May I know if it is possible to show the Dimension instead of Measure using the KPI object on Qlik Sense.
I would like to display the [Days], which is the Day Name, where the Benefit is the highest.
I am trying to do it with the below expression, but could not obtain my desired result.
If([Total Benefit by Day] = Max([Total Benefit by Day]), [Days])
I loaded the data with two columns where [Days] shows the day name (Mon, Tue,...) and [Total Benefit By Day] shows the corresponding Benefit of the day name.
I want the KPI to show only the [Days] having the Max([Total Benefit by Day]), e.g. "Fri". Is it possible?
You need to look at using the Aggr function in QlikSense.
IF(AGGR(RANK(max([Total Benefit by Day]),4),Days)=1,Days)
Related
am trying to get Previous Sum(of someField) based on a variable value which is an Id.
This is not a table, Im doing a KPI
On Qlik you would do something like:
SUM({<Id={"$(=Max(vVariable),-1))"}>} someField)
But I can not achieve it on Tableau, off course is due to my lack of knowledge, unfortunatelly time is tinking at work and wanted to see if anyone has any input!
Thanks
Assuming you may use a sample input like the Superstore (using sales as metric), this could be what you're looking for:
In red you can see your "variable" which allows you to select a value and in blue you'll find the unique row for the previous value (Order ID sorted).
The first thing you need to to do is creating a parameter based on all the Order ID values:
Then things start to get a bit complicated if you're not familiar with LOD (Level of details) and the order of execution in Tableau, especially for filters.
Assuming that you can get some information on your own (otherwise, feel free to ask), the first thing you nee to to do is to "pre-calculate" the equivalent of a table having a rowe for each Order ID, in which you also have the previous Order ID value.
You can achive this combining Fixed (LOD) and Lookup function, creating this Calculated Field "Lookup Order ID":
LOOKUP( max({ FIXED [Order ID] : MAX([Order ID])}),1)
This is actually just a calculated field that you want to "fix" because you need the filter to act after you have made that previous calculus, and then you shift your data by 1 row backward.
Once you've done that, you just nee to create another calculated field in order to test your parametric value, and it could be something like this "check param":
[Lookup Order ID] = [Order ID param]
Moving this calculated field in the filter section and selecting just "true" values, you'll get that unique rows like in the initial image, showing the previous value (blue) related to the one you select in the parameter drop-down menu (red).
i have this tableau workbook
basically this calculated day different between each user_id and each transaction for each user_id with this calculation
DATEDIFF('day',LOOKUP(MIN([Created At]),-1), MIN([Created At]))
that pull filters its so filter the conditions of users (We can ignore this)
and date_rante filters its for calculated day different between date range on parameter
with this calculated
lookup(min(([Created At])),0) >= [START_DATE] and
lookup(min(([Created At])),0) <= [END_DATE]
so from the frequency i want to find out the Max of different day, with this calculated
MAX({FIXED [User Id]:DATEDIFF('day',LOOKUP(MIN([Created At]),-1), MIN([Created At]))})
but it says
level of detail expressions cannot contain table calculations or the attr function
so i used this solution https://kb.tableau.com/articles/howto/finding-the-dimension-member-with-the-highest-measure-value
and from that solution, i applied with my codes into like this
MAX({FIXED [User Id]:DATEDIFF('day',INT(LOOKUP(MIN([Created At]),-1)), INT(MIN([Created At])))})
but it turns to error datediff being called with string,integer,integer
based on #Anil solution, i tried to create it, and idk why the results was like this
new picture
Presently, as far as my knowledge of tableau is, tableau doesn't allow to calculate LOD calcs or further aggregations on table calcs. To find the transactions where the user took most/max time (in days) in subsequent order- You can do this workaround..
Let's assume your datediff calc field is named as CF1. create another calc field lets say CF2 with following calculation
rank_unique([CF1])
EDIT:
Change table calcs on this field similar to CF1. putting a filter on this field will give you the dates with max(time diff) as shown in screenshot.
table calculation options on first (datediff field)
table calculation options on second field (rank_unique)
I have added third field on colors
(Please note no field used in filters just to highlight)
As a data analyst, I would like to see the report in a pivot table automatically for the current month, so that I can take a look at it and don't have to change the date filter manually.
This is the formula to show the first day of the current month. (Which is the criteria I need, first of the current month)
=EOMONTH(today(),-1)+1
It works when I put this formula in any cell.
But when I put it in the pivot "filter by condition" option it doesn't work.
This is what I tried.
Text is exactly =EOMONTH(today(),-1)+1 (In formula box)
The date is exactly =EOMONTH(today(),-1)+1 (In formula box)
Here a screenshot of the options
Any help will be greatly appreciated.
I've never had great luck with the pivot table filter criteria in Sheets, I typically filter the data first if it's more advanced or use aggregating functions. In the Sheets pivot tables are better for quick analysis than dashboards.
There's probably a few ways to do it, but one of the easier ways would be to duplicate the data tab, clear the data and use a filter function to retrieve data. Update the Pivot table data source to the new tab. This will always only be the current month's data.
Basically you filter the data before the pivot table, with the [filter function][1].
=Filter(data , [date col]>=EOMONTH(today(),-1)+1 , [date col]< date(year(today()), month(today())+1,1)
You can also add a month column to the data and then filter on that column, however each month you would need to update the month filter in the pivot table.
=date(year([date cell]),Month([date cell]),1)
If you're using it for a 'dashboard' of sorts, I would generally recommend to create it yourself with aggregating formulas (sumifs, countifs, ect) and then you can use the more complex filters.
try custom formula:
=MONTH(A2)=MONTH(TODAY())
where A2 is first cell of column containing valid dates
You can try to Filter by a Custom Formula:
=month(DatePurchase)=month(TODAY())
Where DatePurchase is the Field Name.
For some reason when I try to group a field created by a fixed level of detail groups containing more then one item disappear from the view.
The basic set up is that there are 'unique event IDs' which are RCIPID which have one or two dates associated with them (some events have two separate dates that are non-linear). There is a 'follow up' date which is tied only to the event location and not the RCIPID, but each RCIPID has only one location.
I've joined the 'follow up' data to the main file based on the location. The below computations [NTC Submission Date] is the date of the event. [Live Date] is the date of the followup. The computations correctly give the number of days after the event that the follow up happened.
However when I try to do a unique count of NTC Date (Or RCIPID) and then group the computations any group with more then one day disappears.
FP - Straight Diff
DATEDIFF('day', [NTC Submission Date], [Livedate])
FP - Remove Negatives
IF [FP - Straight Diff]<0
Then DateDiff('day',[NTC Submission Date],TODAY())
ELSE
[FP - Straight Diff]
END
FP - Days after NTC
{FIXED [Rcip Id], [NTC Submission Date]: MIN([FP - Remove Negatives])}
It works when it is not grouped together
But as soon as I group it all of the groups with more then one day disappear.
Any and all help is greatly appreciated. I think it has /something/ to do with being a dimension, but I honestly don't know what.
The goal is a bar chart similar to the second one, but with the groups "4-5 Days", "6-10 Days", "11-20 Days", and "Over 20 Days" visible. Those values do exist in the data and if I change the view to show the day instead of a count it shows the proper calculations:
EDIT: Using a calculated field instead of groups did not work. Trying a concatenated RCIPID and NTC Submission Date also did not have an effect.
I'm not a huge fan of the group by feature in Tableau as it has give me some unexpected behavior in the past.
There are a few approaches I would recommend trying. One is spelled out well here by using the bin functionality built into tableau. https://community.tableau.com/thread/188952
It sounds like you have some irregular bin sizes you're looking for, in which case you could create a separate calculated field with a series if else statements based on the range of [FP - Days after NTC] and assign a string to each 'grouping'
Lastly, I've not done an LOD of this style with two dimensions "FP - Days after NTC". You only appear to have COUNTD(submission days) on the view shelf. I would verify that you are getting the results you are expecting. And if not, you could create a separate calculated field that is a concatenation of [Rcip Id] and [NTC Submission Date] on which to based your LOD calculation, and then you can use COUNTD on that new field.
EDIT: It was suggested to try using a computed field instead of a group and/or concatenate RCIPID and NTC Date. I tried both and neither affected the result.
In Tableau a Level of Detail Expression allows you to create a calculated variable that is affected by none or only some of the view level filters.
I have a view that has 2 filters based on the same column -- a YEAR(Date) filter and a MONTH(Date) filter.
If my Level of Detail Expression is:
{EXCLUDE [Date mdy]: SUM([count.Attrition])}
that won't work because it would remove both date filters. I only want to remove the MONTH date filter.
However, this
{EXCLUDE [MONTH(Date mdy)]: SUM([count.Attrition])}
is an invalid expression and this:
{EXCLUDE MONTH([Date mdy]): SUM([count.Attrition])}
is allegedly valid but doesn't actually work.
Hack-R, how about using FIXED, I think that should help solve this:
{FIXED [Year] : SUM([count.Attrition]) }
Using FIXED is basically forcing Tableau to calculate aggregate measure at specific level - in this case on Year
[Year] is just a simple calculated field which returns Year value.
YEAR([Date mdy])
Creating a dedicated calculated field is probably not really necessary in Tableau 10, but it's just my personal preference to keep things organized.
You might be wonder why EXCLUDE didn't work - I think the main use-case is different with INCLUDE/EXCLUDE and probably best explained in this (a bit lengthly) article.
Hope this helps.