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R

Specialized language for statistics and data science

Typing: dynamic Created: 1993
Official site

Paradigms

functionalprocedural

Pros and Cons

Ventajas

  • + Excellent for statistics
  • + ggplot2 for visualizations
  • + Tidyverse for data wrangling
  • + Widely used in academia
  • + Large number of statistical packages

Desventajas

  • - Syntax can be confusing
  • - Performance for big data
  • - Less versatile than Python
  • - Less demand in industry

Casos de Uso

  • Advanced statistical analysis
  • Data visualization
  • Bioinformatics
  • Academic research

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