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  2. 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.

  3. A beginner’s guide to data visualization with Python and Seaborn

    www.aol.com/beginner-guide-data-visualization...

    Data visualization is a technique that allows data scientists to convert raw data into charts and plots that generate valuable insights. There are many tools to perform data visualization, such as ...

  4. Graph drawing - Wikipedia

    en.wikipedia.org/wiki/Graph_drawing

    Graphic representation of a minute fraction of the WWW, demonstrating hyperlinks.. Graph drawing is an area of mathematics and computer science combining methods from geometric graph theory and information visualization to derive two-dimensional depictions of graphs arising from applications such as social network analysis, cartography, linguistics, and bioinformatics.

  5. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    Data and information visualization (data viz/vis or info viz/vis) [2] is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount [3] of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.

  6. Scientific visualization - Wikipedia

    en.wikipedia.org/wiki/Scientific_visualization

    Scientific visualization (also spelled scientific visualisation) is an interdisciplinary branch of science concerned with the visualization of scientific phenomena. [2] It is also considered a subset of computer graphics , a branch of computer science.

  7. pandas (software) - Wikipedia

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

    Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis.In particular, it offers data structures and operations for manipulating numerical tables and time series.

  8. Chernoff face - Wikipedia

    en.wikipedia.org/wiki/Chernoff_face

    "Faces 2.0" Archived 2008-09-27 at the Wayback Machine-(a Mac OS X screensaver which generates random Chernoff faces) NovoSpark Visualizer - an advanced visualization tool that enables qualitative analysis of multidimensional data through the exploration of a graphical image. "How to visualize data with cartoonish faces ala Chernoff" (Flowing Data)

  9. Vega and Vega-Lite visualisation grammars - Wikipedia

    en.wikipedia.org/wiki/Vega_and_Vega-Lite...

    Vega is used in the back end of several data visualization systems, for example Voyager. [4] [5] Chart specifications are written in JSON and rendered in a browser or exported to either vector or bitmap images. Bindings for Vega-Lite have been written in several programming languages, such as the Python package Altair, [6] to make it easier to use.