How are we doing THIS year versus the same period LAST year? 
This is a common need in Business Intelligence. In fact, many design specifications for reports make use of a comparison between a selected period (year, quarter, etc) up to a certain date (for example November 15th, 2016) and a summary of the same information for the previous year (i.e. up to November 15th, 2015). 
This post shows how to implement this in DeepSee.

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Hi all,

I have a dashboard which shows the growth of the months compared with the month from the last year.

The way I found to develop that, it was with a kpi. So, I overrode the %OnLoadKPI method with two mdx:

SELECT NON EMPTY [DataD].[H1].[MothYear].Members ON ROWS, [Measures].[CountVisits] ON COLUMNS FROM SubjectAtendimento %FILTER [DataD].[H1].[Year].&[2016]

SELECT NON EMPTY [DataD].[H1].[MonthYear].Members ON ROWS, [Measures].[CountVisits] ON COLUMNS FROM SubjectAtendimento %FILTER [DataD].[H1].[Year].&[2015]

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Hi-

I am trying to figure out how to compare two dimension values in a MDX query such that records where two dimension values are the same will be filtered out.

To test this, I have modified the HoleFoods cube in SAMPLES namespace to have a new dimension called RandomRegion

I want to create a MDX query where the [Outlet].[H1].[Region] value is not equal to the [RandomRegion].[H1].[RandomRegion] value.

Here's the query I need to add the filter to:

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Let's say I have a persistent class Sales.
I need to create a report that shows the amount of sales for each branch.
By simply using the class Sales for the source of the cube, I can show what I want with one little exception - the branches that did not have any sales are not shown.
Is there a way around that that does not involve creating a whole new table just for this cube or using a Data connector (they have horrible documentation and I am unable to figure out how to use them properly)?

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I need to create a KPI similar to the  DeepSee.Model.KPIs.DemoTrendLines kpi in Samples.  This kpi supports a scorecard widget with a trend line.  It shows patient counts by city with a trend line of the count of patients over a decade.  What I want is to show the trend line based on the average allergy score ([Measures].[Avg Test Score]).  A pivot table query that shows the data I would want to base the trend line on is:

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Question
Ashok S · Nov 30, 2016
Accessing Deepsee plugin in MDX

Dear All,

From my web page, i am passing filter values to mdx query.

when mdx executes, i am getting Error #5001: Invalid member expression: empty name(2).

when i try the same in samples namespace (patient cube). I got the same error.

Below is my sample MDX from patients cube.

SELECT 
NON EMPTY %KPI("PluginDemo","HighScoreCount",,"%CONTEXT") 
ON 1 
FROM [PATIENTS] 
%FILTER %OR([HOMED].[H1].[ZIP].&[32000])

Result: 0   This works fine.

 

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Question
Derrek Kegler · Mar 29, 2017
Dollar Ranges

How to setup dollar ranges to get the number of patient accounts. So, I want to capture the number of patient accounts based on the original balance of:
0 to 499
500 to 999
1000 to 2499
5000 to 9999
10000 to 24999
25000 to 49999
50000 to 74000
75000 to 99999

=100000

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In DeepSee, having a customer account cube. The cube includes a time dimension AccountCreationDate.

How do you create a calculated measure to get the total number of accounts from the beginning to a certain date in abscissa ?

I tried many things including this:
AGGREGATE(%TIMERANGE([AccountCreationDate].[H1].[MonthYear].&[190001],[AccountCreationDate].[H1].[MonthYear].CURRENTMEMBER) ,[Measures].[%Count])

But I don't get the right result because the date in abscissa creates a filter on the first date.

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Hi!
I am working on a project and I am facing a weird problem. I have created an MDX using Analyzer. This MDX executes very fast. I am trying to automate its execution with %DeepSee.ResultSet and the query never returns:

Set tSC = oMDX.%PrepareMDX(tMDX)
Quit:$System.Status.IsError(tSC)

Set tSC = oMDX.%Execute()
Quit:$System.Status.IsError(tSC)

What could be causing %Execute() to take so long to run while Analyzer is responding fast?

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I currently have an MDX query/calculated measure as per the below:

 
[DaysOnListRange].[H1].[DaysOnListRange].&[Days 91 - 180]+ [DaysOnListRange].[H1].[DaysOnListRange].&[Days 181 - 365]+
[DaysOnListRange].[H1].[DaysOnListRange].&[Days 365+]

however it currently doesn't sum when there is a blank in the data.
How can I amend this query to include empty cells/only sum cells with data?

I've tried using nonempty but it doesn't appear to work in this context

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Hi!

Sometimes I need to filter the widget on a dashboard from a different cube. And I face the following problem:

Widget A refers to a query from Cube A and I want to filter Widget B from Widget B.

Widget's B pivot refers to Cube B, and which has different dimensions for the same data.

E.g. cube A has the dimension Author and the Cube B has the dimension Member for the same data. So  there is no way to filter such a widget B from the widget A.

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Hi, Community!

I’m sure you are using Developer Community analytics built with InterSystems Analytics technology DeepSee:

You can find DC analytics n InterSystems->Analytics menu.

DC Analytics shows interactive dashboards on key figures of DC entities: Posts, Comments, and Members. 

Since the last week, this analytics project is available for everyone with source code and data on DC Github!

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I want to have a generic PercentOfAll measure that can be used for any dimension of the cube. This PercentOfAll should act like Count, but instead of showing the number of rows in a cell, it will show the percentage  (100*number of rows for that member/all rows) .It should not matter what dimension is being viewed. Ex

There are a total of 100 rows in the source class.

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The DeepSee Shell best Practices Series - Execute an MDX query in the DeepSee Shell with/without  results cache

This cache is different from cache reset. Cache reset clears everything in the namespace but “cache off” only clears the cache in ^DeepSee.Cache.Results and ^DeepSee.Cache.Axis global node for the corresponding cube. The difference is quite smaller in the case as below, but in some cases it can be a big difference.

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