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Mathematica data visualization

Mathematica data visualization

By : Saquib
3.9 (10)
Buy this Book
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Mathematica data visualization

Mathematica data visualization

3.9 (10)
By: Saquib
Buy this Book

Overview of this book

If you are planning to create data analysis and visualization tools in the context of science, engineering, economics, or social science, then this book is for you. With this book, you will become a visualization expert, in a short time, using Mathematica.
Table of Contents (7 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Visualization as a Tool to Understand Data
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1. Visualization as a Tool to Understand Data
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The importance of visualization
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Types of datasets
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Mathematica as a tool for visualization
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Getting started with Mathematica
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Upcoming chapters
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Further reading
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Summary
2
2. Dissecting Data Using Mathematica
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2. Dissecting Data Using Mathematica
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Data structures and core languages
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Data importing and basic plots
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Further reading
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Summary
3
3. Time Series and Scientific Visualization
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3. Time Series and Scientific Visualization
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Periodic patterns in time series
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Interactive visualization of financial data
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Isocontour and molecular visualization
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Further reading
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Summary
4
4. Statistical and Information Visualization
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4. Statistical and Information Visualization
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Statistical visualization
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Text visualization
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Graphs and networks
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Further reading
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Summary
5
5. Maps and Aesthetics
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5. Maps and Aesthetics
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Map visualization
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Aesthetics in visualization
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Deploying Mathematica visualizations
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Looking forward
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Further reading
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Summary
6
Index
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Index

Summary

In this chapter, we have learned the basics of Mathematica programming that are essential for data loading and manipulation. Some frequently used list operations are described, along with the basics of functions and conditionals. We encounter numerical datasets for the first time in the book, using Import to load the datasets into Mathematica. The datasets are visualized using the ListPlot, ListPointPlot3D, and ListLogPlot commands. We have also learned about some basic styling of our plots. In the next chapter, we will look at more ways to visualize time series data, and get a taste of visualizing some commonly used scientific data formats.

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Tech Concepts
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Programming languages
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