Have you ever looked at a line chart of sales, website traffic, stock prices or weather patterns and thought, “I wonder what happens next?” – then you are in the right place.
Whether you are a student, analyst or data enthusiast, time series skills are essential in your field – and surprisingly accessible. By the end of this guide, you will be able to:
So grab your pen and paper (whatever it is you want to grab 😁), fire up RStudio and let’s turn your curiosity into prediction. 📊✨
Allaire, JJ, Yihui Xie, Christophe Dervieux, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, et al. 2024.
rmarkdown: Dynamic Documents for r.
https://github.com/rstudio/rmarkdown.
Firke, Sam. 2024.
janitor: Simple Tools for Examining and Cleaning Dirty Data.
https://doi.org/10.32614/CRAN.package.janitor.
Frick, Hannah, Fanny Chow, Max Kuhn, Michael Mahoney, Julia Silge, and Hadley Wickham. 2025.
rsample: General Resampling Infrastructure.
https://doi.org/10.32614/CRAN.package.rsample.
Hyndman, Rob. 2024.
Fpp3: Data for "Forecasting: Principles and Practice" (3rd Edition).
https://doi.org/10.32614/CRAN.package.fpp3.
O’Hara-Wild, Mitchell, Cynthia A. Huang, Matthew Kay, and Rob Hyndman. 2025.
ggtime: Grammar of Graphics and Plot Helpers for Time Series Visualization.
https://doi.org/10.32614/CRAN.package.ggtime.
O’Hara-Wild, Mitchell, Rob Hyndman, and Earo Wang. 2024.
fable: Forecasting Models for Tidy Time Series.
https://doi.org/10.32614/CRAN.package.fable.
———. 2025.
feasts: Feature Extraction and Statistics for Time Series.
https://doi.org/10.32614/CRAN.package.feasts.
O’Hara-Wild, Mitchell, Rob Hyndman, Earo Wang, and Rakshitha Godahewa. 2022.
tsibbledata: Diverse Datasets for “tsibble”.
https://doi.org/10.32614/CRAN.package.tsibbledata.
Pedersen, Thomas Lin. 2025.
patchwork: The Composer of Plots.
https://doi.org/10.32614/CRAN.package.patchwork.
R Core Team. 2025.
R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing.
https://www.R-project.org/.
Vaughan, Davis. 2024.
slider: Sliding Window Functions.
https://doi.org/10.32614/CRAN.package.slider.
Wang, Earo, Dianne Cook, and Rob J Hyndman. 2020.
“A New Tidy Data Structure to Support Exploration and Modeling of Temporal Data.” Journal of Computational and Graphical Statistics 29 (3): 466–78.
https://doi.org/10.1080/10618600.2019.1695624.
Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019.
“Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686.
https://doi.org/10.21105/joss.01686.
Xie, Yihui. 2014. “knitr: A Comprehensive Tool for Reproducible Research in R.” In Implementing Reproducible Computational Research, edited by Victoria Stodden, Friedrich Leisch, and Roger D. Peng. Chapman; Hall/CRC.
———. 2015.
Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC.
https://yihui.org/knitr/.
———. 2025.
knitr: A General-Purpose Package for Dynamic Report Generation in R.
https://yihui.org/knitr/.
Xie, Yihui, J. J. Allaire, and Garrett Grolemund. 2018.
R Markdown: The Definitive Guide. Boca Raton, Florida: Chapman; Hall/CRC.
https://bookdown.org/yihui/rmarkdown.
Xie, Yihui, Christophe Dervieux, and Emily Riederer. 2020.
R Markdown Cookbook. Boca Raton, Florida: Chapman; Hall/CRC.
https://bookdown.org/yihui/rmarkdown-cookbook.