A dataset containing pre-calculated Personal Best (PB) times for various distances, derived from simulated Strava data. Used in examples and tests.
Format
A tibble with 100 rows and 10 variables:
- activity_id
ID of the activity where the effort occurred, as a character string.
- activity_date
Date and time of the activity, as a POSIXct object.
- distance
Target distance in meters for the best effort, as a numeric value.
- elapsed_time
Elapsed time for the effort in seconds, as a numeric value.
- moving_time
Moving time for the effort in seconds, as a numeric value.
- time_seconds
Typically the same as elapsed_time for best efforts, in seconds, as a numeric value.
- cumulative_pb_seconds
The personal best time for that distance up to that date, in seconds, as a numeric value.
- is_pb
Logical, TRUE if this effort set a new personal best.
- distance_label
Factor representing the distance (e.g., "1k", "5k").
- time_period
Formatted time of the effort, as a Period object from lubridate.