I am working in Tableau and trying to create a formula that will return me the value of each customer that walks into a store by dividing Net Sales / Traffic. When I try to combine the two separate formulas, it gives me the following error: Cannot mix aggregate and non-aggregate arguments with this function. The two functions I created that I'm trying to divide are:
SOT = (SUM([Sales Net])-SUM([Sales Gcard Net]))/SUM([Traffic Perday]) and SOT Goal
When I look at it in Tableau, it's stating that SOT is an aggregate function. How do I work around this to be able to get
SOT / SOT Goal
Aggregate variables are values that are calculated in the view, and depend on the level of aggregation in Tableau. e.g. sum(Sales) will show different values in Tableau if it’s next to a Region dimension, or if it’s next to a Category dimension.
In order to avoid the errors you can use many solutions. My favorite is indeed LOD expressions. In your view, though I do not have required sample data and therefore, I cannot try my hands on different possibilities here, I suggest that this should work-
SOT = ({SUM([Sales Net])}-{SUM([Sales Gcard Net])})/{SUM([Traffic Perday])}
Do remember that this solution will over-ride your filters and if you are using filters you have to add all those to Context.
EDIT
While trying different possibilities remember these things...
{SUM([Sales])} will sum the sales over entire data and {} i.e. curly braces wrapped around the sum function will cause to return the value as non-aggregate. In other words, this will work as LOD and if you'll add this field to view, the sum of entire sales will be shown against each row.
{FIXED [DIMENSION NAME] : sum([Sales])} will sum sales separately for each Dimension value. Fixed statement (LOD) again returns the value as non-aggregate value. if you'll add this field to view, the sum of entire sales for that dimension will be shown against each dimension.
Related
On one sheet, I have account code and in the cell next to it, I need to look up the account code on the next sheet to average the cost excluding those cells that are zero in col. b from the average calculation.
The answer for London should be: £496.33 but having tried various sumifs / countifs I cannot get it to work.
You probably need COUNTIFS which -- similar to the SUMIFS you are already using -- allows to define multiple critera and ranges.
So, if the column R contains the values, you want to build the average upon, and the column H in the respective row must equal $B$28 to be included in the sum, the respective COUNTIFS looks as follows
=SUMIFS('ESL Info'!$R:$R,'ESL Info'!H:H,$B$28)/COUNTIFS('ESL Info'!$H:$H,$B$28, 'ESL Info'!$R:$R, "<>0")
ie additionally to the value in the H-column to equal B28 it also requires the value R-column (ie the actual number you are summing up) to be different from 0
You could also add the same criteria 'ESL Info'!$R:$R, "<>0" to your SUMIFS, but that isn't necessary, because a 0 doesn't provide anything to you sum, thus it doesn't matter if it's included in the sum or not ...
And depending on the Excel version you are using, you may even have the AVERAGEIFS function available, which does exactly what you want
=AVERAGEIFS('ESL Info'!$R:$R,'ESL Info'!$H:$H;$B$28,'ESL Info'!$R:$R,"<>0")
i would like to calculate the average of values of each "main" column, as shown in the picture (named as bundling column). Each bundling(main) column has 1 to N "sub columns" (which are values for a certain datetime). The bundling itself is variable, it changes for different filters.
How can i reference to these sub columns to get the sum/count and average of these? I thought of using the "Window average" function but i don't have an idea how to define the start/end offset parameters. Not sure if window average is the correct option.
Thank you very much
A level of detail (LOD) calculation will allow you to control at what level the aggregation occurs.
{INCLUDE [Agg(Bundling)]: AVG([Agg(Error Select)]}
I have two filters for WeekNumber and Employee (name). I also have a column that shows the SUM of hours the employee has worked. Let us call it SumHours.
What I want to do is to specify the employees who have overworked, which is
if the number of weekly hours is more than 38.
If the condition applies I'd like to highlight them by adding a background color to their row.
Adding the above filter to the entire table is not a problem. What I want to do is for this filter to appear only if (1) one week and (2) one employee have been selected. Because otherwise the calculated field will highlight the employee if they have overworked in average.
How can I create a condition in my calculated field so that a condition is checked in two different places? I have found the SIZE() function but then we should also select the option Compute Using... to assign it to a specific filter. But apparently one cannot do that to two filters.
If I understand your setup correctly, I think a level-of-detail calculation might do the trick. This is pseudo-code, you will need to adjust for your dimension names. With LOD, you are getting the value of the hours worked per employee and week, regardless of which dimensions you have in your rows or columns.
if {FIXED Employee, WeekNumber : sum(HoursWorked)} > 38 then "Highlight" end
Then add this calculated field on the color marks card.
More about level-of-detail calcs can be found in Tableau's online help.
I've a problem to calculate weighted standard deviation. Here's the formula I used:
sum([Weight]*(([Variable]-[Mean Score - Variable])^2))
/
SUM([Weight])
But there's a error pop up message "Cannot mix aggregrate and non-aggregrate"
I wonder what's wrong with my formula?
Thanks
I am assuming Variable and Weight are explicit fields in your dataset, while [Mean Score] is a calculated field you defined in Tableau.
[Mean Score] is an aggregate calculation; Variable is not. You can check this by dragging [Mean Score] to any shelf in Tableau, and note that it is show within the prefix AGG(). Note that you can't select the form of aggregation (SUM, MIN, AVG) to apply in that case, because the aggregation function is defined within that calculation.
You can't mix aggregate and record level calculations directly. Record level calculations are evaluated once for each individual data row. Aggregate calculations are evaluated once for each block of data rows.
The dimensions used in your worksheet determine which data rows are grouped together into blocks (partitioning the data). Analogous to the fields that follow the keyword GROUP BY in SQL select statement. As with SQL, the other fields referenced must be aggregated somehow such as via a SUM(), MIN(), MAX() or other call. Tableau calls those fields measures.
The most straightforward solution is to revise your definition of [Mean Score] to make it a Level Of Detail (LOD) calc instead of an aggregate calc.
That will allow you to essentially first compute the mean score separately, and then reference that result in your record level calculation. You will have to decide among 3 different ways for determining the dimensions for your LOD calc. See the online help for more info on LOD calcs.
For example, try replacing [Mean Score] with { include : [Mean Score] }
My requirement is to get the second max date available in report and filter the data set on this.
I tried something like this:
datediff('day',dt,max(dt))=1
Referred to this link
any help?
You're going to need Tableau 9.0 for this. Basically because any calculation you do on Tableau depends on the level of detail you have on the worksheet (the dimensions you put in there). So datediff('day',dt,max(dt))=1 won't work. First because you're mixing aggregated fields (max(dt)) with non-aggreagated (dt). Second, because the aggregation depends on the dimensions in the workfield.
But Tableau 9.0 has a new awesome feature, called Level of Detail calculations. It allows you to perform calculations in the level of detail you choose, depending not on the dimensions on the sheet. It is also calculated BEFORE any calculation on the worksheet (just after context filters).
Now to the answer. First I'll figure out what is the max(dt). Let's call it max_dt
{ FIXED : MAX(dt) }
This will calculated the maximum of dt in all your database
Now to get the second max, you can go like this:
{ FIXED : MAX(IF dt != max_dt
THEN dt
END)
}
This will calculated the maximum of dt, ignoring those who are equal to max_dt (that is the true max(dt)). Therefore, the second max.
Take a look on those LOD calculations. They were just released, I'm having tons of fun with them right now
If the view has date dimension
The easy way to do this,is to create a calculated Last()=1
then filter off the records that evaluate to TRUE