I am trying to calculate average weighted value for each group item in my report. I used all of the suggestions at this link, but all of them give me the following error:
Warning 1 [rsAggregateOfMixedDataTypes] The Value expression for the
textrun ‘textbox134.Paragraphs[0].TextRuns[0]’ uses an aggregate
function on data of varying data types. Aggregate functions other
than First, Last, Previous, Count, and CountDistinct can only
aggregate data of a single data type.
Any suggestion for the best way to calculate weighted average. My latest attempt is this:
=iif(sum(iif(Fields!weight.Value is nothing,0,Fields!weight.Value))= 0, 0, sum(iif((Fields!myData.Value * Fields!weight.Value) is nothing,0,(Fields!myData.Value * Fields!weight.Value)))/ sum(Fields!weight.Value))
Thanks
According to the exeption description , I suspect that your field isn't set with any dataset and therefor you can calculate aggregate functions , if you using a single text box - try to use a table (use single column and delete the rows so aventually you will have a Header cell), and make sure in the table properties that you linked the right dataset to it.
About your expression, try this one insted:
=iif(sum(iif(IsNothing(Fields!weight.Value),0,Fields!weight.Value))= 0, 0, sum(iif(IsNothing(Fields!myData.Value * Fields!weight.Value),0,(Fields!myData.Value * Fields!weight.Value)))/ sum(Fields!weight.Value))
Related
I am trying to add a column to a collection by multiplying the 0.9 to existing database column recycling. but I get a run time error.
I tried to multiply 0.9 direction in the function but it is showing error, so I created the class and multiplied it there yet no use. what could be the problem?
Your error message is telling you what the problem is: your database query is using GROUP BY in an invalid way.
It doesn't make sense to group by one column and then select other columns (you've selected all columns in your case); what values would they contain, since you haven't grouped by them as well (and get one row returned per group)? You either have to group by all the columns you're selecting for, and/or use aggregates such as SUM for the non-grouped columns.
Perhaps you meant to ORDER BY that column (orderBy(dt.recycling.asc()) if ascending order in QueryDSL format), or to select all rows with a particular value of that column (where(dt.recycling.eq(55)) for example)?
I am trying to filter a table visualization of all of my data by looking to see if a Study Number contains Activity A. If a Study Number contains Activity A then I want to filter for all rows containing those Study Numbers even if the Activity is not A. See mock data below. In my real data set I have ~55,000 rows.
I have created a calculated to return Study Numbers if Activity= A but I am not sure where to go from there. Thanks for any help.
If(UniqueConcatenate([Activity]) OVER ([Study Number])~="A","Y","N")
Will give you this resulting column that you can then filter on (or you can use the formula as a Data Limiting Expression:
Either I am the first person to ever need to display percentages in Tableau or I do not know what to search for! I highly suspect it is the latter...
I believe what I am attempting to ask is how to make a calculated non-aggregated field by dividing by an aggregated number. Although I would prefer just to be able to display the percentages instead of a whole number.
This is how I would do it in Excel:
The data that already exists is Column A and B. In Tableau these would be non-aggregated. What I need to do in Tableau is to generate what is column C (also non-aggregated) because it does not exist in my data. In excel, all I did to get the aggregate number (total) of column B was:
sum(B1:B4)
And for the column C:
=B1/$B$5
But I can't seem to do this at all in Tableau. When I try to use the same syntax, I get an error message: "Cannot mix aggregate and non-aggregate arguments with this function."
Instead of having a calculated field, you can use a Quick Table Calculation on the column.
Right-click the pill of your data > Quick Table Calculation > Percent of Total. This will show the percentages instead. If you want to keep both, just duplicate column b first and then add the table calculation to the new column.
How can I get the second highest value from a field in a calculated field. In excel I would use the large function but there doesn't seem to be a tableau equivalent. I would prefer to do the calculation in Tableau instead of using a pass through function.
Here are two alternatives.
First, if you want the calculation to happen on the data source side, You could write a LOD calculation to find the max of your field, name it myMax
{fixed [My_Dimension1], [My_Dimension2] : max(myField)}
Whether you use fixed, include or exclude scope for the LOD calc depends on how you want to scope your analysis.
Then write a row level that returns the field value if it is less than the LOD calc, and implicitly null otherwise, name myFieldExceptMax
if myField < myMax then myField end
The max of that row level calc would be your answer.
max(myFieldExceptMax)
Alternatively, if you want to operate on the client (tableau) side to find the penultimate aggregated query result, you can use on of the ranking table calc functions, and the filter to only show the second ranking result.
I'm trying to annualise my data in tableau, but get an error in the Calculated Field.
"Cannot mix aggregate and non-aggregate arguments to function"
my formula is
sum(profit)/month(selected date) *12
How do I get an integer for the current month? That seems to be the problem, it tries to aggregate the month as well.
Thanks.
Short answer: wrap the call to month in a call to min() -- which works well if you have MONTH([selected date]) on the visualization as a dimension.
There are three types of calculated fields in Tableau:
row level calculations which act on a single data row. They can read from values of other fields in the same row and return a single value per row.
aggregate calculations which act on a partition or block of data rows. They can reference the result of aggregating the values for a field across the entire partition, using a an aggregate function like SUM() or MIN().
table calculations which act on an entire table of aggregated results.
You can't mix and match. Everything in a calculated field must be all at one level or another -- either all referenced fields must use aggregation functions (for aggregate calculated fields) or no referenced fields must use aggregation functions (for data row level calculated fields).
Hence the error message you saw.
Sometimes you know that all values for a field will be the same in a partition based on your visualization, so the aggregation function seems unnecessary. But Tableau still requires you to be explicit about how to turn a block of values into a single value, because the calculation must be defined even when the visualization is partitioned differently. In these cases, you can use min(), max(), avg(), or perhaps attr() because they all return the same value for a list of identical values.
The first two types are typically executed on the server (i.e. they are implemented by Tableau emitting SQL to send to the database server). Table calculations are executed by Tableau on the client site to post-process the results from the database server.
Table calcs are the most complicated type, but can be very useful. Explaining them is a post for another day.