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2. List of information graphics software - Wikipedia

   en.wikipedia.org/wiki/List_of_information...

   A visual programming data-flow software suite with widgets for statistical data analysis, interactive data visualization, data mining, and machine learning. Origin: GUI, COM, C/ C++ and scripting: proprietary: No 1992: June 22, 2017 / 2017 SR2: Windows: Multi-layer 2D, 3D and statistical graphs for science and engineering. Built-in digitizing tool.

3. Category:Data visualization software - Wikipedia

   en.wikipedia.org/wiki/Category:Data...

   This page was last edited on 30 November 2019, at 15:24 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.

4. List of statistical software - Wikipedia

   en.wikipedia.org/wiki/List_of_statistical_software

   Mondrian – data analysis tool using interactive statistical graphics with a link to R; Neurophysiological Biomarker Toolbox – Matlab toolbox for data-mining of neurophysiological biomarkers; OpenBUGS; OpenEpi – A web-based, open-source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and ...

5. The 7 Best Data Visualization Tools For 2018

   www.aol.com/news/7-best-data-visualization-tools...

   Visualization is an essential element of any Big Data and analytics strategy. The most up-to-date, real time information and advanced analytics soluti The 7 Best Data Visualization Tools For 2018

6. Category:Free data visualization software - Wikipedia

   en.wikipedia.org/wiki/Category:Free_data...

   Free and open-source software portal; This is a category of articles relating to data visualization software which can be freely used, copied, studied, modified, and redistributed by everyone that obtains a copy: "free software" or "open source software".

7. List of programming languages for artificial intelligence

   en.wikipedia.org/wiki/List_of_programming...

   Lazy evaluation and the list and LogicT monads make it easy to express non-deterministic algorithms, which is often the case. Infinite data structures are useful for search trees. The language's features enable a compositional way to express algorithms. Working with graphs is however a bit harder at first because of functional purity.