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2. Roambi - Wikipedia

   en.wikipedia.org/wiki/Roambi

   Roambi is a business application that changes raw business data into interactive graphics designed for mobile devices on the iOS platform such as Apple Inc.’s iPhone, iPad and iPad Mini. [1] The applications connect to popular information systems including Excel or Salesforce.com and business intelligence systems such as Cognos and corporate ...

3. 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

4. Simulation decomposition - Wikipedia

   en.wikipedia.org/wiki/Simulation_decomposition

   All of these steps can be run automatically on the given data using the open-source SimDec packages currently available in Python, R, Julia, and Matlab. [6] A SimDec template in Excel runs a Monte Carlo simulation of a spreadsheet model but possesses only a manual option for input selection.

5. 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".

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. KNIME - Wikipedia

   en.wikipedia.org/wiki/KNIME

   KNIME (/ n aɪ m / ⓘ), the Konstanz Information Miner, [2] is a free and open-source data analytics, reporting and integration platform.KNIME integrates various components for machine learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept.