mamsamRoast/DataPhilly_StoredDataStories

Materials for the DataPhilly Fall Workshop: 'From Stored Data To Data Stories'

DataPhilly_StoredDataStories

Materials for the DataPhilly Fall Workshop: 'From Stored Data To Data Stories'

Greetings / Salvete / Schöne Grüße / Salutations / Pozdrowienia

Before the Workshop ...

• Required software
  • R: Install the latest version of R from the Comprehensive R Archive Network (CRAN).
  • RStudio: Install the RStudio integrated development environment, available from (RStudio, Inc.)
  • Python & Jupyter Notebook: Install Python and the Jupyter Notebook (and more of the Python machine learning ecosystem) by installing Anaconda.
  • LaTeX: LaTeX needs to be installed to generate PDF output. It's recommended that R Markdown users who have not installed LaTeX install TinyTeX.¹ To do so, execute the following commands (in an R session):
    
        install.packages("tinytex")
        library(tinytex)
        tinytex::install_tinytex()
    
    
• Required packages
  • R: I'll be making use of pacman, a package management tool for R. This tool will load libraries and - conveniently - install those libraries that need to be installed.
  • Python:

• A few test cases (if these run successfully, you're good-to-go)

  • HTML
  1. Open Simple_HTML_Presentation.Rmd in RStudio
  2. 'Knit' Simple_HTML_Presentation.Rmd
  3. The output should match Simple_HTML_Presentation.html
  • PDF
  1. Open Tufte_PDF_Example.Rmd in RStudio
  2. 'Knit' Tufte_PDF_Example.Rmd
  3. The output should match Tufte_PDF_Example.pdf

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1: Xie, Yihui, Joseph J. Allaire, and Garrett Grolemund. R markdown: The definitive guide. CRC Press, 2018.