Referencias

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Alonso Cifuentes, 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 Cifuentes, J. C., & Montenegro, S. (2012). Visualización de información georeferenciada en ggplot2. Apuntes de Economía, 35, 16. https://www.researchgate.net/publication/306259435_Visualizacion_de_informacion_georeferenciada_en_ggplot2

Alonso Cifuentes, J. C., & Ocampo, M. P. (2022). Empezando a usaR: Una guía paso a paso. http://www.icesi.edu.co/editorial/empezando-usar

Alonso, J. C., & Largo, M. F. (2022). Empezando a visualizar datos con r y ggplot2. http://www.icesi.edu.co/editorial/empezando-visualizar

Bryan, J. (2017). Gapminder: Data from gapminder. https://CRAN.R-project.org/package=gapminder

Henry, L., & Wickham, H. (2020). Purrr: Functional programming tools. https://CRAN.R-project.org/package=purrr

Müller, K., & Wickham, H. (2021). Tibble: Simple data frames. https://CRAN.R-project.org/package=tibble

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Sievert, C. (2020). Interactive web-based data visualization with r, plotly, and shiny. Chapman; Hall/CRC. https://plotly-r.com

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. (2021). Tidyr: Tidy messy data. https://CRAN.R-project.org/package=tidyr

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. (2021). 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