I have some samples I need to take.
In order to create a good identifier/serial number for the samples, I want it to be a product of its characteristics.
For example, if the sample was taken from India and the temperature was 40 degrees then I would click dropdowns in the form to create those two entries and then a serial number would be spat out in the form "Ind40".
Assuming that your form is bound to a table, you can create a calculated column in the table that concatenates the values from other columns into a single value.
For instance, create a new column and give it a name (for example, SerialNbr). Then for Data Type select "Calculated". An expression builder window will appear:
Enter the columns you'd like to concatenate and separate them with &. Here is an example of how the expression could look:
Left([Country],3) & [Temperature]
This expression takes the first 3 chars from the Country column and combines it with the value from Temperature column to create the value in column SerialNbr. The calculated column will automatically update when values are entered into the other fields. I'd also suggest adding another value to the calculated expression to help avoid duplicates, such as date/time of submission.
Related
I am trying to create the derived column based on the condition that met the value and trying to do the summation of multiple matching column values dynamically. So I am using reduce function in ADF derived column mapping data flow. But the column is not getting created even the transformation is correct.
Columns from source
Derived column logic
Derived column data preview without the new columns as per logic
I could see only the fields from source but not the derived column fields. If I use only the array($$) I could see the fields getting created.
Derived column data preview with logic only array($$)
How to get the derived column with the summation of all the fields matching the condition?
We are getting data of 48 weeks forecast and the data to be prepared on monthly basis.
eg: Input data
Output data:
JAN
----
506 -- This is for first record i.e. (94 + 105 + 109 + 103 + 95)
The problem is that the array($$) in the reduce function has only one element, so that the reduce function can not accumulate the content of the matching columns correctly.
You can solve this by using two derived columns and a data flow parameter as follows:
Create derived columns with pattern matching for each month-week you did it before, but put the reference $$ into the value field, instead of the reduce(...) function.
This will create derived columns like jan0, jan1, etc. containing the copy of the original values. For example Week 0 (1 Jan - 7 Jan) => 0jan with value 95.
This step gives you a predefined set of column names for each week, which you can use to summarize the values with specific column names.
Define Data Flow parameters for each month containing the month-week column names in a string array, like this:
ColNamesJan=['0jan' ,'1jan', etc.] ColNamesFeb=['0feb' ,'1feb', etc.] and so on.
You will use these column names in a reduce function to summarize the month-week columns to monthly column in the next step.
Create a derived column for each month, which will contain the monthly totals, and use the following reduce function to sum the weekly values:
reduce(array(byNames($ColNamesJan)), 0, #acc + toInteger(toString(#item)),#result)
Replace the parameter name accordingly.
I was able to summarize the columns dynamically with the above solution.
Please let me know if you need more information (e.g. screenshots) to reproduce the solution.
Update -- Here are the screenshots from my test environment.
Data source (data preview):
Derived columns with pattern matching (settings)
Derived columns with pattern matching (data preview)
Data flow parameter:
Derived column for monthly sum (settings):
Derived column for monthly sum (data preview):
I have a problem with Tableau.
I have a Dataset with some rows and some columns. I want to write a IFELSE structure where
The IF condition is that the Value of special field(fixed by a row and a column) is equal to the header of a column (it is every time equal to one name(header) of the different columns).
So to summarize: one value is every time equal to the name of a column and to find the column shall be the if-structure
Does someone know if there is a function to call the name (header) of a column? I didn't find it
Here is an small example, in which the Calculated_function choose the right price according to the Barcode. Everything in the first raw, is the header_name of the column below. enter image description here
Best regards
Jonas
You can work like this.
I created a sample dataset as given by you
Step-1: Connected With data in tableau. Clicked all columns having price (4 here), pivoted them so that they look like this..
Step_2: Create calculated_field like this
if [Barcode] = [Barcode_c]
then [Price] END
Step3: Filtered out null values from calculatedField and got a view like this which can be tweaked as per liking.
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:
I have a table in tableau with say 4 columns (Say Employee ID, Name, Address, Email).
I want to provide the users an option to select single/multiple columns from a drop down list (assume in the drop down list we have columns headers, Customfield1, Customfield2.....,Customfield10) which would be added to the table as a separate columns.
Say for Instance if the user selects CustomField1, CustomField2, CustomField3 from the drop-down list then the table should have in total of 7 columns (4 Emp fields + 3 Custom Fields)
Though I stated a simple requirement, my idea was to extrapolate that to something complex.
I think some version of this could be done, albeit in a hacky way. What you're looking for is 'Dynamic Parameters.' They don't technically officially exist in the product, but can be created with the combination of parameter and calculated field.
Here is a link to a method on such creation.
The idea here would be to re-order columns in a custom manner. Each calculated field would have to have its own logic for which dimension it was to display when a user selected a parameter. (ie: With parameter selection A Column 1 goes to [Name] and Column 2 goes to [Address], and with parameter selection B Column 1 goes to [Address] and Column 2 goes to [Name].) The caveat here is that each potential layout would need to have the same number of columns - there is not a way to add columns dynamically. Consider that each column is represented here with a calculated field.
Good luck on it.
I have a report with multiple data-sets. Different fields from different data-sets are used in different locations of the report.
In one part of the report, I need to do a calculation using fields from two different data-sets. Is this possible within an expression?
Can I somehow reference the data-set the field is in, in the expression?
For example, I'd like to do something like this:
=Fields.Dataset1.Field / Fields.Dataset2.Field
You can achieve that by specifying the scope of you fields like this:
=First(Fields!fieldName_A.Value, "Dataset1") / First(Fields!fieldName_B.Value, "Dataset2")
Assuming A is 10 and B is 2 and they are of type numeric then you will have the result of 5 when the report renders.
When you are in the expression builder you can choose the Category: Datasets, your desired dataset highlighted under Item: and then double click the desired field under Value: and it will appear in your expression string with the scope added.
Using same logic you can concatenate two fields like so:
=First(Fields!fieldName_A.Value, "Dataset1") & “ “ & First(Fields!fieldName_B.Value, "Dataset2")
As PerPlexSystem writes, asuming you only want to compare the first value from a dataset with values from another dataset, you can use the First function.
However, if you want to compare the values of each row from one dataset with with the values from each row of another dataset, then you will need to use a subreport - see here for further details.
Another option is to use a parameter as a variable. This is helpful if you want to create a calculated field in one of the datasets. This is best applied when the parameter value comes from a dataset with a single record.