Hey @sagarsoni7
There are many approaches to this depending on your use case.
IMO, the nested JSON approach is always be a tricky one for extracting the right datapoint. You can refer to this post for added context.
If you do use a nested json object property, you can try leveraging the EXTRACT_FROM_DICT function in the derived properties feature to create properties on the fly based on a specific key value if that appears useful. Assuming the ‘5’ is the month of May in your format, you can breakdown this as user_likes_May
- Which activity is more popular among all users? Likes or Comments?]
- Do you have events for when a user likes or comments something ? IMO, the event counts comparison between these 2 events over a time period will give a better measure of answering this question as compared to your current format.
- How many total Likes were performed by given user in whole year 2022?
- You can also have the total count for likes/comments updated for a user as and when they perform this event and update them as two separate user properties. Your current format has the monthly breakdown which can make it a bit weird to query. Amplitude has a Computations feature where you can create this counter on the fly based on the specified event counts, but I believe this one is a paid one via Recommend. Two things can be done here -
- An event seg chart on the like event and then total count over the year for that user
- User composition chart for the like_count user property where you can segment on the most recent value for that user/s.
Let me know if I have interpreted your use case correctly. Hope this helps.