Data visualization with R

Authors

Affiliations

Sara Mortara ORCID ID

re.green

Andrea Sánchez-Tapia ORCID ID

¡liibre!

Published

July 20, 2022

Citation

Mortara & Sánchez-Tapia, 2022

Slides

Libraries

To run the code from the slides you’ll need, in addition to ggplot2, to have installed the packages: patchwork and ggridges.

packages <- c("patchwork", "ggridges)
for (package in packages) {
  if (!package %in% installed.packages()) install.packages(package)
}

Rmarkdown

Find here the Rmarkdown file to follow and generate a graphic.

Footnotes

    Reuse

    Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".

    Citation

    For attribution, please cite this work as

    Mortara & Sánchez-Tapia (2022, July 20). Scientific Programming: Data visualization with R. Retrieved from https://scientific-computing.netlify.app/06_data_visualization.html

    BibTeX citation

    @misc{mortara2022data,
  author = {Mortara, Sara and Sánchez-Tapia, Andrea},
  title = {Scientific Programming: Data visualization with R},
  url = {https://scientific-computing.netlify.app/06_data_visualization.html},
  year = {2022}
}