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  1. Create Elegant Data Visualisations Using the Grammar of Graphics …

    ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics. You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.

  2. Introduction to ggplot2

    ggplot2 is an R package for producing visualizations of data. Unlike many graphics packages, ggplot2 uses a conceptual framework based on the grammar of graphics. This allows you to ‘speak’ a graph from composable elements, instead of being limited to a predefined set of charts.

  3. ggplot2: Create Elegant Data Visualisations Using the Grammar of ...

    A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.

  4. Create Elegant Data Visualisations Using the Grammar of Graphics

    ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics. You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.

  5. Package index - ggplot2

    All ggplot2 plots begin with a call to ggplot(), supplying default data and aesthetic mappings, specified by aes(). You then add layers, scales, coords and facets with +. To save a plot to disk, use ggsave().

  6. Create a new ggplot — ggplot • ggplot2

    ggplot(data = df, mapping = aes(x, y, other aesthetics)) ggplot(data = df) ggplot() The first pattern is recommended if all layers use the same data and the same set of aesthetics, although this method can also be used when adding a layer using data from another data frame.

  7. 148 registered extensions available to explore - tidyverse

    Exploratory Symbolic Data Analysis with ‘ggplot2’. stop author: kiangkiangkiang. stop tags: visualization,symbolic data,interval-valued data

  8. Aesthetic specifications - ggplot2

    ggplot2-specs.Rmd This vignette summarises the various formats that grid drawing functions take. Most of this information is available scattered throughout the R documentation.

  9. Construct aesthetic mappings — aes • ggplot2

    Aesthetic mappings describe how variables in the data are mapped to visual properties (aesthetics) of geoms. Aesthetic mappings can be set in ggplot() and in individual layers.

  10. Points — geom_point - ggplot2

    The statistical transformation to use on the data for this layer. When using a geom_*() function to construct a layer, the stat argument can be used the override the default coupling between geoms and stats.

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