I am trying to use the drill through filter to take my user to other data related to that date. Essentially I have an overview page and I want the user to click on a date and drill through to the next page, where it will show them test scores nearest to that date.
I think I need to do two things 1) store the filter date as a variable so I can use it to find the nearest test date to the filtered date 2) create measures which ignore the filtered drill through date and can for example calculate the minimum or maximum test scores on all the tests overall.
I'm not sure if either of these options are possible but any help is greatly appreciated. TIA
Related
I am trying to create a measure which calculates the average daily revenue per customer, but only using days in a 6 months period prior to a specific date (where some type of conversion happens).
This specific date can be different for each customer.
The intention is to use the measure as a baseline for indexing daily average in the days/months/years after said conversion date.
If I put my current version of the measure in a card it works just fine (circled in green). But I will eventually have to visualize this over time as well. Thus I need the value to stay the same regardless of the row/date context in a table or timeline (circled in orange).
I suspect I need to use one of the ALL/ALLSELECTED/ALLEXCEPT filter modifiers but I can't really get anything to work.
The measure looks like this for now:
Average daily rev before conversion = CALCULATE (
AVERAGEX(
VALUES('Date'[Date]),
[HI & Acc Rev]
),
FILTER('poc vFact_SalesLine','poc vFact_SalesLine'[OrderDate_ID] IN DATESINPERIOD('Date'[Date],FIRSTNONBLANK('poc vDim_Customer'[DSE first conversion date],1),-6,MONTH)))
I've tried adding REMOVEFILTERS('Date'[Date]) just before the filtering of order dates, but that doesn't work. Gives me the exact same values as shown below.
All help is very welcome? Is my approach all wrong?
I'm using several time series panels on my dashboards, which are showing the values based on the selected time range.
Now, I want to add a gauge panel, which should show the number of payment transactions since midnight (although I know all the problems about server restarts, the feature of the rate function, etc. the gauge panel will an interesting part of my dashboard). So my query has to be independant from the selected time range of the dashboard.
I've found the variables ${__from} und ${__to} in the Grafana docs, but I'm not sure, how I can use them in a query or how to use them flexibel, e.g. getting the current daten/time as "to" and calculating "from" als midnight value.
Has anybody an idea, if this is generally possible?
Thanks in advance
Matthias
I am a new user to MicroStrategy Developer and am stuck with a task that I want to do. I have created a table visualisation and applied two filters to the visualisation via the visualisation filters:
Top 10 Rank by Volume Filter
A current month Filter
My table has the following table headings:
Region
Sales Person Name
Sales Volume
Average Sales Volume To Date
I want the table to display the Current Months values for the 1st three columns and then the last column to display the average sales volume to date (based on 2 years worth of data). However clearly Average Sales Volume is not working correctly, I am assuming this is due to the Month filter applied to the visualisation.
Being a new user to MicroStrategy, I am not sure how best to get round this? Is there a way of making the Average Sales Volume To Date metric independent of the Date filter applied to the visualisation? Or a better way to build this without applying visualisation filters?
Any hints or tips would be much appreciated.
Thanks!
I am not very sure whether this works out but you can give it a try.
Create the "Average Sales Volume To Date" metric as a level metric and set the filtering as Ignore.
I want to visualize the unique count for a field aggregated daily and weekly per day in the same sheet. But timelion aggregation affects the entire sheet instead of just a single chart.
The expression I am using to get the daily unique count is
.es(metric='cardinality:userId').bars().title('Unique users over time')
If I change the bucket range on the right to 1d, I get the correct chart. How do I create the weekly aggregation?
There is a possibility to specify the interval used for timelion expressions by specifying interval as 1d or respectively 1w in the es() function. For details, please see the docs here.
In your case this should work with the following expression:
.es(metric='cardinality:userId',interval=1w).bars().title('Unique users per week')
Be aware of the comment inside the docs, stating that this should not be used in favor of working with the interval picker. But probably this is a use case where it is okay to do it like this...
I have a percentage measure calculated in SSAS tabular and its correct.
But when i use it in a report i face the following problem (in all percentage measures).
the values under male and female (which are subgroup of saudi and non-saudi) are correct but if you look at the total under "Both sexes" it is incorrect,because it shows summation of male and female percentage, where the right thing is it shows the percentage of the saudi or non-saudi.
If i calculate the measure in SSRS in the expression fields i get it right as follows
But i want to use the measure to show the right values.
So.. can anyone help me with this i have serious issues in later reports and i just cant simply recalculate the SSAS measures in SSRS using expressions.
Note: dont mind the decimal places differences between the two pics.
Thank you.
You can change your MDX query in SSRS to return the subtotal rows then change your Textbox formulas in the body of the Report to say =Aggregate instead of =Sum. This process is described more here by Stacia. You can use manual MDX queries. Don't miss the comment at the bottom:
Romuald Coutaud March 17, 2011 at 7:52 pm Hi Stacia,
In fact, it works in query mode too in 2008R2. But, I have to admit
that the way that RS and AS work together when you want to use
aggregate function is very difficult to perfectly understand and I
have struggle very long time to make one sample report running in this
way. In query mode you need to write MDX by referencing each level of
the hierarchies from the top one to the deepest one want to display in
your report, even you don’t need to use all these ones. As an example
you have to put Year, Quarter and Month to be sure to display Month
and be able to use aggregate function.
Basically in your report =Aggregate will try to retrieve a row where Nationality is not null and Gender is null. If you get stuck please write back with the list of each field used in each group in SSRS and a screenshot of the MDX query designer.