Rearranging Columns in GA4 Exploration – Any Manual Sorting Options?

[Casey]

It’s hard to provide specific code without knowing the format your data is in, however, the general way to accomplish this in any language would be to check each nested list for a ‘video_complete’ value.

In Python for instance, a basic way to do this would be to iterate over your list of lists using a for loop. Inside the loop, you would use an if statement to check the first element of each nested list. If the first element is ‘video_complete’, you would temporarily store this nested list in a variable, then remove it from the main list using the ‘remove’ method. After the for loop completed, you’d then use the ‘append’ method to add the stored ‘video_complete’ list to the end of the main list.

Doing something similar in your language of choice will move the row with ‘video_complete’ to be at the very bottom of your nested list. However, it is important to note that this is a very basic brute force method and not optimal for large lists. For a more efficient approach, you may want to consider sorting your data when querying it from the database or using more advanced algorithms and libraries.

[Xavier]

Sure I can help with that. As an initial approach, you would need to identify where the ‘video_complete’ rows are in your nested list. Once you’ve managed to do that, a possible way to get ‘video_complete’ to be at the bottom of your list would be to use the ‘append()’ and ‘remove()’ list methods in Python (or their equivalents in other programming languages). The ‘remove()’ method will remove the first occurrence of the value specified, in your case ‘video_complete’. After removing it, you can then use the ‘append()’ method to add ‘video_complete’ back into the list but at the end, effectively placing it at the bottom of your list. This approach could be repeated in a loop for a nested list until all ‘video_complete’ rows are at the bottom.
As a tip when dealing with sorting rows, you might want to consider using libraries or packages that could handle data manipulation and analysis more flexibly such as pandas in Python. These provide more powerful tools for sorting and manipulating data.