New line Delimiter for Concatenation in Prepare Recipe

dasrana

I have few columns in a table and I need to concatenate the date from all these columns into a new Column. I am using the Concatenate Column feature but I need all the values from each column in a new line under the new column. What might be a possible delimiter for this scenario. Can someone help. I have tried \n but did not help.

GCase

Dasrana,

Can you give an example of what your data looks like and what you trying to turn it into in your Prepare recipe?

Grant

dasrana

I have 5 string columns in a Dataset. I have tried to create a Prepare Recipe on this dataset to use Concatenate. I have selected all the 5 columns in the concatenate and want to load the concatenate data in a new Column but my requirement is each of string from these 5 columns should be in a new line under the new column. So I am not sure what should be a good delimiter to get a new line for each of the concatenated strings.

dasrana

Col1 Col2 New Concat Column
Hello Client Hello
Client

Here you see the New Concat Column should have strings from Col1 and Col2 but in new lines

Clément_Stenac

Hi,

This is not possible with the "concatenate" processor, but you can use a formula:

[col1, col2, col3].join("\n")

DSS will not actually display multiple lines in the explore window, and will show a special mark instead, but an export (CSV or Excel) would have it.

As usual, if your column name is not "simple" (if it contains spaces for examples), replace col by strval("my column") - don't forget the quotes.

dasrana

Thanks Clement. I did achieve that with Formula but was looking for the Concatenate to work as well. Are you from Dataiku. Any plan to put this feature?

Regards,

Rana

dasrana

Hey Clement - One other help required - can you please tell me if few of my columns in that concat has Null records, how can remove those null lines in my final concatenated value.

Thanks,

Rana

Clément_Stenac

Hi,

I am from Dataiku indeed We'll be taking good note of your feature request and we'll be adding it to our development backlog.

To filter out nulls, you must:

* Start by building the array (using [] construct)
* Filter nulls out of the array (using the "filter" function and the "isBlank" function)
* Join the array (using the "join" function)

Which means your formula will look like:

filter([col1,col2,col3], v, !isBlank(v)).join("\n")

With this result: