Chapter 2 Data

2.1 Data from R packages

good clean data packages, ideal for teaching beginner to intermediate

• fivethirtyeight

• gapminder

• babynames

  • https://github.com/mine-cetinkaya-rundel/ukbabynames
  • https://docs.ropensci.org/ozbabynames/

• not a package but https://github.com/rfordatascience/tidytuesday

• for tidying:

  • https://github.com/jennybc/lotr
  • Most raw data from gapminder: https://www.gapminder.org/data/
  • https://www.jvcasillas.com/untidydata/

• https://simplystatistics.org/2018/01/22/the-dslabs-package-provides-datasets-for-teaching-data-science/

• https://github.com/rstudio-education/dsbox

• https://kieranhealy.org/blog/archives/2018/12/12/teaching-and-learning-materials-for-data-visualization/

• ISLR data

• resample data

2.2 Data stored on GitHub

Tip: make a short link to the “raw” version of the data you uploaded to GitHub

2.3 Data from other sources

tips/tricks for logistics (use_course, etc)

see data package for your own

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