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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. Mike Bostock - Wikipedia

   en.wikipedia.org/wiki/Mike_Bostock

   Michael Bostock is an American computer scientist and data visualization specialist. He is one of the co-creators of Observable and a key developer of D3.js, [1] a JavaScript library used to produce dynamic, interactive data visualizations for web browsers. [2] He also contributed to the preceding Protovis framework.

4. 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.

5. 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 Yes [95] Yes [96] Yes Yes Yes No No Yes [97] Yes Yes Yes Yes No No No Vizzu: Apache 2.0 [98] Yes Yes No Yes Yes Yes Yes No Yes Yes No No Yes No Yes Yes Yes Yes No Yes Yes Yes Yes Yes No No No Webix JS Charts, part of Webix: GPL [99] Yes ...

6. Data and information visualization - Wikipedia

   en.wikipedia.org/wiki/Data_and_information...

   Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope ...

7. Parallel coordinates - Wikipedia

   en.wikipedia.org/wiki/Parallel_coordinates

   This data visualization is similar to time series visualization, except that Parallel Coordinates are applied to data which do not correspond with chronological time. Therefore, different axes arrangements can be of interest, including reflecting axes horizontally, otherwise inverting the attribute range.

8. Multidimensional scaling - Wikipedia

   en.wikipedia.org/wiki/Multidimensional_scaling

   Multidimensional scaling (MDS) is a means of visualizing the level of similarity of individual cases of a data set. MDS is used to translate distances between each pair of objects in a set into a configuration of points mapped into an abstract Cartesian space.

9. UpSet plot - Wikipedia

   en.wikipedia.org/wiki/UpSet_plot

   UpSet plots are a data visualization method for showing set data with more than three intersecting sets. UpSet shows intersections in a matrix, with the rows of the matrix corresponding to the sets, and the columns to the intersections between these sets (or vice versa). The size of the sets and of the intersections are shown as bar charts.