Data visualization

Visual perception is the most important perception pathway for human. Visualizing data is an essential way to understand data.

Topics

Principles

• Visual perception | Color
• Gestalt psychology

Types

• Graph visualization
• Geovisualization
• Dashboard
• Music notation, Music visualization
• Timeline
• Interactive visualization
• Physical visualization

Education

• Data visualization literacy
• Books
• Courses
• Scientific visualization

Tools

• Python/Visualization

Examples

• Visualization projects

Web sites

• The Data Visualisation Catalogue
• http://www.visualizing.org/
• http://www.visualcomplexity.com/vc/
• http://www.visualisingdata.com
• http://flowingdata.com/
• The top ten worst graphs
• https://www.react-graph-gallery.com
• https://github.com/cxli233/FriendsDontLetFriends

Visualization projects

Methods

Overviews

• A Tour through the Visualization Zoo
• The data visualization catalogue

Specific methods

• Bar graph
• Edge bundling
• Histogram
• Slopegraph
• Sparkline
• Timeline
• Treemapping
• Word cloud

Tools

• A selection of tools
• http://techslides.com/50-javascript-charting-and-graphics-libraries/

General

• Processing
• Cinder
• OpenGL
• Tableau - http://www.tableausoftware.com/
• Bokeh

Javascript/Web

• Protovis –> d3 - http://mbostock.github.com/d3/
• dygraphs - http://dygraphs.com/
• SIMILE - timeline visualization http://www.simile-widgets.org/timeline/
• JavaScript InfoVis Toolkit - http://thejit.org/demos/
• cubism.js - time series visualization
• Binify - heatmap

Scientific

• gnuplot
• R
• http://code.google.com/p/svgfig/ - Quantitative drawing in Python and SVG

3D

• Grasshopper 3D

Vector graphics

• http://paperjs.org/about/

Conversation analysis

• Discursis

History

• Ph.D. Thesis by Max Schich

• The Oxford History of Western Art (ed. Martin Kemp) 2000

• Martin Kemp: The Science of Art: Optical Themes in Western Art from Brunelleschi to Seurat, Yale University Press
• Anthony Grafton: Cartographies of Time: A history of the Timeline
• Palmer: Vision Science 1997
• Rudolf Arnheim: Art and visual Perception
• Ernst Gombrich: Art & Illusion
• Josef Albers: The interaction of colors
• Wassily Kandinsky
• Helvetica. The Movie
• Katy Borner
• Otl Aicher

Articles

• 데이터 시각화 공부하기 by Alan Kang

• A Tour through the Visualization Zoo by Jeffrey Heer, Michael Bostock, Vadim Ogievetsky

• 데이터 시각화와 인포그래픽 관련 책 소개 (1)

  • 데이터 시각화와 인포그래픽 관련 책 소개 (2)

• http://well-formed-data.net/archives/669/on-the-role-of-bacon-in-visualization

• BBC: Diagrams that changed the world
• Nightingale’s Rose
• alankang:정보시각화 공부하기
• alankang:엑셀로 웹페이지 긁어와서 시각화하기
• Four Easy Visualization Mistakes to avoid
• How can we get our map colours right? How open journalism helped us get better
• Tradeoffs in information graphics by Andrew Gelman and Antony Unwin
• Visualizing vastness by Steven Strogatz
• Why Most People’s Charts & Graphs Look Like Crap
• How to Visualize and Compare Distributions
• Junk Charts Trifecta Checkup: The Definitive Guide

Documentaries

• BBC:The Beauty of Diagrams
• Journalism in the age of data

Talks

• Information Visualization for Large-Scale Data Workflows by Michael Conover
• Data visualization workshop by Sam Way and Daniel Larremore

References

Papers

• Interactive Dynamics for Visual Analysis by Jeffrey Heer and Ben Shneiderman
• Graphical Inference for Infovis by Hadley Wickham et al., connecting visualization with Statistics