This article shows examples of how to define more advanced calculated metrics.
You want to calculate the bounce rate.
The definition of a bounce is subject for another discussion but for this example you define a Bounced events filter where Session Start equals 1 and Session Ends equals 1. You use this filter do define the rate of bounced sessions to sessions.
Alternatively, you can define a bounce rate using derived fields.
Derived fields are part of a Data view which has the advantage that not every user can override or modify the definition of a Bounce rate metric. That advantage also introduced a limitation. Users that do not have access to a data view cannot use derived fields and have to resort to filters and calculated metrics to define a bounce rate.
See for more background information on how to calculate bounces and bounce rate in Customer Journey Analytics, this blog post.
You want to define a calculated metric that calculates only page views for the pages that have been visited in over 100 sessions.
You want to define a calculated metric that calculates only page views for the top 30% sessions.