How to handle data with unique interaction id but with multiple events

@cruisybd wrote:

Hi All,

I have a dataset which has an interaction_id column and events column.

| interaction_id | events         |
| -------------- | -------------- |
| i123           | enquiry        |
| i123           | sell           |
| i123           | update details |
| i978           | view options   |
| i999           | sell           |
| i999           | enquiry        |

As you can see, a unique interaction_id can have multiple events that belongs to it. The problem that I am trying to solve (or to validate if possible or not to solve) is to structure the above data so it can answer these:

• when there is an sell event, what other events are there?
• how many interactions have both sell and enquiry events?

At the moment, the solution I have thought about is adding tagging columns for each interaction_id but this solution can only answer the 2nd question above.

Do you have any suggestion on how to tackle this problem? Or is it simply unable to be solved using data structure?

Thanks!

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