Showing posts with label chart. Show all posts
Showing posts with label chart. Show all posts

Thursday, March 29, 2012

Direction of Chart Axis Labels

Sometimes the chart axis labels are vertical.
Sometimes the chart axis labels are horizontal.
How can I control this?
Thank you in advance.
JerryDid you see this related thread?
http://msdn.microsoft.com/newsgroups/default.aspx?dg=microsoft.public.sqlserver.reportingsvcs&mid=3f2c6661-5754-4d85-bd41-bf5fdc97a5db&sloc=en-us
In RS 2000, the orientation is determined automatically based on the
available space. Providing additional manual and automatic label modes is
under consideration for a future release.
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"Jerry Nixon" <jerrynixon@.gmail.com> wrote in message
news:36f558cf.0410120839.b124e0@.posting.google.com...
> Sometimes the chart axis labels are vertical.
> Sometimes the chart axis labels are horizontal.
> How can I control this?
> Thank you in advance.
> Jerry

Thursday, March 22, 2012

Dimension Design using attributes?

I would like to design a dimension as part of a cube to enable all survey results to be displayed in a single excel chart.

I have 10 questions each with answer choices (A, B, C, D, NO Response)

The excel chart would have a bar for each question, and each bar would be composed of 4 colors representing either A,B,C or D.

I can generate 10 dimensions (one for each question), but I can't get it to fit in the same chart. I would like to create one dimension encapsulating the entire survey..by possibly using attributes.

Is there a bettwer way to do this...using excel and as2005?

Any help or advise would be appreciated!

The "Survey" section of this paper on many-to-many dimensional modelling discusses how to incorporate the answers to multiple questions of a survey in a single dimension:

http://www.sqlbi.eu/Portals/0/Downloads/M2M%20Revolution%201.0.93.pdf

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Survey

The survey scenario is a common example of a more general case where you have a lot of attributes associated to a case (one customer, one product, and so on) and you want to normalize the model because you do not want to change the UDM each time you add a new attribute to data (as adding a new dimension or changing an existing one). One common scenario is a questionnaire consisting of questions that have predefined answers with both simple and multiple choices.

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