This page represents a growing compilation of resources you may find helpful throughout the semester. If you are aware of other helpful resources that ought to go on this page, email me.

A good general-purpose guide can be found in the Best Practices Guide by the Royal Statistical Society.

D3:

• Examples
• Tutorials
• Documentation

Front-End Web Stack:

• Tutorials: From Tamara Munzner's VIS Course
• HTML: Mozilla Dev Network
• CSS: Mozilla Dev Network; CSS Zen Garden
• SVG: Tutorial
• Javascript: Mozilla Dev Network; Javascript Garden; Eloquent Javascript; Design Patterns
• Javascript Frameworks: React; Vue
• Syntax Alternatives: Typescript

Other Vis Toolkits:

• Vega
• Vega-Lite
• P5.js and Processing
• Matplotlib and Seaborn (for Python)
• GGPlot2 (for R)

Github:

• Tutorials

Web Scraping:

• Beautiful Soup (Python)

• Tableau
• Spotfire
• Qlik

• Census.gov
• Data.gov
• Tableau Data
• /r/opendata
• Quandl
• Metro Boston Data Common
• CDC
• Real Climate
• UK Office for National Statistics
• World Bank Data Catalog
• Basketball
• UN Data
• WHO Data
• OECD Stats

• Color Brewer 2.0
• 0 to 255

• Data Visualization and the Modern Imagination
• Baby Name Wizard

• Alberto Cairo: How Charts Lie; The Truthful Art; The Functional Art
• Edward Tufte: The Visual Display of Quantitative Information; Envisioning Information
• Colin Ware: Information Visualization: Perception for Design
• David McCandless: Information is Beautiful
• Tamara Munzner: Visualization Analysis & Design

Blogs:

• As I See It (John Stasko)
• EagerEyes (Robert Kosara)
• Michael Correll
• Nightingale
• Data Stories Podcast
• Visual Cinnamon (Nadieh Bremer)
• Shirley Wu
• /r/dataisbeautiful
• Information is Beautiful
• Flowing Data
• The Functional Art (Alberto Cairo)
• Storytelling with Data
• Visual Business Intelligence (Stephen Few)
• Stat Modeling
• Visual Complexity (Manuel Lima)

Document Scanning:

• CamScanner (useful for scanning in paper sketches to submit assignments online)

Technology

• D3
• Tableau (free version available via Tableau for Higher Education)
• Github

Textbooks

• The Visual Display of Quantitative Information (VDQI), Edward Tufte (Optional)
• How Charts Lie: Getting Smarter about Visual Information, Alberto Cairo (Optional)