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  2. D3.js - Wikipedia

    en.wikipedia.org/wiki/D3js

    D3.js (also known as D3, short for Data-Driven Documents) is a JavaScript library for producing dynamic, interactive data visualizations in web browsers. It makes use of Scalable Vector Graphics (SVG), HTML5 , and Cascading Style Sheets (CSS) standards.

  3. Comparison of JavaScript charting libraries - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_JavaScript...

    VisJS - used in d3-graphviz: Apache 2.0 and MIT [90] Yes Yes [91] Yes [92] Yes [93] Yes [94] No No No No No ... Syncfusion JS Charts: MIT Free for education and non ...

  4. List of charting software - Wikipedia

    en.wikipedia.org/wiki/List_of_charting_software

    jqxChart - SVG/VML/HTML5 chart. Free and commercial licences; Plotly.js - MIT license; RGraph - HTML5/SVG/Canvas, MIT license; TeeChart JS – Cross-browser HTML5 Canvas, Open Source license; VisJS – Accepts the DOT graph description language as input for network graphs; Webix UI - JavaScript/HTML5, Free or Commercial license

  5. RAWGraphs - Wikipedia

    en.wikipedia.org/wiki/RAWGraphs

    RAWGraphs is a web-based open-source data visualization software made in JavaScript. It employs D3.js for the creation of editable visualizations in SVG format. History

  6. Parallel coordinates - Wikipedia

    en.wikipedia.org/wiki/Parallel_coordinates

    Libraries include Protovis.js, D3.js provides basic examples. D3.Parcoords.js (a D3-based library) specifically dedicated to parallel coordinates graphic creation has also been published. The Python data structure and analysis library Pandas implements parallel coordinates plotting, using the plotting library matplotlib. [13]

  7. Bubble chart - Wikipedia

    en.wikipedia.org/wiki/Bubble_chart

    A bubble chart is a type of chart that displays three dimensions of data. Each entity with its triplet ( v 1 , v 2 , v 3 ) of associated data is plotted as a disk that expresses two of the v i values through the disk's xy location and the third through its size.

  8. Kernel density estimation - Wikipedia

    en.wikipedia.org/wiki/Kernel_density_estimation

    In JavaScript, the visualization package D3.js offers a KDE package in its science.stats package. In JMP, the Graph Builder platform utilizes kernel density estimation to provide contour plots and high density regions (HDRs) for bivariate densities, and violin plots and HDRs for univariate densities. Sliders allow the user to vary the bandwidth.

  9. Vega and Vega-Lite visualisation grammars - Wikipedia

    en.wikipedia.org/wiki/Vega_and_Vega-Lite...

    Vega acts as a low-level language suited to explanatory figures (the same use case as D3.js), while Vega-Lite is a higher-level language suited to rapidly exploring data. [3] Vega is used in the back end of several data visualization systems, for example Voyager.