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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.
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
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.
D3.js, formerly Protovis [35] [36] BSD-3 [37] Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes [38] Yes Yes Yes Yes Yes Yes Yes Yes No Yes [39] No Yes No DHTMLX Charts: GPL [40] Yes Yes No Yes Yes Yes Yes No Yes No Yes [41] No Yes Yes Yes No Yes Yes Yes Yes Yes No Yes No Dojo Charting, part of Dojo Toolkit: BSD or AFL [42] Yes Yes No Yes Yes Yes ...
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.
Plotly is a technical computing company headquartered in Montreal, Quebec, that develops online data analytics and visualization tools. Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python , R , MATLAB , Perl , Julia , Arduino , JavaScript [ 1 ...
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 ...
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.