Dear Folks,

I have recently studied deepsee and developed few dashboards needed for our web app users. I am trying to embed them in our existing web app which uses angular with delegated user access. I need to embed the native IRIS dashboard into it. ( I can't use Highcharts or any other js tools). 

How do I setup the dashboards to work with delegated authentication (Without providing access to management portal or other parts) ? Also should I use the default csp/{Namespace}/_DeepSee.UserPortal.DashboardViewer.zen? or any other web application URL ?

Thanks

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When creating pivots in DeepSee, there is the ability to group date dimensions by Day, Week, Month, Quarter, Year.  For some of our reporting the Week option is desired.  However the display looks like the image shown below.  Notice the "YYYYW##" formatting.

Is there any ability within DeepSee to modify the display of grouped week dates?  E.g. instead of 2020W14 it could be 03/30/2020-04/05-2020, or even just the start or end date, etc.

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Episode 17 of Data Points features a roundtable conversation with Carmen Logue, Benjamin De Boe, and Thomas Dyar about the Analytics & AI area of the InterSystems technology stack. Learn from these product experts about the various technologies and partnerships that exist within the Analytics & AI space at InterSystems, how some customers use these tools, and what might be coming in the future.

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Is there a way to add/substract from a pivot variable?

I have this MDX:

SELECT
  NON EMPTY [DateOfSale].[Actual].[YearSold].&[$variable.Year] ON 0,
  NON EMPTY [Product].[P1].[Product Name].Members ON 1
FROM [HOLEFOODS]

And with pivot variable Year equal to, say, 2016 it works:

 

Now I want to add previous year  first with one pivot variable and one explicit reference. It also works:

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Article
Evgeniy Potapov · Jan 14 1m read
Real Webserver Logs Dataset

I'm happy to share with the community a web server log dataset from our longtime customer, an operating company.

Their webserver operates on Apache webserver and contains data which can be useful to analyse a load and search engines activity.

After installing the project, you will get the data for a few months that can show a typical load and activity of clients, robots and also you can see how it depends on day of week, holidays and time of a day.

The Cube is also included in package.

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