I'm using SSRS 2008 R2 to do some reports in my project, In one of my report i want to display the median of login duration along with average total etc. and the users are grouped by region and country and I want the median of that group.
I have tried following link
http://blogs.msdn.com/b/robertbruckner/archive/2008/07/20/using-group-variables-in-reporting-services-2008-for-custom-aggregation.aspx
but here I'm getting only the median of entire login duration not for the grouped items while using this so all the medians are same. it should be different for different groups by region or country.
I had the same issue, and the problem is that you can only use the vbCode only on one set of data, since there is a global shared variable "values".
To tackle this issue, I used the following query inside a subreport for each
Median:
Select Median.*, (Convert (decimal, Median.bh) + Convert(decimal, Median.th))/2 as MedainResult
from(
sELECT
(SELECT max(finalGrade)
from
( SELECT top 50 percent finalGrade
FROM GradeTable
WHERE (TermCode = 201410) (CRN = 11735)
order by finalGrade) as BottomHalf) as bh
,
(select min(finalGrade)
from
( SELECT top 50 percent finalGrade
FROM GradeTable
WHERE (TermCode = 201410) (CRN = 11735)
order by finalGrade desc
) as TopHalf
) as th
) as Median
Related
I am trying to find a way to create a table where it shows each customer profile (71 in total) their top item bought per time frame (10 in total), what that item is, and the time frame that was most popular. Whenever I run this query it shows the top items for a time frame but it shows all the customers as null. I also need a way to display the customer name which is also accessed through the id_table. I'm lost so any direction would be greatly appreciated! I only have read permissions on this DB.
select distinct id_table.name as product_name, pb.recruitment_round, count(pb.purchased), st.cust_dbf_id as cust_profile
from product_bought pb
join id_table
on id_table.dbf_id = pb.dbf_id
left join shopper_table st
on st.cust_dbf_id = id_table.dbf_id
where pb.date >= '2022-01-01'
and pb.date <= '2022-01-05'
and pb.shopping_time = 4
group by id_table."name", pb.recruitment_round, pb.cust_dbf_id
order by count(pb.purchased) desc, pb.recruitment_round
limit 1;
Expected: a return of st.cust_dbf_id.
Received: Null values
I have two measures Time_Quantity and Time2_Quality. These measures refer to two different timelines, Time and Time2. But as an output I want to have a query which shows me the two measures on one single timeline. I guess I have to combine the time and time2 timeline, but how? This is what i have so far:
WITH
MEMBER [Time_Quantity] AS
(
[Measures].[Quantity]
,[Measures].[Time-Quantity]
,[Time Dates].[Time Year-Quarter-Month-Date]
)
MEMBER [Time2_Quality] AS
(
[Measures].[Quality]
,[Measures].[Time2-Quantity]
,[Time2 Dates].[Time2 Year-Quarter-Month-Date]
)
SELECT
{
Time_Quantity
,Time2_Quality
} ON COLUMNS
,Timeline ON ROWS // **<<how to combine Time and Time2 Timeline in one single Timeline?**
FROM [Cube];
I think that you are looking for something like below. It might need extra development because it took 13sec.
WITH MEMBER [Measures].[link_sales] AS
(LinkMember([Date].[Calendar].CURRENTMEMBER, [Ship Date].[Calendar]),[Measures].[Internet Sales Amount])
MEMBER [Measures].[link_tax] AS
(LinkMember([Date].[Calendar].CURRENTMEMBER, [Ship Date].[Calendar]),[Measures].[Internet Tax Amount])
SELECT
{[Measures].[link_sales],[Measures].[link_tax]} ON COLUMNS,
NON EMPTY [Date].[Calendar].MEMBERS ON ROWS
FROM [Adventure Works]
Result (time: 13sec)
link_sales link_tax
All Periods 29358677.2207 2348694.2301
CY 2005 3105587.3292 248446.991
H2 CY 2005 3105587.3292 248446.991
Q3 CY 2005 1349136.7362 107930.9407
July 2005 349490.1938 27959.2159
I am trying to calculate the average of a column in Tableau, except the problem is I am trying to use a single date value (based on filter) from another data source to only calculate the average where the exam date is <= the filtered date value from the other source.
Note: Parameters will not work for me here, since new date values are being added constantly to the set.
I have tried many different approaches, but the simplest was trying to use a calculated field that pulls in the filtered exam date from the other data source.
It successfully can pull the filtered date, but the formula does not work as expected. 2 versions of the calculation are below:
IF DATE(ATTR([Exam Date])) <= DATE(ATTR([Averages (Tableau Test Scores)].[Updated])) THEN AVG([Raw Score]) END
IF DATEDIFF('day', DATE(ATTR([Exam Date])), DATE(ATTR([Averages (Tableau Test Scores)].[Updated]))) > 1 THEN AVG([Raw Score]) END
Basically, I am looking for the equivalent of this in SQL Server:
SELECT AVG([Raw Score]) WHERE ExamDate <= (Filtered Exam Date)
Below a workbook that shows an example of what I am trying to accomplish. Currently it returns all blanks, likely due to the many-to-one comparison I am trying to use in my calculation.
Any feedback is greatly appreciated!
Tableau Test Exam Workbook
I was able to solve this by using Custom SQL to join the tables together and calculate the average based on my conditions, to get the column results I wanted.
Would still be great to have this ability directly in Tableau, but whatever gets the job done.
Edit:
SELECT
[AcademicYear]
,[Discipline]
--Get the number of student takers
,COUNT([Id]) AS [Students (N)]
--Get the average of the Raw Score
,CAST(AVG(RawScore) AS DECIMAL(10,2)) AS [School Mean]
--Get the number of failures based on an "adjusted score" column
,COUNT([AdjustedScore] < 70 THEN 1 END) AS [School Failures]
--This is the column used as the cutoff point for including scores
,[Average_Update].[Updated]
FROM [dbo].[Average] [Average]
FULL OUTER JOIN [dbo].[Average_Update] [Average_Update] ON ([Average_Update].[Id] = [Average].UpdateDateId)
--The meat of joining data for accurate calculations
FULL OUTER JOIN (
SELECT DISTINCT S.[Id], S.[LastName], S.[FirstName], S.[ExamDate], S.[RawScoreStandard], S.[RawScorePercent], S.[AdjustedScore], S.[Subject], P.[Id] AS PeriodId
FROM [StudentScore] S
FULL OUTER JOIN
(
--Get only the 1st attempt
SELECT DISTINCT [NBOMEId], S2.[Subject], MIN([ExamDate]) AS ExamDate
FROM [StudentScore] S2
GROUP BY [NBOMEId],S2.[Subject]
) B
ON S.[NBOMEId] = B.[NBOMEId] AND S.[Subject] = B.[Subject] AND S.[ExamDate] = B.[ExamDate]
--Group in "Exam Periods" based on the list of periods w/ start & end dates in another table.
FULL OUTER JOIN [ExamPeriod] P
ON S.[ExamDate] = P.PeriodStart AND S.[ExamDate] <= P.PeriodEnd
WHERE S.[Subject] = B.[Subject]
GROUP BY P.[Id], S.[Subject], S.[ExamDate], S.[RawScoreStandard], S.[RawScorePercent], S.[AdjustedScore], S.[NBOMEId], S.[NBOMELastName], S.[NBOMEFirstName], S.[SecondYrTake]) [StudentScore]
ON
([StudentScore].PeriodId = [Average_Update].ExamPeriodId
AND [StudentScore].Subject = [Average].Subject
AND [StudentScore].[ExamDate] <= [Average_Update].[Updated])
--End meat
--Joins to pull in relevant data for normalized tables
FULL OUTER JOIN [dbo].[Student] [Student] ON ([StudentScore].[NBOMEId] = [Student].[NBOMEId])
INNER JOIN [dbo].[ExamPeriod] [ExamPeriod] ON ([Average_Update].ExamPeriodId = [ExamPeriod].[Id])
INNER JOIN [dbo].[AcademicYear] [AcademicYear] ON ([ExamPeriod].[AcademicYearId] = [AcademicYear].[Id])
--This will pull only the latest update entry for every academic year.
WHERE [Updated] IN (
SELECT DISTINCT MAX([Updated]) AS MaxDate
FROM [Average_Update]
GROUP BY[ExamPeriodId])
GROUP BY [AcademicYear].[AcademicYearText], [Average].[Subject], [Average_Update].[Updated],
ORDER BY [AcademicYear].[AcademicYearText], [Average_Update].[Updated], [Average].[Subject]
I couldn't download your file to test with your data, but try reversing the order of taking the average ie
average(IF DATE(ATTR([Exam Date])) <= DATE(ATTR([Averages (Tableau Test Scores)].[Updated]) then [Raw Score]) END)
as written, I believe you'll be averaging the data before returning it from the if statement, whereas you want to return the data, then average it.
I have a dataset for each record it has a CompanyID, RevenueMonth, RevenueYear, Revenue
When I create the report, I am grouping each CompanyID and showing their monthly revenue for a given year.
But in a given year, not all companies have any revenues for a particular month.
Example:
A sample record would look like:
CompanyID, RevenueMonth, RevenueYear, Revenue
1,05,2013,5.00
1,08,2013,6.00
1,03,2013,3.00
End Result, I would like my report to look like this with CompanyID 1.
Company ID|01|02|03|04|05|06|07|08|09|10|11|12
1 0.00|0.00|3.00|0.00|5.00|0.00|0.00|6.00|0.00|0.00|0.00|0.00
In my current Report, it will only fill column headings with March (03), May (05) and August (08).
Company ID|03|05|08
1 3.00|5.00|6.00
How do I get my Report to add the missing months for the year?
I hope my questions is clear.
Database level
Since you're only returning a year at a time, you can create a calendar table and add this to your result set:
Keeping it as simple as possible, with the date table coming from a CTE:
with months as -- get required year/months
(
select RevenueYear = 2013
, RevenueMonth = 1
union all
select RevenueYear = 2013
, RevenueMonth = RevenueMonth + 1
from months
where RevenueMonth < 12
)
select CompanyID = coalesce(r.CompanyID, c.companyID)
, RevenueMonth = coalesce(r.RevenueMonth, m.RevenueMonth)
, RevenueYear = coalesce(r.RevenueYear, m.RevenueYear)
, Revenue = isnull(r.Revenue, 0.0)
from months m
cross join (select distinct CompanyID from records) c -- make sure all companies included
left join records r on m.RevenueYear = r.RevenueYear
and m.RevenueMonth = r.RevenueMonth
SQL Fiddle with demo.
This will return a year/month for each company in the result set.
In the long run it would be better to move from a CTE to a permanent calendar table in the database.
You can then implement this in the report using a matrix style tablix.
Report level
If you'd prefer to do this at the report level, you can set up a table-style tablix with 12 permanent columns, one for each month, then populate the month revenue cells with expressions like:
=Sum(IIf(Fields!RevenueMonth.Value = 2, Fields!Revenue.Value, Nothing)
For the February column.
This would work with your existing dataset without any database code changes.
I am using SQL 2008 and trying to process the data I have in a table in batches, however, there is a catch. The data is broken into groups and, as I do my processing, I have to make sure that a group will always be contained within a batch or, in other words, that the group will never be split across different batches. It's assumed that the batch size will always be much larger than the group size. Here is the setup to illustrate what I mean (the code is using Jeff Moden's data generation logic: http://www.sqlservercentral.com/articles/Data+Generation/87901)
DECLARE #NumberOfRows INT = 1000,
#StartValue INT = 1,
#EndValue INT = 500,
#Range INT
SET #Range = #EndValue - #StartValue + 1
IF OBJECT_ID('tempdb..#SomeTestTable','U') IS NOT NULL
DROP TABLE #SomeTestTable;
SELECT TOP (#NumberOfRows)
GroupID = ABS(CHECKSUM(NEWID())) % #Range + #StartValue
INTO #SomeTestTable
FROM sys.all_columns ac1
CROSS JOIN sys.all_columns ac2
This will create a table with about 435 groups of records containing between 1 and 7 records in each. Now, let's say I want to process these records in batches of 100 records per batch. How can I make sure that my GroupID's don't get split between different batches? I am fine if each batch is not exactly 100 records, it could be a little more or a little less.
I appreciate any suggestions!
This will result in slightly smaller batches than 100 entries, it'll remove all groups that aren't entirely in the selection;
WITH cte AS (SELECT TOP 100 * FROM (
SELECT GroupID, ROW_NUMBER() OVER (PARTITION BY GroupID ORDER BY GroupID) r
FROM #SomeTestTable) a
ORDER BY GroupID, r DESC)
SELECT c1.GroupID FROM cte c1
JOIN cte c2
ON c1.GroupID = c2.GroupID
AND c2.r = 1
It'll select the groups with the lowest GroupID's, limited to 100 entries into a common table expression along with the row number, then it'll use the row number to throw away any groups that aren't entirely in the selection (row number 1 needs to be in the selection for the group to be, since the row number is ordered descending before cutting with TOP).