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  2. ggplot2 - Wikipedia

    en.wikipedia.org/wiki/Ggplot2

    ggplot2 is an open-source data visualization package for the statistical programming language R.Created by Hadley Wickham in 2005, ggplot2 is an implementation of Leland Wilkinson's Grammar of Graphics—a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers. ggplot2 can serve as a replacement for the base graphics in R and contains a ...

  3. UpSet plot - Wikipedia

    en.wikipedia.org/wiki/UpSet_plot

    UpSet plots became popular as they became available as an R-library based on ggplot2, [3] and were subsequently re-implemented in various programming languages, such as Python, and others. [4] As of January 2024, UpSetR has been downloaded from CRAN more than 1.5 million times, although it was last updated 5 years ago. [5]

  4. Scatter plot - Wikipedia

    en.wikipedia.org/wiki/Scatter_plot

    A scatter plot, also called a scatterplot, scatter graph, scatter chart, scattergram, or scatter diagram, [2] is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data. If the points are coded (color/shape/size), one additional variable can be displayed.

  5. Rug plot - Wikipedia

    en.wikipedia.org/wiki/Rug_plot

    A rug plot of 100 data points appears in blue along the x-axis. (The points are sampled from the normal distribution shown in gray. The other curves show various kernel density estimates of the data.) A rug plot is a plot of data for a single quantitative variable, displayed as marks along an axis. It is used to visualise the distribution of ...

  6. Scatterplot smoothing - Wikipedia

    en.wikipedia.org/wiki/Scatterplot_smoothing

    This line attempts to display the non-random component of the association between the variables in a 2D scatter plot. Smoothing attempts to separate the non-random behaviour in the data from the random fluctuations, removing or reducing these fluctuations, and allows prediction of the response based value of the explanatory variable. [1] [2]

  7. Waterfall plot - Wikipedia

    en.wikipedia.org/wiki/Waterfall_plot

    Waterfall plots are often used to show how two-dimensional phenomena change over time. [1] A three-dimensional spectral waterfall plot is a plot in which multiple curves of data, typically spectra, are displayed simultaneously. Typically the curves are staggered both across the screen and vertically, with "nearer" curves masking the ones behind.

  8. Gather/scatter (vector addressing) - Wikipedia

    en.wikipedia.org/wiki/Gather/scatter_(vector...

    Gather/scatter is a type of memory addressing that at once collects (gathers) from, or stores (scatters) data to, multiple, arbitrary indices. Examples of its use include sparse linear algebra operations, [ 1 ] sorting algorithms, fast Fourier transforms , [ 2 ] and some computational graph theory problems. [ 3 ]

  9. PLOT3D file format - Wikipedia

    en.wikipedia.org/wiki/Plot3d_file_format

    PLOT3D was created by NASA Ames Research Center in 1982 by Pieter Buning [1] and remains an often used file format. It can only store a structured grid . The structured grid allows random access , that is by knowing the block number, i location, j location, and k location, any grid point value or result value may be extracted.