Get startedGet started for free

Eating habits

A group of 24 people was asked to record its eating activities for a short amount of time. In total, seven different activities were defined:

  • preparing and eating breakfast
  • preparing and eating lunch
  • preparing and eating dinner
  • eating a snack

Let's have a look at the time aspect of this eating process, for which the data is available in the eat_patterns object.

This exercise is part of the course

Business Process Analytics in R

View Course

Exercise instructions

  • To which meal did the subjects dedicate the most time? Draw a process map using the performance() profile, with median time intervals expressed in hours.
  • For each activity: does there exist a lot of variation in the active time spent? Use the processing_time() metric with the appropriate level and express in a plot.
  • Draw a dotted chart which places the activities along the time of day ("relative_day") and sorts cases based on their first activity ("start_day").

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Draw a process map of median performance in hours
eat_patterns %>% 
  process_map(type = ___(FUN = ___, units = ___))

eat_patterns %>% 
  # Calculate variation in processing times of activity durations
  ___(level = ___) %>% 
  # Plot it
  ___()

# Draw a dotted chart of relative data sorted by start day
eat_patterns %>% 
  dotted_chart(x = ___, sort = ___, units = "secs")
Edit and Run Code