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Data Analysis and Visualization
After collecting data and preparing it for your informatics or other data research project, you will likely have the need to perform some basic data analysis and/or visualization.
This guide highlights resources for data analysis and visualization using Python, the command line, Matlab, and Mathematica.
Python Data Analysis and Visualization Resources
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Python Data Science Handbook by Jake VanderPlasIncludes a chapter on data visualization with matplotlib.
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Python for Data Analysis by Wes McKinneyIncludes chapters on data analysis with the Python pandas library.
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Python crash course : a hands-on, project-based introduction to programming by Eric MatthesProject-based book, includes a chapter on data visualization.
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Scientific Visualization: Python + Matplotlib by Nicolas RougierOpen-access book on Python and matplotlib.
Command Line Tools - Data Analysis and Visualization Resources
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GNU datamashdatamash is a command-line program for performing basic numeric, textual and statistical analysis.
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GnuplotCommand line plotting/visualization software.
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Effective Awk ProgrammingAWK is a scripting language for text processing and is commonly used for data extraction an filtering, however, it can also be used for computing values of columns/rows.
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The Linux Command Line by William ShottsIncludes chapters for working with strings, numbers, and arrays. There is a PDF download of the book, and it is also available as a print copy from No Starch Press.
Matlab Data Analysis and Visualization Resources
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Matlab by Stormy AttawayIntroductory Matlab book. Contains a chapter on visualization/plotting.
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Matlab Documentation for GraphicsMatlab documentation for graphical plots.
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Matlab Documentation: Data Import and AnalysisMatlab documentation for processing data, computing statistics, and exploration.
Mathematica Data Analysis and Visualization Resources
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Hands-on Start to Wolfram MathematicaIntroductory Mathematica book, includes several chapters on working with data and visualization.
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Wolfram Documentation: Data Manipulation and AnalysisMathematica documentation for a variety of data analysis.
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Wolfram Documentation: Visualization and GraphicsMathematica documentation for data visualization and more.
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Digital Research Methods with MathematicaOpen access book from Professor Turkel (History, Univ. of Western Ontario)