16  The tidy data paradigm

Tip

Author: Enrico, ?

Note

Author’s note: This part introduces more advanced mathematical and programming skills. The tidy paradigm to manipulate data frames is introduced. Challenges associated with geometrical shapes, geographical coordinates, trajectories, projections are presented, before introducing common AI tools for information extraction, prediction and optimisation.

Examples in R, Javascript, Python

See [1] and possibly database normalization. See also Chapter 12 of [2].

• concept
• examples in various frameworks
  • R: dplyr, tidyr
  • Python: pandas (?)
  • Javascript: tidy.js, tidy data at Observable

[1]

H. Wickham, “Tidy Data,” Journal of Statistical Software, vol. 59, no. 10, pp. 23–23, Sep. 2014, [Online]. Available: http://www.jstatsoft.org/v59/i10.

[2]

H. Wickham and G. Grolemund, R for data science. O’Reilly Media, 2017.