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 Practical Data Analysis
Transform, model, and visualize your data through hands-on projects, developed in open source tools
Overview
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Explore how to analyze your data in various innovative ways and turn them into insight
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Learn to use the D3.js visualization tool for exploratory data analysis
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|  |  Discontinuity and Complexity in Nonlinear Physical Systems
Discontinuity in Nonlinear Physical Systems explores recent developments in experimental research in this broad field, organized in four distinct sections. Part I introduces the reader to the fractional dynamics and Lie group analysis for nonlinear partial differential equations. Part II covers chaos and complexity in nonlinear Hamiltonian... |  |  Collision-Based Computing
Collision-Based Computing presents a unique overview of computation with mobile self-localized patterns in non-linear media, including computation in optical media, mathematical models of massively parallel computers, and molecular systems.
It covers such diverse subjects as conservative computation in billiard ball models... |
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 MATLAB Control Systems Engineering
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or... |  |  |  |  Minitab Cookbook
With over 110 practical recipes, this is the ideal book for all statisticians who want to explore the vast capabilities of Minitab to organize data, analyze it, and visualize it with impactful graphs.
Overview
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Gain an in-depth understanding of data formatting in Minitab
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Understand the steps...
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