SELECT TicketCode, Price, ActualPeriod AS ValidFrom
FROM (SELECT TicketCode, MAX(ValidFrom) AS ActualPeriod
FROM TicketPriceTable
WHERE ValidFrom <= Date
GROUP BY TicketCode) X
INNER JOIN TicketPriceTable T
ON X.TicketCode = T.TicketCode AND X.ActualPeriod=T.ValidFrom
The WHERE ValidFrom <= Date is in case that you entered future prices.
Here the subquery selects the actually valid period, i.e. the ValidFrom that applies for each TicketCode. If you find sub-selects a bit confusing, you can also store them as query in Access or as view in MySQL and base a subsequent query on them. This has the advantage that you can create them in the query designer.
Consider not creating all your 300 records physically, but just getting them dynamically from a Cartesian product.
I let you put all the pieces together now.
In Access Forms you can set the RecordSource to be a query, not only a table. This can be either the name of a stored query or a SQL statement. This allows you to have controls bound to different tables through this query.
You can also place subforms on the main form that are bound to other tables than the main form.
You can also display the result of an expression in a TextBox by setting the ControlSource to an expression by starting with an equal sign
=DLookUp("Price", "TicketPriceTable", "TicketCode=" & Me!cboTicketCode.Value)
You can set the Format of a TextBox to MM\/yyyy or use the format function
s = Format$(Now, "MM\/yyyy")