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Thanks! You probably refer to one of the demos on our landing page? I like how you describe the problem. You're absolutely right that SQL seems easy but it's
by zurfer 3y ago
Thanks!
You probably refer to one of the demos on our landing page?
I like how you describe the problem. You're absolutely right that SQL seems easy but it's these edge cases that make it hard to get right. Joining metrics with a date spine is definitely a good practice to avoid missing date periods.
I think we could/should teach Dot to do that in the future. It should at least be a feature you can turn on as the data team.
- posting_mess 3y ago> You probably refer to one of the demos on our landing page? Indeed, not sure how I ended up there but did on mobile, commented here. > You're absolutely right that SQL seems easy but it's these edge cases that make it hard to get right SQL/data analysis is endlessly pesky! I assume it would be easier to spot on tighter increments like "minutely" or "hourly" > It should at least be a feature you can turn on as the data team. Some might want the missing points, others wont - sounds like a good option (but id default to "enabled", each to their own though)