References
Arel-Bundock, Vincent. 2024. Rdatasets: A Collection of Datasets
Originally Distributed in Various r Packages. https://vincentarelbundock.github.io/Rdatasets/.
Arnold, Jeffrey B. 2024. Ggthemes: Extra Themes, Scales and Geoms
for ’Ggplot2’. https://CRAN.R-project.org/package=ggthemes.
Burns, Alvin C., and Ronald F. Bush. 2007. Basic Marketing Research:
Using Microsoft Excel Data Analysis. 2nd ed. Pearson College Div.
Chang, Winston, Joe Cheng, JJ Allaire, Carson Sievert, Barret Schloerke,
Yihui Xie, Jeff Allen, Jonathan McPherson, Alan Dipert, and Barbara
Borges. 2024. Shiny: Web Application Framework for r. https://shiny.posit.co/.
Csárdi, Gábor, and Maëlle Salmon. 2025. Pkgsearch: Search and Query
CRAN r Packages. https://CRAN.R-project.org/package=pkgsearch.
Cui, Boxuan. 2024. DataExplorer: Automate Data Exploration and
Treatment. http://boxuancui.github.io/DataExplorer/.
(Ed.), Colin McIntosh. 2013. Cambridge Advanced Learner’s
Dictionary. 4th ed. Cambridge University Press.
Firke, Sam. 2024. Janitor: Simple Tools for Examining and Cleaning
Dirty Data. https://github.com/sfirke/janitor.
Gassen, Joachim. 2020. ExPanDaR: Explore Your Data
Interactively. https://joachim-gassen.github.io/ExPanDaR/.
Grantham, Neal. 2025. Ggbraid: Braid Ribbons in ’Ggplot2’. https://github.com/nsgrantham/ggbraid.
Iannone, Richard, Joe Cheng, Barret Schloerke, Ellis Hughes, Alexandra
Lauer, JooYoung Seo, Ken Brevoort, and Olivier Roy. 2025. Gt: Easily
Create Presentation-Ready Display Tables. https://gt.rstudio.com.
Ihaka, Ross, Paul Murrell, Kurt Hornik, Jason C. Fisher, Reto Stauffer,
Claus O. Wilke, Claire D. McWhite, and Achim Zeileis. 2024.
Colorspace: A Toolbox for Manipulating and Assessing Colors and
Palettes. https://CRAN.R-project.org/package=colorspace.
Jeppson, Haley, Heike Hofmann, and Di Cook. 2021. Ggmosaic: Mosaic
Plots in the ’Ggplot2’ Framework. https://github.com/haleyjeppson/ggmosaic.
Kassambara, Alboukadel. 2023. Ggcorrplot: Visualization of a
Correlation Matrix Using ’Ggplot2’. http://www.sthda.com/english/wiki/ggcorrplot-visualization-of-a-correlation-matrix-using-ggplot2.
Larmarange, Joseph. 2025a. Ggstats: Extension to ’Ggplot2’ for
Plotting Stats. https://larmarange.github.io/ggstats/.
———. 2025b. Labelled: Manipulating Labelled Data. https://CRAN.R-project.org/package=labelled.
Mock, Thomas. 2025. gtExtras: Extending ’Gt’ for Beautiful HTML
Tables. https://CRAN.R-project.org/package=gtExtras.
Mouksassi, Samer, Dean Attali, James Craig, Benjamin Rich, and Michael
Sachs. 2024. Ggquickeda: Quickly Explore Your Data Using ’Ggplot2’
and ’Table1’ Summary Tables. https://CRAN.R-project.org/package=ggquickeda.
Müller, Kirill, and Hadley Wickham. 2025. Tibble: Simple Data
Frames. https://CRAN.R-project.org/package=tibble.
Nijs, Vincent. 2024. Radiant: Business Analytics Using r and
Shiny. https://CRAN.R-project.org/package=radiant.
OECD. 2023. PISA 2022 Assessment and Analytical Framework. 1st
ed. PISA, OECD Publishing, Paris. https://doi.org/10.1787/dfe0bf9c-en.
Qiu, Yixuan, and Dave Raggett. 2024. Showtext: Using Fonts More
Easily in r Graphs. https://CRAN.R-project.org/package=showtext.
Rivas-González, Iker. 2022. ggHoriPlot: Horizon Plots for
’Ggplot2’. https://CRAN.R-project.org/package=ggHoriPlot.
Sanderson, Steven, and Antti Rask. 2025. RandomWalker: Generate
Random Walks Compatible with the ’Tidyverse’. https://CRAN.R-project.org/package=RandomWalker.
Schloerke, Barret, Di Cook, Joseph Larmarange, Francois Briatte, Moritz
Marbach, Edwin Thoen, Amos Elberg, and Jason Crowley. 2024. GGally:
Extension to ’Ggplot2’. https://ggobi.github.io/ggally/.
Schwabish, Jonathan A. 2021. Better Data Visualizations: A Guide for
Scholars, Researchers, and Wonks. 1st ed. Columbia University
Press.
Sjoberg, David. 2021. Ggstream: Create Streamplots in
’Ggplot2’. https://CRAN.R-project.org/package=ggstream.
Slowikowski, Kamil. 2024. Ggrepel: Automatically Position
Non-Overlapping Text Labels with ’Ggplot2’. https://CRAN.R-project.org/package=ggrepel.
Spinu, Vitalie, Garrett Grolemund, and Hadley Wickham. 2024.
Lubridate: Make Dealing with Dates a Little Easier. https://CRAN.R-project.org/package=lubridate.
Tierney, Nicholas, Di Cook, Miles McBain, and Colin Fay. 2024.
Naniar: Data Structures, Summaries, and Visualisations for Missing
Data. https://naniar.njtierney.com/.
Wickham, Hadley. 2015. Ggplot2movies: Movies Data. https://CRAN.R-project.org/package=ggplot2movies.
———. 2016. Ggplot2: Elegant Graphics for Data Analysis. 2nd ed.
Springer-Verlag New York.
———. 2023a. Conflicted: An Alternative Conflict Resolution
Strategy. https://conflicted.r-lib.org/.
———. 2023b. Forcats: Tools for Working with Categorical Variables
(Factors). https://CRAN.R-project.org/package=forcats.
———. 2023c. Stringr: Simple, Consistent Wrappers for Common String
Operations. https://CRAN.R-project.org/package=stringr.
———. 2023d. Tidyverse: Easily Install and Load the ’Tidyverse’.
https://CRAN.R-project.org/package=tidyverse.
Wickham, Hadley, and Jennifer Bryan. 2023. R Packages: Organize,
Test, Document, and Share Your Code. 2nd ed. O’Reilly.
Wickham, Hadley, Mine Çetinkaya-Rundel, and Garrett Grolemund. 2023.
R for Data Science: Import, Tidy, Transform, Visualize, and Model
Data. 2nd ed. O’Reilly.
Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen,
Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, Dewey
Dunnington, and Teun van den Brand. 2025. Ggplot2: Create Elegant
Data Visualisations Using the Grammar of Graphics. https://CRAN.R-project.org/package=ggplot2.
Wickham, Hadley, Romain François, Lionel Henry, Kirill Müller, and Davis
Vaughan. 2023. Dplyr: A Grammar of Data Manipulation. https://dplyr.tidyverse.org.
Wickham, Hadley, Thomas Lin Pedersen, and Dana Seidel. 2023. Scales:
Scale Functions for Visualization. https://scales.r-lib.org.
Wickham, Hadley, Davis Vaughan, and Maximilian Girlich. 2024. Tidyr:
Tidy Messy Data. https://tidyr.tidyverse.org.
Wilke, Claus O. 2019. Fundamentals of Data Visualization: A Primer
on Making Informative and Compelling Figures. 1st ed. O’Reilly.
Wilke, Claus O., and Brenton M. Wiernik. 2022. Ggtext: Improved Text
Rendering Support for ’Ggplot2’. https://CRAN.R-project.org/package=ggtext.