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Congratulations!

1. Congratulations!

Congratulations on completing the course!

2. Summary

In this course, we learned the fundamentals of time series data, such as how to store date-time information in R, how to properly format dates and times, and the kinds of time-based information that describe a time series.

3. Summary

We covered the zoo package and the zoo class of time series objects, and how to convert between zoo objects and data frames. We also practiced plotting time series data with ggplot2 using functions like autoplot.

4. Summary

We discussed how to subset and index a time series, how to manipulate data that is sampled monthly or quarterly, how to aggregate data to different units of time, and how to fill-in NA values in a dataset.

5. Summary

Finally, we discussed rolling window functions like rollmean and rollmax, and how to generate our own rolling window functions through rollapply. We also covered how to create expanding windows.

6. What's next?

What should we look at next? This course is only an introduction to the world of time series data, so check out these courses for a more in-depth look into time series analysis.

7. Thank you!

Thank you so much for taking the course, and best of luck on your journey through R!