Index

A

• anaconda
  • packages, installed / Packages installed with Anaconda
• Anaconda distribution of Spyder from Continuum Analytics / Types of Python IDE
• Anaconda from Continuum Analytics / Anaconda from Continuum Analytics
• analytics
  • about / Data analysis and insight
• animation / Animation
• Anscombe's quartet
  • URL / Where does visualization fit in?
• array indexing
  • about / Array indexing
  • numerical indexing / Numerical indexing
  • logical indexing / Logical indexing
• Artificial Intelligence (AI)
  • about / An overview of statistical and machine learning
• author-driven narratives
  • about / Author-driven narratives

B

• balloon layout / Balloon layout
• bar graphs
  • about / Bar graphs and pie charts, Bar graphs
• Bayesian linear regression
  • about / Bayesian linear regression
• Bayes theorem
  • about / The Bayes theorem
• Bio package
  • URL / A genetic programming example
• Bokeh / Interactive visualization packages
  • about / Bokeh
• box-and-whisker plot / Distribution
• box plot
  • about / Box plots
  / Distribution
• bubble charts
  • about / Bubble charts

C

• Canopy Express / Canopy from Enthought
• Canopy from Enthought / Types of Python IDE, Canopy from Enthought
• circular layout / Circular layout
• classification methods
  • about / Classification methods
• clustering
  • about / Data processing
• cognitive context
  • URL / Data, information, knowledge, and insight
• Comma Separated Value (CSV) / The Ebola example
• computer simulation
  • about / Computer simulation
  • benefits / Computer simulation
  • types / Computer simulation
  • Python, random package / Python's random package
  • SciPys random / SciPy's random functions
  • examples / Simulation examples
  • signal, processing / Signal processing
  • animation / Animation
  • visualization methods, HTML5 used / Visualization methods using HTML5
  • Julia / How is Julia different from Python?, D3.js for visualization
  • dashboards / Dashboards
• conda
  • about / An overview of conda, An overview of conda
• correlation coefficients / Correlation
• Cython
  • URL / What exactly is Monte Carlo simulation?
  / Packages websites

D

• D3.js / How is Julia different from Python?
  • for visualization / D3.js for visualization, Dashboards
• dashboards / Dashboards
• data
  • about / Data
• data analysis
  • about / Data analysis and insight
• data analytics
  • about / Data analysis and insight
• data collection / Data collection
• data preprocessing
  • about / Data preprocessing
• data processing / Data processing
• datasets
  • getting / Getting datasets
• data source
  • URL / What is a good visualization?, The visualization example in sports
• data structures
  • stacks / Stacks
  • tuples / Tuples
  • sets / Sets
  • queues / Queues
  • dictionaries / Dictionaries
  • tries / Tries
• data transformation
  • about / The transformation of data, Transforming data into information
  • data collection / Data collection
  • data preprocessing / Data preprocessing
  • data processing / Data processing
  • data, organizing / Organizing data
  • datasets, getting / Getting datasets
• data visualization
  • history / Data visualization history
  • before computers / Visualization before computers, The Cholera epidemics in London (1831-1855)
  • URL / Visualization before computers
  • developments / Later developments in data visualization
  • about / Data visualization today
• decision tree
  • about / Decision tree
  • example / An example
• deterministic model
  • about / The deterministic model
  • gross return / Gross returns
• dictionaries
  • about / Dictionaries
  • for matrix representation / Dictionaries for matrix representation
  • sparse matrices / Sparse matrices
  • memoization / Dictionaries for memoization
• diffusion-based simulation
  • about / The diffusion-based simulation
• directed acyclic graph test
  • about / The directed acyclic graph test
• directed graphs
  • about / Directed graphs and multigraphs
• Disco
  • URL / The performance of Python
• Document Object Model (DOM) elements / D3.js for visualization

E

• Ebola example
  • about / The Ebola example
  • URL / The Ebola example
• event listeners / Event listeners

F

• fast Fourier transform (FFT) / Signal processing
• flow network
  • maximum flow / Maximum flow and minimum cut
• font file
  • URL / The Twitter text
• frames per second (fps) / Animation

G

• Gapminder
  • about / Gapminder
• genetic programming
  • eample / A genetic programming example
• geometric Brownian simulation
  • about / Geometric Brownian simulation
• Gestalt perception
  • principles / The Gestalt principles of perception
• good visualization
  • about / What is a good visualization?
• graph-tool
  • about / Graph-tool
  • URL / Graph-tool
  • PageRank / PageRank
• graph data
  • storing / Storing graph data
• graphical user interfaces (GUIs) / Packages websites
• graphs
  • displaying / Displaying graphs
  • igraph / igraph
  • NetworkX / NetworkX
  • clustering coefficient / The clustering coefficient of graphs

H

• histogram / Distribution
• Humanitarian Data Exchange (HDX) / The Ebola example
• human perception
  • URL / How does visualization help decision-making?

I

• IDE tools
  • about / The IDE tools in Python
  • Python 3.x versus Python 2.7 / Python 3.x versus Python 2.7
  • interactive tools, types / Types of interactive tools
• igraph
  • abou / igraph
• information
  • about / Information
  • transforming, to knowledge / Transforming information into knowledge
  • transforming, to insight / Transforming knowledge into insight
• information visualization / Perception and presentation methods
• Integrated Development Environment (IDE) / Development tools
• Interactive Editor for Python (IEP) / Types of Python IDE, Interactive Editor for Python (IEP)
• interactive tools
  • about / Types of interactive tools
  • IPython / IPython
  • Plotly / Plotly
• Interactive visualization packages
  • about / Interactive visualization packages
• IPython
  • URL / Anaconda from Continuum Analytics
  • about / IPython
  / Packages websites

J

• JIT (just-in-time) compilation / The performance of Python
• Julia
  • about / How is Julia different from Python?

K

• k-means clustering
  • about / k-means clustering
• k-nearest neighbor (k-NN)
  • about / k-nearest neighbors
• k-nearest neighbors (kNN) / K-nearest neighbors
• Kernel Density Estimation (KDE)
  • about / KDE plots
• knowledge
  • about / Knowledge

L

• layouts
  • circular layout / Circular layout
  • radial layout / Radial layout
  • balloon layout / Balloon layout
• linear models
  • about / Generalized linear models
• linear regression
  • about / Understanding linear regression, Linear regression
• logical indexing / Logical indexing
• logistic regression
  • about / Logistic regression

M

• machine learning
  • about / An overview of statistical and machine learning
• matplotlib
  • about / Packages websites, About matplotlib
  • sources / About matplotlib
• Matplotlib / Visualization plots with Anaconda
• matplotlib-basemap / Packages websites
• Mayavi / Visualization plots with Anaconda
• MKL functions
  • about / MKL functions
• Monte Carlo simulation
  • about / Monte Carlo simulation, What exactly is Monte Carlo simulation?
  • URL / What exactly is Monte Carlo simulation?
  • inventory problem / An inventory problem in Monte Carlo simulation
  • in basketball / Monte Carlo simulation in basketball
  • volatility plot / The volatility plot
  • implied volatilities / Implied volatilities
• Moving Average Convergence/Divergence (MACD)
  • URL / Obtaining data
• multigraphs
  • about / Directed graphs and multigraphs

N

• 1-nearest neighbor (1-NN)
  • about / k-nearest neighbors
• natural language processing (NLP) tasks / The Naïve Bayes classifier using TextBlob
• Naïve Bayes classifier
  • about / The Naïve Bayes classifier
  • TextBlob used / The Naïve Bayes classifier using TextBlob, The Naïve Bayes classifier using TextBlob
  • TextBlob, installing / Installing TextBlob
• NetworkX / Visualization plots with Anaconda, Packages websites
  • abou / NetworkX
• New York Stock Exchange (NYSE) / Plotting the stock price chart
• numerical indexing / Numerical indexing
• Numeric Python (NumPy) package / SciPy's random functions
• NumPy
  • about / NumPy, SciPy, and MKL functions, NumPy
  • universal functions / NumPy universal functions
  • shape manipulation / Shape and reshape manipulation
  • reshape manipulation / Shape and reshape manipulation
  • interpolation, example / An example of interpolation
  • vectorizing functions / Vectorizing functions
  • linear algebra, summary / Summary of NumPy linear algebra
  / Packages websites

P

• pajek format
  • URL / igraph
• pajek networks
  • URL / igraph
• Pandas / Packages websites
• perception and presentation methods
  • about / Perception and presentation methods
  • Gestalt principles / The Gestalt principles of perception
• pie charts
  • about / Bar graphs and pie charts, Pie charts
• planar graph test
  • about / The planar graph test
• Plotly
  • about / Plotly
  / Visualization plots with Anaconda
• plots
  • animated and interactive plots, creating / Creating animated and interactive plots
• portfolio valuation
  • about / The portfolio valuation
• positive sentiments
  • viewing, word clouds used / Viewing positive sentiments using word clouds
• Principal component analysis (PCA)
  • about / Principal component analysis
  • scikit-learn, installing / Installing scikit-learn
• Probability Density Function (PDF)
  • about / KDE plots
• PyCharm / Types of Python IDE, PyCharm
• PyDev / Types of Python IDE, PyDev
• pygooglechart / Visualization plots with Anaconda
• PyQt / Packages websites
• PySide / Packages websites
• Python
  • IDE tools / The IDE tools in Python
  • performance / The performance of Python
  • packages / Packages websites
• Python 3.x
  • versus Python 2.7 / Python 3.x versus Python 2.7
• Python IDE, types
  • about / Types of Python IDE
  • PyCharm / PyCharm
  • PyDev / PyDev
  • Interactive Editor for Python (IEP) / Interactive Editor for Python (IEP)
  • Canopy, from Enthought / Canopy from Enthought
  • Anaconda from Continuum Analytics / Anaconda from Continuum Analytics
• Python Imaging Library (PIL) / Packages websites

Q

• queues
  • about / Queues

R

• radial layout / Radial layout
• reader-driven narratives
  • about / Reader-driven narratives
  • Gapminder / Gapminder
  • union address, state / The State of the Union address
  • USA, mortality rate / Mortality rate in the USA
  • example narratives / A few other example narratives
• Relative Strength Indicator (RSI)
  • URL / Obtaining data

S

• Scalar selection
  • about / Scalar selection
• scatter plots
  • about / Scatter plots and bubble charts, Scatter plots
  • URL / Scatter plots
• Schelling Segregation Model (SSM)
  • about / Schelling's Segregation Model
• Scientific PYthon Development EnviRonment (Spyder) / Anaconda from Continuum Analytics
• scientific visualization / Perception and presentation methods
• Scikit / Packages websites
• scikit-learn
  • installing / Installing scikit-learn
• scikit-learn package
  • URL / Linear regression
• SciPy
  • about / NumPy, SciPy, and MKL functions, SciPy
  • packages / SciPy
  • linear equations, example / An example of linear equations
  • vectorized numerical derivative / The vectorized numerical derivative
  / Packages websites
• Seaborn / Packages websites
• sets
  • about / Sets
• signal processing / Signal processing
• slicing
  • about / Slicing
  • flat used / Slice using flat
• social networks
  • analysis / Analysis of social networks
• sparse matrices
  • visualize sparseness / Visualizing sparseness
• sports example
  • about / A sports example
  • URL / A sports example
  • results, visually representing / Visually representing the results
• Spyder
  • about / An overview of Spyder
  • components / An overview of Spyder
• square map plot / The square map plot
• SSA module
  • URL / Stochastic block models
• stacks
  • about / Stacks
• statistical learning
  • about / An overview of statistical and machine learning
• Stochastic block models
  • about / Stochastic block models
• Stochastic Differential Equation (SDE) / Simulation examples
• stochastic model
  • about / The stochastic model
  • Monte Carlo simulation / Monte Carlo simulation
  • portfolio valuation / The portfolio valuation
  • simulation model / The simulation model
  • geometric Brownian simulation / Geometric Brownian simulation
  • diffusion-based simulation / The diffusion-based simulation
• stock price
  • URL / Obtaining data
• stories
  • creating, with data / Creating interesting stories with data
  • reader-driven narratives / Why are stories so important?, Reader-driven narratives
  • author-driven narratives / Why are stories so important?, Author-driven narratives
• Support vector machines (SVM)
  • about / Support vector machines
• surface-3D plot / The surface-3D plot
• sypder-app / Anaconda from Continuum Analytics

T

• tab completion
  • URL / Anaconda from Continuum Analytics
• TextBlob
  • URL / The Twitter text, The Naïve Bayes classifier
• threshold model
  • about / The threshold model
• tries
  • about / Tries
• tuples
  • about / Tuples
• Twitter text
  • about / The Twitter text

V

• Veusz / Visualization plots with Anaconda
• VisPy / Interactive visualization packages
  • about / VisPy
  • URL / VisPy
• visualization
  • benefits / How does visualization help decision-making?
  • URL / How does visualization help decision-making?, Visualization plots
  • about / Where does visualization fit in?
  • plots / Visualization plots
  • planning, need for / Why does visualization require planning?
  • scientific visualization / Perception and presentation methods
  • information visualization / Perception and presentation methods
  • matplotlib used / Visualization using matplotlib
• visualization, best practices
  • about / Some best practices for visualization
  • comparison and ranking / Comparison and ranking
  • correlation / Correlation
  • distribution / Distribution
  • location-specific or geodata / Location-specific or geodata
  • part to whole / Part-to-whole relationships
  • trends over time / Trends over time
• visualization, interactive
  • about / Interactive visualization
  • event listeners / Event listeners
  • layouts / Layouts
• visualization example
  • in sports / The visualization example in sports
• visualization plots, with Anaconda
  • about / Visualization plots with Anaconda
  • surface-3D plot / The surface-3D plot
  • square map plot / The square map plot
• visualization tools, in Python
  • about / Visualization tools in Python
  • development tools / Development tools
  • Canopy, from Enthought / Canopy from Enthought
  • Anaconda, from continuum analytics / Anaconda from Continuum Analytics
• VSTOXX data
  • URL / The volatility plot, Implied volatilities

W

• Wakari / Interactive visualization packages
• web feeds
  • about / Web feeds
• word clouds
  • about / Word clouds
  • installing / Installing word clouds
  • input for / Input for word clouds
  • web feeds / Web feeds
  • Twitter text / The Twitter text
  • stock price chart, plotting / Plotting the stock price chart
  • data, obtaining / Obtaining data
  • used, for viewing positive sentiments / Viewing positive sentiments using word clouds
• World Health Organization (WHO) / The Ebola example