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2. MayaVi - Wikipedia

   en.wikipedia.org/wiki/MayaVi

   MayaVi is a scientific data visualizer written in Python, which uses VTK and provides a GUI via Tkinter. MayaVi was developed by Prabhu Ramachandran, is free and distributed under the BSD License. It is cross-platform and runs on any platform where both Python and VTK are available (almost any Unix, Mac OS X, or Windows).

3. 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.

4. 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.

5. Data and information visualization - Wikipedia

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

   Interactive data visualization enables direct actions on a graphical plot to change elements and link between multiple plots. [56] Interactive data visualization has been a pursuit of statisticians since the late 1960s. Examples of the developments can be found on the American Statistical Association video lending library. [57]

6. 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

7. Exploratory data analysis - Wikipedia

   en.wikipedia.org/wiki/Exploratory_data_analysis

   Exploratory data analysis is an analysis technique to analyze and investigate the data set and summarize the main characteristics of the dataset. Main advantage of EDA is providing the data visualization of data after conducting the analysis.

8. Chernoff face - Wikipedia

   en.wikipedia.org/wiki/Chernoff_face

   Java visualization; Example of urban living conditions in LA; Example and code for the R statistical software environment; Example and code for Python using the matplotlib library; ChernoffFace package in Python using the matplotlib library; Function ChernoffFace in Wolfram Language (Mathematica) at Wolfram Function Repository

9. Biological data visualization - Wikipedia

   en.wikipedia.org/wiki/Biological_data_visualization

   Biological data visualization is a branch of bioinformatics concerned with the ... Examples of T1 -weighted, T2 ... Open-source Python application for modeling ...