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Materials for the "Data visualization and storytelling" PhD course, Fall 2023, University of Copenhagen

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Data visualization and storytelling

Materials for the "Data visualization and storytelling" PhD course, Fall 2023, University of Copenhagen

Teachers: Kaustubh Chakradeo, Jacob Curran-Sebastian, Neil Scheidwasser, Samir Bhatt

Setup

Install R:

Install RStudio:

  • Go to the RStudio website: https://posit.co/download/rstudio-desktop/
  • Scroll down and download the appropriate version depending on your OS.
  • Check: open RStudio, and check that the R version is the same as the one you installed

Install R Markdown:

  • We will use Rmarkdown to generate formated documents where text and code can be combined
  • Installation:
install.packages('rmarkdown')
  • Optional: use tinytex to generate PDFs using LaTeX
install.packages('tinytex')
tinytex::install_tinytex()

Data analysis and visualization packages:

A basic setup with a comprehensive set of packages for scientific computing and data visualisation can be installed via the tidyverse package:

install.packages('tidyverse')

If you prefer to have a minimal setup, you can install the following packages that we will use in this course: Basic data analysis:

install.packages('dplyr')
install.packages('Hmisc')

For static visualisation:

install.packages('ggplot2')
install.packages('ggmap') # Maps
install.packages('daggity') # Networks
install.packages('pheatmap') # Heatmaps
install.packages('gridExtra') # Subplots
install.packages('RColorBrewer') # More colours

For interactive visualisation:

install.packages('plotly')
install.packages('shiny')

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Materials for the "Data visualization and storytelling" PhD course, Fall 2023, University of Copenhagen

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