R
R is a programming language and software environment designed primarily for statistical computing, data analysis, and graphics.
Statistics Slam Dunk
R is a free, open-source programming language and environment for statistical computing, data analysis, and visualization.
- How it is used
- Supports end-to-end statistical and data-science projects, from importing and wrangling data through visualization, testing, modeling, and interpretation.
- How deep it goes
- Introduces installation, RStudio operation, packages, scripts, outputs, and project workflow without detailing language internals.
- Examples
- Demonstrates ggplot2 and patchwork on mtcars through correlation, facet, bar, and histogram plots.
- What you can do after
- Apply it via RStudio and packages to prepare data, run analyses, inspect outputs, and produce visual reports.
Everyday Data Visualization
R is a programming language and software environment designed primarily for statistical computing and graphics.
- How it is used
- Supports statistical computing and graphics through a code-based visualization workflow.
- How deep it goes
- Receives a brief positioning rather than a coding tutorial, with implementation details and coding basics left aside.
- What you can do after
- Build visualizations with precise control by using libraries first and custom code when existing functionality falls short.
Related concepts
- ggplot2used by · ggplot2 is an R package for declaratively constructing statistical graphics from data and aesthetic mappings using a layered grammar of graphics.
- programming languagekind of · A programming language is a formal language with defined syntax and semantics for expressing computations and instructions that computers can execute or interpret.
- Pythonalternative to · Python is a high-level, general-purpose, dynamically typed programming language known for readable syntax and automatic memory management.
- language modeluses · A language model is a computational model that represents patterns in linguistic tokens to estimate sequence probabilities and predict or generate language from context.
- Kerasuses · Keras is an open-source, high-level deep-learning API for building, training, evaluating, and deploying neural-network models.
- TensorFlowuses · TensorFlow is an open-source software platform for numerical computation and machine learning, with tools for developing, training, and deploying models.
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