Resources

This page is an archive. Visit Data visualization - Winter 2017

Data Visualization - Winter 2016

Programmatic Tools

1. Javascript D3JS - Data Driven Documents (✓ Class tutorial)
   • Tutorial
   • Interactive Data Visualization for the Web
   • D3 for Mere Mortals
   • Using local servers
   • Don’t like Javascript, take a look at Coffee Script
2. Javascript D3JS augmentation
   • c3js - D3-based reusable chart library
   • metrics graphics - for time series data
   • Visdock - supports selection and annotation
3. Javascript Mapping
   • GeoJS
   • LeafletJS
4. Javascript Network Visualization
   • Alchemy
   • Keylines - Commercial
   • Hive plot
   • SigmaJS
   • VivaJS
   • List of Javascript network libraries
5. Javascript Google Charts
6. Javascript Heatmap.js
7. . Python Bokeh (✓ Class tutorial)
   • Quick Start
   • Tutorial
   • User Guide
8. Python NetworkX (✓ Class tutorial)
9. Python Plot.ly
10. Processing
11. C++ VTK

Software applications

1. Chrono Vis
2. Cytoscape (✓ Class demo)
3. Gephi
4. Paraview
5. Tableau (✓ Class demo)
6. VisIt (Use executable, do not compile. Download version 2.9.2 not 2.10) (✓ Class tutorial)
   • Download Sample data ~200 mb. Unzip and move to your Desktop
   • Download Comet host file. Unzip and move this file to ~/.visit/hosts (on linux, mac) or ~/Documents/VisIt/hosts (on windows)
   • Manuals and tutorials
   • Visit CSV to Binary Example

Color resources

1. Color tools (websites)
   • Adobe Color
   • Color Brewer
   • Color Proportions of an Image
   • Paletton’s Color Schemer Designer
2. Color deficiency simulators (websites)
   • Color blindness
   • etree
   • Re Hue
   • Vischeck Also has plugins for Photoshop and ImageJ
3. Mobile apps
   • Alber’s Interaction of color IOS only (Free and Paid)
   • Adobe Capture IOS and Andriod (Free)
   • Color blindness Android only
   • ColorSchemer Touch IOS only (Free)
   • myPantone IOS and Andriod (Paid)
   • Re Hue Android only

Additional Books

• Javascript:
  • Javascript: The Good Parts
• Visualization:
  • Information Visualization, Perception for Design - Colin Ware
  • Envisioning Information - Edward Tufte

Additional Readings

• Seven classic foundational visualization papers
• Design
  • Algebraic Visualization Design. Carlos Scheidegger and Gordon Kindlmann
  • Multi-Scale Banking to 45 degrees J. Heer & Manish Agarwala.
  • Taxonomy-Based Glyph Design—With a Case Study on Visualizing Workflows of Biological Experiments. Eamonn Maguire, Philippe Rocca-Serra, Susanna-Assunta Sansone, Jim Davies, and Min Chen.
  • Glyph-Based Visualization: Foundations, Design Guidelines, Techniques and Applications. Rita Borgo, Johannes Kehrer, David H.S. Chung, Eamonn Maguire, Robert S. Laramee, Helwig Hauser, Matthew Ward, and Min Chen.
• Networks
  • Reducing Snapshots to Points: A Visual Analytics Approach to Dynamic Network Exploration. Stef van den Elzen, Danny Holten, Jorik Blaas, Jarke van Wijk
  • HOLA: Human-like Orthogonal Network Layout. Steve Kieffer, Tim Dwyer, Kim Marriott, Michael Wybrow
  • TargetVue: Visual Analysis of Anomaly User Behaviors in Online Communication Systems. Nan Cao, Conglei Shi, W. Sabrina Lin, Jie Lu, Yu-Ru Lin, Ching-Yung Lin
• Tables
• Automatic Selection of Partitioning Variables for Small Multiple Displays. Anushka Anand, Justin Talbot.
• Visually Exploring Transportation Schedules. Cesar Palomo, Zhan Guo, Claudio Silva, Juliana Freire
• Time series
• Time Curves: Folding Time to Visualize Patterns of Temporal Evolution in Data. Benjamin Bach, Conglei Shi, Nicolas Heulot, Tara Madhayastha, Tom Grabowski, Pierre Dragicevic
• TimeNotes: A Study on Effective Chart Visualization and Interaction Techniques for Time-Series Data. James Walker, Rita Borgo, Mark Jones.
• The Power of Representation, In Things That Make Us Smart. Norman.
• Optimal Sets of Projections of High-Dimensional Data. Dirk Joachim Lehmann, Holger Theisel
• Decision to launch the Challenger, Visual Explanations: Images and Quantities, Evidence and Narrative. E. Tufte ** Critique of Tufte’s argument
• Data-Ink and Graphical Redesign, In The Visual Display of Quantitative Information. Tufte
• Small Multiples, In Envisioning Information. Tufte
• Chartjunk, In The Visual Display of Quantitative Information. Tufte.
• The Word Tree, an Interactive Visual Concordance. Martin Wattenberg and Fernanda B. Viégas.
• How do People Make Sense of Unfamiliar Visualization?: A Grounded Model of Novice’s Information Visualization Sensemaking. Sukwon Lee, Sung-Hee Kim, Ya-Hsin Hung, Heidi Lam, Youn-ah Kang, Ji Soo Yi.

Websites

1. Meta resource
2. List of visualization tools
3. Catalog of time series data visualization
4. Name Voyager
5. Visualization Timeline
6. Ngram viewer
7. A periodic table of visualization methods
8. Junk Charts
9. A Quick Illustrated History of Visualisation
10. Responsive D3
11. D3 Blocks
12. Bad visualization archive
13. The evolution of the web

Datasets (alphabetic listing)

1. CAIDA datasets on ISP & networks
2. 1001 Datasets and Data Repositories (Messy list of lists, but extensive)
3. 100+ Interesting Datasets for Statistics (Pruned list with descriptions of each for humans!)
4. KD Nuggets - several free datasets
5. Koblenz Network Collection
6. NOAA
7. Stanford Large Network Dataset Collection
8. UCI Machine Learning Dataset Repository
9. U.S. census data
10. U.S. cities, counties & state open data
11. U.S health data
12. Yahoo News Feed dataset, version 1.0 (1.5TB)