Earn the coveted Fabric Analytics Engineer certification. 100% off your exam for a limited time only!
Searched everywhere but couldn't find something similar to this.
I got a table as below (a glimpse of it):
customDimensions is the column that pulls the data in JSON format. However, there are some empty cells (as seen below) in the column
I tried to Parse the whole column into JSON but it is returning me errors in the blank columns as below:
Therefore I tried an alternative way of first replacing those blank cells in the customDimensions to a generic JSON format input as {"Type":"Unhandled"} and then Parsed the column into JSON. This successfully got rid of the errors, but it is returning error while refreshing the data!
So, How do I handle this in a different way? I want to replace those blank cells as either "null" or any keyword, as long as I do not miss the count of those blank cells.
Hi @MissMintox
Since you could Parse the rows in column without empty into JSON, but it returns error for the empty row, you can first parsing a json column, then handle the error by "Replace errors".
Reference how to handle error in power bi
Best Regards
maggie
You can use the error-handler and "wrap" the parsing of the JSON into:
try <ParseJson> otherwise []
This returns an empty record for the empty fields.
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
User | Count |
---|---|
124 | |
108 | |
99 | |
62 | |
62 |
User | Count |
---|---|
137 | |
115 | |
102 | |
71 | |
61 |