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R

As explained in Everyday Data Visualization

R is a programming language and software environment designed primarily for statistical computing and graphics.

R is a programming language and software environment designed primarily for statistical computing and graphics. It belongs to the code-based route to visualization, where writing code provides precise control over how visualizations look and behave. section 1.5.3

A practical code-first workflow:

  • Start with an existing library when it provides the needed functionality; write custom functions, classes, or objects only when necessary. section 1.5.3
  • Expect more technical work than spreadsheet or business-intelligence tools require, but gain finer control over the final visualization. section 1.5.3

How Everyday Data Visualization covers it

How deep it goes
Receives a brief positioning rather than a coding tutorial, with implementation details and coding basics left aside.
What it assumes
Assumes some coding familiarity and does not teach programming fundamentals from zero.
What you can do after
Build visualizations with precise control by using libraries first and custom code when existing functionality falls short.
How it connects
Connects statistical computing and graphics with data visualization libraries and custom programming.

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This explainer was generated by Manning's knowledge graph from the text of Everyday Data Visualization. The section links point to the parts of the book it draws on.