I m very new to cube development in SSAS. I m using Microsoft BIDS 2008.
I have built a small cube, which is as mentioned below:
India Pakistan GrandTotal
Apr 6 10 16
May 5 6 11
I want to add a field called as average to be added beside Grand total
India Pakistan GrandTotal Average
Apr 6 10 16 8
May 5 6 11 5
Any inputs on this would be helpful. 5.5 in average is truncated to 5.
Thanks !!!
Create a calculated member that divides current measure by the count of members in your measure group (normally a count measure is automatically created when you add a measure group).
Truncation can be handled by the FORMAT_STRING property of that calculation or by using MDX functions.
More info on calculated members:
http://technet.microsoft.com/en-us/library/ms166568(v=sql.105).aspx
Related
New to R and new to this forum, tried searching, hope i dont embarass myself by failing to identify previous answers.
So i got my data, and i intend to do some kind of glmm's in the end but thats far away in the future, first im going to do some simple glm/lm's to learn what im doing
first about my data:
I have data sampled from 2 "general areas" on opposite sides of the country.
in these general areas there are roughly 50 trakts placed (in a grid, random staring point)
Trakts have been revisited each year for a duration of 4 years
A tract contains 16 sample plots, i intend to work on trakt-level so i use the means of the 16 sample plots for each trakt.
2x4x50 = 400 rows (actual number is 373 rows when i have removed trakts where not enough plots could be sampled due to terrain etc)
the data in my excel file is currently divided like this:
rows = trakts
Columns= the measured variable
i got 8-10 columns i want to use
short example how the data looks now:
V1 - predictor, 4 different columns
V2 - Response variable = proportional data, 1-4 columns depending on which hypothesis i end up testing,
the glmm in the end would look something like, (V2~V1+V1+V1,(area,year))
Area Year Trakt V1 V2
A 2015 1 25.165651 0
A 2015 2 11.16894652 0.1
A 2015 3 18.231 0.16
A 2014 1 3.1222 N/A
A 2014 2 6.1651 0.98
A 2014 3 8.651 1
A 2013 1 6.16416 0.16
B 2015 1 9.12312 0.44
B 2015 2 22.2131 0.17
B 2015 3 12.213 0.76
B 2014 1 1.123132 0.66
B 2014 2 0.000 0.44
B 2014 3 5.213265 0.33
B 2013 1 2.1236 0.268
How should i get started on this?
8 different files?
Nested by trakts ( do i start nesting now or later when i'm doing glmms?)
i load my data into r through the read.tables function
If i run: sapply(dataframe,class)
V1 and V2 are factors, everything else integer
if i run sapply(dataframe,mode)
everything is numeric
so finally to my actual problems, i have been trying to do normality tests (only trid shapiro so far) but i keep getting errors that imply my data is not numeric
also, when i run a normality test, do i only run one column and evaluate it before moving on to the next column or should i run several columns? the entire dataset?
should i in my case run independent normality tests for each of my areas and year?
hope it didnt end up to cluttered
best regards
I'm using ReportBuilder 2.0 / SQL Server 2008.
I have a report that uses visibility settings on the row groups which results in some row group headings being hidden, which in turn makes report totals seem incorrect. I can't change the visibility settings (for business reasons); what I'm looking for is a way to test EITHER for hidden items, OR for apparently incorrect totals. Consider the following dataset:
ItemCode SubPhaseCode SubPhase BidItem XTDPrice
1 1 Water Utility 1 5000
2 1 Water Utility 2 4000
3 2 Electrical Utility 3 75,000
4 2 Electrical Utility 3 75,000
5 2 Electrical Utility 3 100000
6 2 Electrical Utility 4 2500
7 2 Electrical Utility 4 2500
8 2 Electrical Utility 4 5064
9 2 Electrical Utility 5 3000
10 2 Electrical Utility 5 3000
11 2 Electrical Utility 5 5796
12 3 Gas Utility 6 60000
13 3 Gas Utility 6 60000
14 3 Gas Utility 6 61547
15 4 Other Utility 7 6000
16 4 Other Utility 7 7000
There are 3 Row Groups on the report, one for SubPhaseCode ("Group1"), and two for BidItem("Group2" and "DetailsGroup"):
Link to Design View Screenshot
The Row Visibility property for Group1 (SubPhaseCode) is:
=IIF(Fields!SubPhaseCode.Value = 3, true, false)
This results in the heading for the SubPhase "Gas" being hidden. This means that, when the report is run, I get something like the following:
Total 475407
Water 9000
-Utility 1 5000
-Utility 2 4000
Electrical 271860
-Utility 3 250000
-Utility 4 10064
-Utility 5 11796
-Utility 6 181547
Other 13000
-Utility 7 13000
The fact that SubPhase 3 ("Gas") is hidden results in 2 apparent errors:
1) The sum for "Electrical" (271860) appears incorrect for the 4 items below it (because there should be another row heading above "Utility 6")
2) The total of 475407 appears incorrect for the 3 groups below it (9000 + 271860 + 13000).
What I am looking for is a way to change the formatting of the headings (especially the Group Headings) if the numbers below them apparently don't add up. I understand how to implement conditional formatting and have done this for the Total. I am unclear how this could be implemented for the Row Group.
I would basically need some kind of a test, for each Row Heading, to see if the following heading would be hidden, according to the rules. This sounds to me like a "NEXT" function, which I know doesn't exist.
Other searches have indicated that I might need to add the desired data to the dataset or modify the underlying SP. Just wondering if there are any simpler solutions.
Thanks much for the help!
I'd avoid to sum the values in the SubPhase group SUM().
Try:
=SUM(IIF(Fields!SubPhaseCode.Value=3,0,Fields!XTDPrice.Value))
Let me know if this helps.
I have a 200 data files to process. I need a solution for one of the files and I would do same for the rest of the files. It is a typical daily time series problem.
My rainfall data is arranged thus: 1990 to 2011 as years, under each year are 12 months, and in front of each month are 29 or 30 or 31 days depending on the month.
My problem is to take all the days in each month and place them beneath that month and for each year. The result will be two column vectors; one for dates and one for rainfall on each day, in each month in each year.
Thanks in advance.
Asong.
my data is shaped as:
1960 1 2 3 4 5 6 4
1961 1 2 3 4 5 6 4
and I want it to be 1960
1
.
.
N
1961
1
.
.
N
etc. as a column not row form.
I got the answer using reshape(a.',1,[]).
However, one problem remains. My data contains 31 days in all months. How can I tell matlab to delete last two or three days in February and one day in April and other months which are supposed to have 30 days but have 31 in my time series?
I have a Reporting Services report which shows a bunch of KPI scores. Each KPI has it's own Row on the report and for each row we show the SUM or AVG (depending on KPI type) score for last 3 years, and then a SUM, AVG or (ideally) total YTD figure per month in the current year:
KPI 2009 2010 2011 Jan Feb Mar Apr May etc.
Bagels Eaten (Total) 100 90 70 10 20 9 13 14
Sandwiches (Cumm. YTD) 90 75 86 13 23 46 65 76
The problem I'm seeing is that the RunningValue function appears to be working across rows, instead of within the filtered column group and current row that makes up the Jan, Feb, Mar columns (monthly data, grouped by year and month, filtered on current year). So the output is not as above, instead its a fairly random figure based on all the values in the rows (I'm sure it's not random it just looks like it is).
The Column Group is called "MonthNum" and the Expression for the cell value decides which aggregation to apply based on an "AggregationType" value in the source data:
=Switch(Fields!AggregationType.Value="SUM", Sum(Fields!ScoreValue.Value),
Fields!AggregationType.Value="AVG", Avg(Fields!ScoreValue.Value),
Fields!AggregationType.Value="YTD",
RunningValue(Fields!ScoreValue.Value,Sum,"MonthNum"))
Any help much appreciated
Update:
Here is an example few rows (scores per month, per kpi) of the data set being used (formatting is a bit tricky!). Items with aggragation type 'YTD' would have the cummulative YTD expression applied, everything else would be SUM for the current month:
KpiID Title KPIOwner ScoreValue YearNum MonthNum ReportingGroupTitle ScoreType DisplayOrder DisplayPrecision UnitOfMeasure AggregationType
5 Donuts Served Donut Manager 35 2007 1 Catering Services Actual 10020 0 Number YTD
5 Donuts Served Donut Manager 42 2007 2 Catering Services Actual 10020 0 Number YTD
5 Donuts Served Donut Manager 86 2007 3 Catering Services Actual 10020 0 Number YTD
5 Donuts Served Donut Manager 14 2007 4 Catering Services Actual 10020 0 Number YTD
6 Donuts Cooked Donut Manager 45 2007 1 Catering Services Actual 10020 0 Number SUM
6 Donuts Cooked Donut Manager 48 2007 2 Catering Services Actual 10020 0 Number SUM
6 Donuts Cooked Donut Manager 93 2007 3 Catering Services Actual 10020 0 Number SUM
6 Donuts Cooked Donut Manager 32 2007 4 Catering Services Actual 10020 0 Number SUM
6 Donuts Cooked Donut Manager 18 2007 5 Catering Services Actual 10020 0 Number SUM
From what I understand from your question this is what I would do:
Assuming that when the aggregation type YTD returns the acumulated totals until (and including) the MonthNum.
Create a Matrix with two a groups on KpiID and a child group on AggregationType, and two column groups (adjacent) one on the year and one on the month (on the year group, create a filter so that you don't include the current year and on the month group exclude the values where the year is not the current one).
Then you can use the following expression, for both the year and the month group (the last will give you the YTD value for the last month in each year)
=Switch(Fields!AggregationType.Value="SUM", Sum(Fields!ScoreValue.Value),
Fields!AggregationType.Value="AVG", Avg(Fields!ScoreValue.Value),
Fields!AggregationType.Value="YTD", Last(Fields!ScoreValue.Value))
I'm building a report of case results with a parent-child grouping on the row group and single column grouping:
Parent Row Group: Location
Child Row Group: Result
Column Group: Month
Running across the report are months in the year, and running down the report are the location and the different result breakdowns for the location in the given month. Looks something like this:
Jan Feb Total
% # % # % #
Main Office
Pass ? 5 ? 6 55% 11
Fail ? 5 ? 4 45% 9
Total 10 10 20
Other Office
Pass ? 3 ? 2 25% 5
Fail ? 7 ? 8 75% 15
Total 10 10 20
I have everything working except for the percentage breakdowns as indicated by the question marks above. I can't seem to get that total (the 10 for each month/location set above) reflected into my expression caclulation. Any ideas on how to setup my groups and variables to properly render these percentages?
Here's my attempts so far:
Count(Fields!Result.Value, "dsResults") = 40
Count(Fields!Result.Value, "LocationRowGroup") = 20
Count(Fields!Result.Value, "ResultRowGroup") = 11 - (for the Main Office/January/Pass cell, which is the total for the whole year for that result)
Count(Fields!Result.Value, "MonthColumnGroup") = 20
SSRS gets the count correct on the total line right, so there must be a way to reproduce that scope within the data cells?
I sometimes work around annoying SSRS scope issues by pre-calculating my totals, subtotals and percentages. Take a look at this response (to a different post) for an example. I know it is unsatisfying, but it works: pre-calc values suggestion