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  2. freeCodeCamp - Wikipedia

    en.wikipedia.org/wiki/FreeCodeCamp

    There were a number of additions to the coursework, including D3.js and Sass, which brought the total time estimate to 2,080 hours and two more certificates, data visualization, and back-end. Also in 2016, freeCodeCamp ran a survey on about 15,000 developers with questions on basic demographics and coding-related. [12]

  3. 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".

  4. 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.

  5. 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 ...

  6. Interactive visual analysis - Wikipedia

    en.wikipedia.org/wiki/Interactive_visual_analysis

    The data source for IVA is usually tabular data where the data is represented in columns and rows. The data variables can be divided into two different categories: independent and dependent variables. The independent variables represent the domain of the observed values, such as for instance time and space.

  7. ParaView - Wikipedia

    en.wikipedia.org/wiki/ParaView

    ParaView is known and used in many different communities to analyze and visualize scientific data sets. [2] It can be used to build visualizations to analyze data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D or programmatically using ParaView's batch processing capabilities. [3]

  8. 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.

  9. Tulip (software) - Wikipedia

    en.wikipedia.org/wiki/Tulip_(software)

    Tulip is an information visualization framework dedicated to the analysis and visualization of relational data. Tulip aims to provide the developer with a complete library, supporting the design of interactive information visualization applications for relational data that can be tailored to the problems being addressed.