MathematicaDataVisualization - (EPUB全文下载)

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Mathematica Data Visualization
Table of Contents
Mathematica Data Visualization
Credits
About the Author
About the Reviewers
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Free access for Packt account holders
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Downloading the color images of this book
Errata
Piracy
Questions
1. Visualization as a Tool to Understand Data
The importance of visualization
Types of datasets
Tables
Scalar fields
Time series
Graphs
Text
Cartographic data
Mathematica as a tool for visualization
Getting started with Mathematica
Creating and selecting cells
Evaluating a cell
Suppressing output from a cell
Cell formatting
Commenting
Aborting evaluation
Upcoming chapters
Further reading
Summary
2. Dissecting Data Using Mathematica
Data structures and core languages
Introducing lists
Nested lists
Matrices
Constructing lists programmatically
Table entries with multiple elements
Accessing elements from a list
Applying set operations on lists
Functions and conditionals
Declaring and using functions
Conditionals
Further core language
Data importing and basic plots
Importing data into Mathematica
SetDirectory[] and NotebookDirectory[]
Loading the dataset
Basic plotting functions
ListPlot
Styling our plots
Plot legends
3D point plots
Log plots
Further reading
Summary
3. Time Series and Scientific Visualization
Periodic patterns in time series
Sector charts
Simulating Internet activity
SectorChart and its options
Interactive visualization of financial data
The DateListPlot function
Adding interactivity – preliminaries
Intermission – Graphics and Show
Adding interactivity – Dynamic and Refresh
Isocontour and molecular visualization
Introduction to isocontours
Example project – protein molecule visualization
Loading and visualizing the protein molecule
Preparing the isocontour plots
Adding interactivity – manipulate
Isosurface and styling
Thinking like a visualization scientist – isovalue analysis
Further reading
Summary
4. Statistical and Information Visualization
Statistical visualization
The swiss bank notes dataset
Histograms and charts
Histogram
PairedHistogram
Histogram3D
PieChart
BubbleChart
Choosing appropriate plots
A glimpse of high-dimensional data
Similarity maps
Projecting information to low dimensions
Visualizing genuine and counterfeit clusters
Similarity map for smaller datasets
Things that can ............

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