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@davvr davvr commented Dec 16, 2025

This project focuses on the replication of a selected data visualization in order to faithfully reproduce its structure, visual encodings, and underlying data transformations. The goal of the replication is to ensure transparency and technical correctness, allowing the original design decisions to be examined and understood in detail. At this stage, the project is intentionally limited to replication and remains a work in progress. Further refinements, extensions, and alternative visual approaches may be explored in subsequent iterations.

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netlify bot commented Dec 16, 2025

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@Enchufa2 Enchufa2 changed the title Project - <David> Project - David Valero Dec 22, 2025
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I left several comments, but still not much to review.

Please ensure that you follow the project guidelines: https://csslab.uc3m.es/dataviz/tutorials/project/#project-guidelines. And let me know when you have 100% completion by marking the pull request as "ready for review".

Comment on lines 16 to 18
Distill is a publication format for scientific and technical writing, native to the web.

Learn more about using Distill at <https://rstudio.github.io/distill>.
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Remove

inset_element(plot_resumen_nacional, left = 0.02, right = 0.20, bottom = 0.78, top = 0.98)

print(mapa_final)
ggsave("DataViz_Final_Map_Spain_Full.png", plot = mapa_final, bg = "transparent", width = 14, height = 11, dpi = 300)
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Note that we must avoid ggsave. Let the chunks print the images.

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2 participants