Resources

Data Visualization - Winter 2022

Programmatic Tools

1. Javascript D3JS - Data Driven Documents (✓ Class tutorial)
   • Tutorial
   • Interactive Data Visualization for the Web
   • D3 for Mere Mortals
   • Using local servers
2. Javascript D3JS augmentation
   • c3js - D3-based reusable chart library
   • Cross filter - supports linked interaction
   • metrics graphics - for time series data
   • Visdock - supports selection and annotation
3. Javascript Vega-lite - generates visualization with json specification
4. Javascript Mapping
   • GeoJS
   • LeafletJS
5. Javascript Network Visualization
   • Alchemy
   • Keylines - Commercial
   • Hive plot
   • SigmaJS
   • VivaJS
   • List of Javascript network libraries
6. Javascript Google Charts
7. Javascript Heatmap.js
8. Python Altair (✓ Class tutorial)
9. Python Bokeh (✓ Class tutorial)
   • Quick Start
   • Tutorial
   • User Guide
10. Python NetworkX (✓ Class tutorial)
11. Python Plot.ly
12. Processing
13. C++ VTK

Software applications

1. Chrono Vis
2. Cytoscape
3. Gephi
4. Paraview
5. Tableau (✓ Class tutorial)
6. VisIt
   • Visit CSV to Binary Example

Color resources

1. Color tools (websites)
   • Adobe Color
   • Color Brewer Recommended
   • Color Proportions of an Image
   • HCL Wizard Recommended
   • Paletton’s Color Schemer Designer
   • SciVis color Recommended
   • Viz Palette
2. Color deficiency simulators (websites)
   • Colbis
   • etree
   • HCL Wizard
   • 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.
• Dimentionality reduction
  • SeekAView: An intelligent Dimensionality Reduction Strategy for Navigating High-Dim Data Spaces. Josua Krause, Aritra Dasgupta, Jean-Daniel Fekete, Enrico Bertini. Live Demonstration
• Networks
  • Hive Plots — Rational Approach to Visualizing Networks M Krzywinski, I Biro, S Jones, M Marra
  • 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.
  • Timelines Revisited: A Design Space and Considerations for Expressive Storytelling Matthew Brehmer, Bongshin Lee, Benjamin Bach, Nathalie Henry Riche, and Tamara Munzner
• 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. Keyvis.org - Keyword search for Vis research papers
2. Meta resource
3. List of visualization tools
4. Catalog of time series data visualization
5. Name Voyager
6. Visualization Timeline
7. Ngram viewer
8. A periodic table of visualization methods
9. Junk Charts
10. A Quick Illustrated History of Visualisation
11. Responsive D3
12. D3 Blocks
13. Bad visualization archive
14. 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) Original source - shutting down
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. San Diego City data
8. Stanford Large Network Dataset Collection
9. UCI Machine Learning Dataset Repository
10. U.S. census data
11. U.S. cities, counties & state open data
12. U.S health data
13. Yahoo News Feed dataset, version 1.0 (1.5TB)