Visualize improved and useful source data.
If you want the dimension to be available throughout the dataset, in the main menu, go to Resource > Manage added data sources > Edit > + Add a Field.
If you need the dimension only at the table or graph level, click + Create New Field at the end of the Fields picker, or, in the selected dimension area, click + Add dimension.
In this case, we recommend building a new dimension at a data-source level.
Use the function
CASE and regular expressions to group all Facebook and (if needed) Instagram sources into one.
CASE WHEN REGEXP_MATCH(Source, '.facebook.') THEN 'facebook.com' WHEN REGEXP_MATCH(Source, '.instagram.') THEN 'facebook.com' ELSE Source END
For Facebook, you can create a unique source name to group all variations tracked by Google Analytics as a custom dimension.
If you’re creating a visualization that displays only source data (not medium), you can separate Google data into organic and paid traffic:
CASEWHEN REGEXP_MATCH(Source, '.facebook.') THEN 'facebook'WHEN REGEXP_MATCH(Source, '.instagram.') THEN 'instagram'WHEN Source = 't.co' THEN 'twitter'WHEN Source = 'google' AND Medium = 'cpc' THEN 'google ads'WHEN Source = 'google' AND Medium = 'organic' THEN 'google organic'ELSE SourceEND