I can't find a way to get a "snapshot" of data through a cube.
I have an inventory saved by date.
It looks like this:
My measure that shows inventory is called "Stock" and aggregation mode is "LastNonEmpty"
When I filter on a date, I always get the same result.
I understand why. But I can't find a formula for calculation measure and I'm not at ease with MDX queries.
Moreover, I correctly get a total of 8 on Week 39, but if I filter on the specific size "40", I will get a total of 1. This one is correctly excluded in total!
My aim is to have a snapshot of inventory that shows the last value including empty value and depending on other filters.
When I pick "Week 35" I want to have inventory on week 35. On week 38 I want to get an only value that exists. If I pick weeks from 35 to 38, I want the results of last week.
"week" is a hierarchy, there is detail until day under this hierarchy
Thanks for your help.
Take a look at Last Ever Non empty by Chris Webb.
Related
I am a newbie at Tableau (thought I have spent years working in R and Python), seems to be different in the way it handles things or I'm just not thinking the right way.
I have a data sources with training data (employees training and the status). The point is to build a dashboard that shows the % of training that is overdue. I have all of the logic for it, but I am stuck on something.
I have a calculated field to show me the total training due, then when I put that in a table, with a filter by year and a breakdown by month, I get the totals by month - good deal.
Now, I need to perform an year calculation (not the months, but the year based on a few different things), so my first step is I need to get the "Total Training Due" for December 2018. I have a dimension called "Due Month" which is a numeric (1,2,3,4, etc.) representing the month. So, based on what I have observed, I just need to do a little IF statement like so (keep in mind this is only for 2018 data right now):
IF [Due Month] = MAX[Due Month] THEN COUNT[Employee ID] END
I know this isn't the exact context, but it's sort of what I am looking for. So, for 2018, it would mean that, for all rows that are of month 12, I want to count those up (each row is a unique training requirement) and I want the total for the latest month in the data set. My overall goal is to create the calculation I need in a new sheet with a single calculated field (See the image below of the Excel spreadsheet and the J10 calculation). Then I can use a dashboard to combine everything. I thought about a total row at the bottom, but there isn't enough ways to change the totals to customize it to what I need. I figured I dashboard was the way to go and replicate each part it its own sheet.
I have seen so many suggestion for things like this, but not exactly this. I have tried many, but nothing that works. Here is the spreadsheet I am trying to replicate:
As you can see that calculation in J10 is kind of weird, no biggie for Excel, but I am struggling to replicate this in Tableau. Here is what I have in my Tableau so far, I'm 90% of the way there, I just need that last calculation. I have replicated the main table, and figure I'll do this J10 calc on a new sheet and just put them together on a Dahsboard. The only thing is, I want this to work when new data comes in, so I don't want to hard code any month numbers in there, I want it to be dynamic. Here is what I have on the tableau so far:
Thanks in advance!!
To get the value in Tableau that you have in F11 it's:
{FIXED [Due Year] : sum([Incomplete Overdue])}
You should be able to create that as another calculated field and then reference it, or include it directly in the Total Past Due Rate calculation.
This is an LOD calculation, the [Due Year] means that you only want the result dimensioned by the [Due Year] dimension, so you will get a different result for each year in the data source.
Thanks for this - after posting this, I was able to come up with this:
(TOTAL([Incomplete Overdue]) + SUM(IF ([Past Due]<0 AND INT([Due Month]) = {MAX(INT([Due Month]))}) THEN 1 ELSE 0 END)) / COUNT(IF INT([Due Month]) = {MAX(INT([Due Month]))} THEN [Employee ID] END)
Which works for the basic result I was looking for.
I started working on Qlikview a week back and I am working on this dashboard.
I have a particular requirement which I am not able to achieve:
So, I have a calculated dimension "Categories" added in my script which based on certain conditions tags each name as SLEEPERS,STARS,WEAKLINKS etc.
Now, I have flagged the names based on certain condition which works fine.
The issue is, I want the sum of those flags on the level of calculated dimension CATEGORIES(SLEEPERS, STARS..etc) and my month field.
I am not able to achieve it because, the flag itself is a calculated field so sum of calculated field doesn't work. I tried using aggr, function but it returns zero for all rows. I am not sure why. in the aggr function I use the sum(Aggr(Flag,MONTH,Categories))
Can someone suggest a work around for this? I have attached the screenshot of the report for better understanding of the requirement
Basically, I'm trying to calculate the total average outage hours of a worksheet I'm working with, however I'm trying to have it further broken down.
Here is a picture of the Excel Sheet:
Excel Calculations
(Not allowed to add embedded pictures yet :( - 10 reputation needed, sorry!)
Pretty much, I'm trying to calculate what the average up-time is for the month, by calculating the average downtime and then subtracting it from 100.00%
What I've got works, but I'm trying to workout whether the Outage Hours column can be scrapped, and the total can be calculated with perhaps just a larger formula.
Here is a link to the spreadsheet: https://www.dropbox.com/s/msowjndootd2hh2/Spreadsheet%20Calculations.xlsx?dl=0
Thanks in advance!
Just to clarify, you're looking for the result from the second column without having to include the second column, correct?
Since the second column is just the remaining difference (from 1.00) of the first column, then to get the result, all you have to do is take the remaining difference for the maximum overall to the total sum of the first column.
Meaning (assuming 12 months)...:
=12-SUM(B4:B15)
(Substitute 12 for however many months to be summed)
EDIT: OP is looking for =AVERAGE(B4:B15)
I need to build a named set with mdx which tells me for a whole year what which are the large records. I cannot share my data, so I'll use a sales example.
All sales reps. need to enter their sales numbers in a application and on top of that database there is a cube configured. One of the goals is to find weird sales behaviour in this cube. This would mean a sales rep that is selling 100k every year, suddenly only sells 30k a year.
I have created a dynamic set that allows me to filter on this by using a calculated member named 'qualifies'. This qualifies is defined like this. (Diff is calculated before)
CREATE MEMBER Currentcube.qualifies AS iif(abs([Diff]) > 50000, 1, NULL),DISPLAY_FOLDER = 'Check big difference';
So this check can be used to filter all the sales reps that have a difference of 50k sales.
When I add aonther filter to my cube, for example region, the 50k threshold will never be exceeded, because no body has more than 50k sales in one region. I want to make the 50K dynamic based on my where clause in my filter.
My question is, is this possible? I'm fairly new to MDX so if this is an easy question, please forgive me. I have been trying lots of different scenario's but none gave a wanted result. I have been looking online, but this specific scenario hasn't passed in my search results.
In my SSAS cube, I've several measures defined in MDX which work fine except in one type of aggregation across time periods. Some don't aggregate (and aren't meant to) but one does aggregate but gives the wrong answers. I can see why, but not what to do to prevent it.
The total highlighted in the Excel screenshot below (damn, not allowed to include an image, reverting to old-fashion table) is the simplest case of what goes wrong. In that example, 23,621 is not the grand total of 5,713 and 6,837.
Active Commitments Acquisitions Net Lost Commitments Growth in Commitments
2009 88,526 13,185 5,713 7,472
2010 92,125 10,436 6,837 3,599
Total 23,621 23,621
Active Commitments works fine. It is calculated for a point in time and should not be aggregated across time periods.
Acquisitions works fine.
[Measures].[Growth in Commitments] = ([Measures].[Active Commitments],[Date Dimension].[Fiscal Year Hierarchy].currentMember) - ([Measures].[Active Commitments],[Date Dimension].[Fiscal Year Hierarchy].prevMember)
[Measures].[Net Lost Commitments] = ([Measures].[Acquisitions] - [Measures].[Growth in Commitments])
What's happening in the screenshot is that the total of Net Lost Commitments is calculated from the total of Acquisitions (23,621) minus the total of Growth in Commitments (which is null).
Aggregation of Net Lost Commitments makes sense and works for non-time dimensions. But I want it to show null when multiple time periods are selected rather than an erroneous value. Note that this is not the same as simply disabling all aggregation on the time dimension. The aggregation of Net Lost Commitment works fine up the time hierarchy -- the screenshot shows correct values for 2009 and 2010, and if you expand to quarters or months you still get correct values. It is only when multiple time periods are selected that the aggregation fails.
So my question is how to change the definition of Net Lost Commitments so that it does not aggregate when multiple time periods are selected, but continues to aggregate across all other dimensions? For instance, is there a way of writing in MDX:
CREATE MEMBER CURRENTCUBE.[Measures].[Net Lost Commitments]
AS (iif([Date Dimension].[Fiscal Year Hierarchy].**MultipleMembersSelected**
, null
, [Measures].[Acquisitions] - [Measures].[Growth in Commitments]))
ADVthanksANCE,
Matt.
A suggestion from another source has solved this for me. I can use --
iif(iserror([Date Dimension].[Fiscal Year Hierarchy].CurrentMember),
, null
, [Measures].[Acquisitions] - [Measures].[Growth in Commitments]))
CurrentMember will return an error when multiple members have been selected.
I didn't understand much of the first part of the question, sorry...but at the end I think you ask how to detect if multiple members from a particular dimension are in use in the MDX.
You can examine either of the two axes as a string, and use that to form a true/false test. Remember you can use VBA functions in Microsoft implementations of MDX.
I suggest InStr(1, SetToStr(StrToSet("Axis(1)")), "whatever") = 0 as a way to craft the first argument of your IIF.
This gets the set of members on axis number one, converts it to a string, and looks to see if a certain string is present (it returns the position of that string within the other). Zero means not found (so it returns true). You may need to use axis zero instead, or maybe check both.
To see if multiple members from the same dimension were used, the test string above would have to be more complicated. You want to know if whatever occurs once or twice. You could test if the first occurance of the string was at the same position as the last occurance (by searching backwards); though that could also mean the string wasn't found at all:
IIF(
InStr(1, bigstring, littlestring) = InStrRev(bigstring, littlestring),
'used once',
'used twice or not at all'
)
I came across this post while researching a solution for my own issue with grand totals of calculated measures over time when filters are involved. I think you could have fixed the calculations instead of suppressing them by using dynamic sets. This worked for me.