Referencias

Abela, A. (2008). Advanced presentations by design: Creating communication that drives action. John Wiley & Sons.
Aden-Buie, G. (2023). Ggpomological: Pomological plot themes for ggplot2. https://github.com/gadenbuie/ggpomological
Allaire, J. J., Gandrud, C., Russell, K., & Yetman, C. (2017). networkD3: D3 JavaScript network graphs from r. https://CRAN.R-project.org/package=networkD3
Alonso, J. C. (2021). Una introducción a los Loops en R (y algunas alternativas) (Icesi Economics Lecture Notes No. 019408). Universidad Icesi. https://ideas.repec.org/p/col/000559/019408.html
Alonso, J. C. (2022). Empezando a transformar bases de datos con r y dplyr. Universidad Icesi. http://www.icesi.edu.co/editorial/empezando-transformar/
Alonso, J. C., & González, A. (2012). Ggplot: Gráficos de alta calidad. Apuntes de Economía, 33, 29. https://www.researchgate.net/publication/323202960\_Ggplot\_graficos\_de\_alta\_calidad
Alonso, J. C., & Ocampo, M. P. (2022). Empezando a usaR: Una guía paso a paso. Universidad Icesi. http://www.icesi.edu.co/editorial/empezando-usar/
Arnold, J. B. (2021). Ggthemes: Extra themes, scales and geoms for ’ggplot2’. https://CRAN.R-project.org/package=ggthemes
Bryan, J. (2017). Gapminder: Data from gapminder. https://CRAN.R-project.org/package=gapminder
Csárdi, G., Hester, J., Wickham, H., Chang, W., Morgan, M., & Tenenbaum, D. (2021). Remotes: R package installation from remote repositories, including ’GitHub’. https://CRAN.R-project.org/package=remotes
Gross, C., & Ottolinger, P. (2016). ggThemeAssist: Add-in to customize ’ggplot2’ themes. https://CRAN.R-project.org/package=ggThemeAssist
Henry, L., & Wickham, H. (2020). Purrr: Functional programming tools. https://CRAN.R-project.org/package=purrr
Moreno, D. (2015a). Colmaps: Colombian maps.
Moreno, D. (2015b). Homicidios: Colombian homicides data.
Müller, K., & Wickham, H. (2021). Tibble: Simple data frames. https://CRAN.R-project.org/package=tibble
Pedersen, T. L., & Robinson, D. (2020). Gganimate: A grammar of animated graphics. https://CRAN.R-project.org/package=gganimate
R Core Team. (2018). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/
Rudis, B. (2020). Hrbrthemes: Additional themes, theme components and utilities for ’ggplot2’. https://CRAN.R-project.org/package=hrbrthemes
Rudis, B., & Gandy, D. (2019). Waffle: Create waffle chart visualizations. https://gitlab.com/hrbrmstr/waffle
Sievert, C. (2020). Interactive web-based data iczation with r, plotly, and shiny. Chapman; Hall/CRC. https://plotly-r.com
Sjoberg, D. (2023). Ggsankey: Sankey, alluvial and sankey bump plots.
Tennekes, M. (2023). Treemap: Treemap visualization. https://CRAN.R-project.org/package=treemap
Wickham, H. (2016). ggplot2: Elegant graphics for data analysis. Springer-Verlag New York. https://ggplot2.tidyverse.org
Wickham, H. (2019). Stringr: Simple, consistent wrappers for common string operations. https://CRAN.R-project.org/package=stringr
Wickham, H. (2020). Forcats: Tools for working with categorical variables (factors). https://CRAN.R-project.org/package=forcats
Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L. D., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T. L., Miller, E., Bache, S. M., Müller, K., Ooms, J., Robinson, D., Seidel, D. P., Spinu, V., … Yutani, H. (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686. https://doi.org/10.21105/joss.01686
Wickham, H., François, R., Henry, L., Müller, K., & Vaughan, D. (2023). Dplyr: A grammar of data manipulation. https://CRAN.R-project.org/package=dplyr
Wickham, H., & Grolemund, G. (2016). R for data science: Import, tidy, transform, visualize, and model data. " O’Reilly Media, Inc.".
Wickham, H., Hester, J., & Francois, R. (2018). Readr: Read rectangular text data. https://CRAN.R-project.org/package=readr
Wickham, H., & Seidel, D. (2022). Scales: Scale functions for visualization. https://CRAN.R-project.org/package=scales
Wickham, H., Vaughan, D., & Girlich, M. (2023). Tidyr: Tidy messy data. https://CRAN.R-project.org/package=tidyr
Wilkins, D. (2021). Treemapify: Draw treemaps in ’ggplot2’. https://CRAN.R-project.org/package=treemapify
Wilkinson, L. (2012). The grammar of graphics. In Handbook of computational statistics (pp. 375–414). Springer.
Yu, G. (2021). Emojifont: Emoji and font awesome in graphics. https://CRAN.R-project.org/package=emojifont
Yutani, H. (2020). Gghighlight: Highlight lines and points in ’ggplot2’. https://CRAN.R-project.org/package=gghighlight