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Here we list resources for additional studies
- Official D3 Site
- Official D3 Wiki
- D3 API Reference
- D3 Tutorial by Scott Murray (highly recommended! - Required D3 textbook is based on this.)
- D3 on Stack Overflow
- D3.js Google Group
- Mike Bostock's site
- D3.js Gallery
- Mike Bostock on bl.ocks.org
- Jérôme Cukier and Scott Murray's D3 tutorial at the Strata Conference
- D3 For Mere Mortals
- Mike Bostock's D3 Tutorial
- Vadim's Lecture Slides, D3
- Jerome Cukier's D3 Cheat Sheet
- FlowingData D3 Tips
- D3, Conceptually
- D3 Tutorial Videos by Ian Johnson - Vol I
- D3 Tutorial Videos by Ian Johnson - Vol II
- D3 Tips and Tricks
- TopoJson
- D3 Gallery
- Enabling Web Developer Extensions in the Browser
- Eloquent Javascript Book
- Mozilla Developer Network — See DevDocs for unified documentation on all web technologies
- Dive Into HTML5 - Homepage
- Dive Into HTML5 - Canvas
- GitHub Client for Mac
- GitHub Client for Windows
- SourceTree for Mac and Windows
- TortoiseGit for Windows
These tools help you to get an idea about the shape and properties of datasets and let you produce good (standard) plots.
Python is great for data analysis and for data scraping.
-
Pattern - a data scraping library
-
Beautiful Soup - the "mother" scraping library
- Wolfram Alpha
- Quandl
- Datamob
- Factual
- Metro Boston Data Common
- Census.gov
- Data.gov
- Dataverse Network
- Infochimps
- Linked Data
- Guardian DataBlog
- Data Market
- Reddit Open Data
- Climate Data Sources
- Climate Station Records
- CDC Data
- World Bank Catalog
- Free SVG Maps
- UK Office for National Statistics
- StateMaster