I am searching to sum values by lines, those lines containing both date and numerical values. When I began, I used the sum function, simply thinking that date would be put out of this calculation. WRONG ! I had a results with weird sum because OO calc considered the date as a numerical value.
So I tried a sumif but same problem. Look at my example (https://www.dropbox.com/s/zsmm3cbhf1uk2hp/Sample.ods?dl=0), both date are considered as numerical (est.num = is.numerical)
How to detect whether the cell contains a numerical value or a date ?
Thanks in advance
Version : 6.4.7.2
Build ID : 1:6.4.7-0ubuntu0.20.04.6
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I am learning Power BI Desktop. I have a project already loaded for which I have created a
pie chart.
As you can see, the data is currently divided into two years: 2022 and 2021.
I also have data for previous years that I want to include in the chart. Unfortunately, none of these years has a high number. So I want to group them all into an "Other" category.
I've already tried using the RANKX function as described here (where I copied and pasted the formula from the comment and replaced the field name with my own) and here (where I went through the article step by step using my own field names). I used the exact format shown in both the comment and the article:
Rank = RANKX('Table','Table'[Percent],,DESC,Dense)
(Table is the table name I am using and Percent is the column I am trying to rank.)
When I added the new column to a table, though, PowerBI automatically gave me a sum calculation. This calculation gave me a 1 in each column. When I asked it not to give me a sum, it said it could not display the visual and took me back to the calculation screen.
EDIT: Thanks for your help Kevin! This is the table I tried to draw from. I am an idiot sometimes.
EDIT 2: Now I am trying to use a different field in the formula:
Rank = RANKX('FactClaimActivity','FactClaimActivity'[DirectIncurredLoss_ITD])
(This is the original field that I tried to base Percent on)
My table looks like this. (Yes, I know that 2016, 2017, 2019 and 2020 have negative values and 2014 and 2015 have $0 values. I just want to show what the data is.)
EDIT 3: This time I am also getting an error when I type in the formula, which says "A single value for column 'DirectIncurredLoss_ITD' in table 'FactClaimActivity' cannot be determined. This can happen when a measure formula refers to a column that contains many values without specifying an aggregation such as min, max, count, or sum to get a single result."
I do not understand why it wants a single result for a formula that ranks the data points based on this field. That seems like it defeats the whole purpose of the formula.
Yet when I use the formula, I get the same result as last time! This column is in the Fixed decimal number format, and it does have many different values.
EDIT: I've found the answer
New Category = IF('FactClaimActivity'[Rank]<=2,'FactClaimActivity'[LossYear],"Other")
The formula will help you get the correct result.
I am taking data from the excel where there is a column "Global" with values as whole numbers and decimal numbers. When I am importing it to Power BI, the column data type is coming as "TEXT" and hence I am unable to use it to calculate my new column which is "Local + Global / Total" since it cannot convert calculate on string which makes complete sense.
I looked it up and tried the following :
To change the column type to Whole Number / Decimal Number and it showed me an error that It cannot be converted.
I made a measure using the functions CONVERT and VALUE but in vain. It could not be converted saying a single value was expected but multiple values were provided in the latter.
How do I solve this?
EDIT
The column looks like this
Global
12345.67
43566
123.765
If it is showing error that It cannot be converted, obviously there are some garbage value in the column like - space, string or other values not a number. Please check your data first, hope you will get the issue as well.
In Power Query Editor You can select the column and change data type to Whole Number. In that case, some errors will be shown where the conversion failed to convert some value as shown below-
Here I have provided a string in the last row. Now you can check your data by filtering the column with error to check what are the actual values in the source. You can than perform some transformation to get the correct value value out of them.
You can also remove all records with error as shown below if you find those rows are with garbage value is not important for your.
I have been trying to generate a calculated column within Power BI Desktop using the MEDIAN formula to get the median age. I checked to see if there were any inconsistencies like text data or blank data within the Age column but, did not find any such instances. The error message is as follows -
Expressions that yield variant data-type cannot be used to define
calculated columns.
The data used in the analysis is hosted on data.world
Any help will be highly appreciated.
This is a pretty strange situation but I think I found the explanation on the Microsoft Community Forum.
When the underlying column is of data type Whole Number, MEDIAN function returns a variant data type because it may return a Whole Number when there is no interpolation or a Decimal Number when there is interpolation. While measures can be of variant data type, calculated columns must be of a single data type, hence the error. To force MEDIAN to always return Decimal Number, change the expression to MEDIANX(Table1, [Column2] * 1.0).
Another fix would be to convert the Age column to the decimal number type rather than the whole number type. I also found wrapping with VALUE work.
I have an Entity column with one row per entity. This table has three columns: Entity ID, a Descriptor, and a Metric. The Descriptor is a concatenation of numerous codes and I would like to see the metrics broken down by code.
I originally just split the Descriptor column into numerous rows but that led to some data relationship issues so I'd like to do it without splitting the Descriptor column.
I tried doing the following DAX formula but it resulted in an error stating "the expression contains multiple columns, but only a single column can be used in a True/False expression that is used as a table filter expression"
Desired Output Metric = CALCULATE('Metric',CONTAINSSTRING('Entity Table'[Descriptor],'Code Table'[Code]))
Ultimately I'm not even sure I need this as a column, and it may be better as a measure...
Any help would be appreciated. Thank you!
You can get around "the expression contains multiple columns, but only a single column can be used in a True/False expression that is used as a table filter expression" by using Filter within your CALCULATE.
Here it is as a created column. I used an IF because 'E' code evaluates to a blank and you wanted a 0.
Desired Output Metric = IF(CALCULATE(SUM('Entity Table'[Metric]),FILTER('Entity Table',CONTAINSSTRING('Entity Table'[Descriptor],'Code Table'[Code])))>0,CALCULATE(SUM('Entity Table'[Metric]),FILTER('Entity Table',CONTAINSSTRING('Entity Table'[Descriptor],'Code Table'[Code]))),0)
Here it is as a measure. Be careful to only use this at the Code detail level. When making a measure you need to use aggregate functions to reference your columns, so I am just doing the MIN(Code) since for any single code the Min() will always evaluate to equal that Code. If you try to use this at a higher summary level you may get some odd answers as it will only total for the MIN() code in the data set you are referencing.
Desired Output Metric = IF(CALCULATE(SUM('Entity Table'[Metric]),FILTER('Entity Table',CONTAINSSTRING('Entity Table'[Descriptor],MIN('Code Table'[Code]))))>0,CALCULATE(SUM('Entity Table'[Metric]),FILTER('Entity Table',CONTAINSSTRING('Entity Table'[Descriptor],MIN('Code Table'[Code])))),0)
I'm trying to count days between a date from the column 'completionDate' and today
The table name is 'Incidents (2)'
I have a simuler table called 'incidents' here it's working.
The code:
DaysClosed = DATEDIFF('Incidents (2)'[completionDate].[Dag];TODAY();DAY)
The error i get:
'A single value for variaton 'Dag' for column 'completionDate' in table 'Incidents (2)' cannot be determined. This can happen when a measure formula refers to a column that contains many values without specifying an aggregation such as min, max, count, or sum to get a single result.'
The error you get strongly depends on how you are evaluating your formula, that's why it might work on another table but not on this one. As #JBfreefolks pointed out correctly you are specifying a column where a scalar value is expected. That can work depending on the context you are evaluating your formula over (assuming it is a measure).
For instance, imagine a data-set with 100 rows equally divided into four categories A,B,C,D. When you create a table visual with a row for each category, each row will have 25 underlying records that will be used in any calculation added to this row (either a measure or an aggregate of any value). This means that when using a formula like datediff with a column reference, it will get 25 values for it's second argument where it expects one.
There are several ways to solve the problem depending on your desired result.
Use a measure like MAX like #JBfreefolks suggested to make sure that a single value is selected from multiple values. The measure will still be calculated over a group of records but will summarize it by taking the maximum date.
Make sure the visual you are using has something like an ID in there so it doesn't group, it displays row context. Any measure added to this visual will evaluate in row context as well.
Use a calculated column instead. They are always evaluated in row context first and their values can be aggregated in a visual later on. When using TODAY() , you probably need to refresh your report at least every day to keep the column up to date.
A more complicated way is to use an iterator like SUMX() or AVERAGEX() to force row context evaluation inside of a measure.
Good to see you solved it already, still posting as it might be helpful to others.
'Incidents (2)'[completionDate].[Dag] referencing a colomn. It is in your computation returning a table (multiple date in the evaluation context) instade of a scalar needed in DATEDIFF calculation.
You need to leverage to be sure that 'Incidents (2)'[completionDate].[Dag] is rturning a scalar value. To do that you can leverage rowcontext and then also formula like Max.