1. Wrap-up
Congratulations you've made it to the end of the course! I hope you've had fun mastering dates and times in R.
2. Wrapping-up
Way back in Chapter 1 you learnt about R's objects for holding dates and times: Date and the POSIX objects. It doesn't matter which of those objects you have, all the functions you've learnt from lubridate apply to both. In fact lubridate functions work with datetime objects from a whole range of contributed packages too: including the popular time series analysis packages zoo and xts.
In Chapter 2 you learnt all about importing and manipulating datetimes with lubridate. With those skills you should never meet a date or time you can't get into R. You also saw how extracting parts of a datetime let's you explore the variation in something like temperature at monthly, daily, or yearly scales.
In Chapter 3, you learnt about the difficulties of doing arithmetic with datetimes that stem from complexities like daylight savings time and leap years. Then you met the three objects lubridate supplies to handle the complexity: periods, durations, and intervals.
In this final chapter, you learnt how to handle time zones, import dates quickly and output datetimes.
3. Next steps
Where should you go from here? If you are interested in learning about modeling and predicting data that is recorded in time, you'd love the
4. Next steps
Time Series in R Skill track. If you are more interested in mastering the packages of the tidyverse
5. Next steps
you might enjoy taking more courses on ggplot2, dplyr, or stringr, or courses that combine multiple packages to clean and explore data.
6. See you in another course!
Alright, that's all from me. Congratulations again, and I hope to see you soon in another course.