If something is left blank, then it’s just not included in your correlations/reports.
However, there is one exception to this:Binary Factors (but not variable Factors) that are left blank are assumed not to have happened, rather than being blank. That said, we are working on introducing a feature that lets you mark binary factors as either ‘blank’ or ‘none’.
If you’re tracking over the long term, the odd missed data point also shouldn’t have too big of an impact on your correlations either.
👋 Still have questions?
Let us know by contacting support@bearable.app and a member of the Bearable team can help you with anything you need.