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  2. IBM OpenDX - Wikipedia

    en.wikipedia.org/wiki/IBM_OpenDX

    Data Explorer is a system of tools and user interfaces for visualizing data. In general terms the visualization of data can be considered a 3-stage process: Describing and importing data; Processing the data through a visualization program; Presenting the resulting image. The principal components of OpenDX are Data model

  3. Grand Tour (data visualisation) - Wikipedia

    en.wikipedia.org/wiki/Grand_Tour_(data...

    The grand tour is a technique originally developed by Daniel Asimov 1980–85, which is used to explore multivariate statistical data by means of an animation. The animation, or "movie", consists of a series of distinct views of the data as seen from different directions, displayed on a computer screen, that appear to change continuously and that get closer and closer to all possible views.

  4. 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 ...

  5. Plotly - Wikipedia

    en.wikipedia.org/wiki/Plotly

    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] and REST.

  6. Matplotlib - Wikipedia

    en.wikipedia.org/wiki/Matplotlib

    Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.

  7. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data visualization uses information displays (graphics such as, tables and charts) to help communicate key messages contained in the data. [46] Tables are a valuable tool by enabling the ability of a user to query and focus on specific numbers; while charts (e.g., bar charts or line charts), may help explain the quantitative messages contained ...

  8. With a playoff blowout of Oregon, Ohio State proves it's ...

    www.aol.com/sports/playoff-blowout-oregon-ohio...

    The 41-21 final score barely hints at the extent of Wednesday evening’s carnage. It was 7-0 by the time most TV viewers switched over from the end of the Peach Bowl. It was 14-0 by the time ...

  9. JMP (statistical software) - Wikipedia

    en.wikipedia.org/wiki/JMP_(statistical_software)

    JMP can be used in conjunction with the R and Python open source programming languages to access features not available in JMP itself. [42] JMP software is partly focused on exploratory data analysis and visualization. It is designed for users to investigate data to learn something unexpected, as opposed to confirming a hypothesis.