Easy-to-use functions to generate 2-7 sets Venn or upset plot in publication quality. 
  'ggVennDiagram' plot Venn or upset using well-defined geometry dataset and 'ggplot2'. The shapes of 2-4 sets 
  Venn use circles and ellipses, while the shapes of 4-7 sets Venn use irregular polygons (4 has both forms), which 
  are developed and imported from another package 'venn', authored by Adrian Dusa. We provided internal functions to 
  integrate shape data with user provided sets data, and calculated the geometry of every regions/intersections 
  of them, then separately plot Venn in four components, set edges/labels, and region edges/labels.
  From version 1.0, it is possible to customize these components as you demand in ordinary 'ggplot2' grammar.
  From version 1.4.4, it supports unlimited number of sets, as it can draw a plain upset plot automatically when
  number of sets is more than 7.

A collection of datasets for the upcoming book "Graficas versatiles con ggplot: Analisis visuales de datos", by Raymond L. Tremblay and Julian Hernandez-Serano.

A 'ggplot2' extension for visualizing vector fields in two-dimensional 
           space. Provides flexible tools for creating vector and stream field layers, 
           visualizing gradients and potential fields, and smoothing vector and 
           scalar data to estimate underlying patterns.

Preview what a 'ggplot2' plot would look like if you save it to a file. 
    Attach picture dimensions as a canvas() element and get an instant preview. 
    These dimensions will then be used when you save the plot.

An implementation of an interactive grammar of graphics,
    taking the best parts of 'ggplot2', combining them with the reactive
    framework of 'shiny' and drawing web graphics using 'vega'.

Provides functionality to create customizable volcano plots for
    visualizing differential gene expression analysis results. The package
    offers options to highlight genes of interest, adjust significance
    thresholds, customize colors, and add informative labels. Designed
    specifically for RNA-seq data analysis workflows.