This is a collection of resources about Data Visualization for Learn To Code With Us March 2014.
Books (Overviews)
- Beautiful Visualization: Looking at Data through the Eyes of Experts (Theory in Practice)
- Visualizing Data: Exploring and Explaining Data with the Processing Environment
- Visual Explanations: Images and Quantities, Evidence and Narrative
- Other books will be available for different programming languages.
Videos
- Carlyn’s YouTube Playlist
- Many Videos from the From Data to Discovery conference
- IBM Big Data and Analytics
Online Tools (non programmer friendly)
These are tools that let the user create their own visualizations. They are also good sources for inspiration and DATA.
- Visualizing.org : “A community of creative people making sense of complex issues through data and design”
- Many Eyes : “This site is set up to allow the entire internet community to upload data, visualize it, and talk about their discoveries with other people. “
- Gap Minder : “Fighting devastating ignorance with fact-based worldviews everyone can understand.”
- plot.ly : “Plotly is a collaborative data analysis and graphing tool.”
- An article listing 33 tools
Software Development Tools
- Python: Pandas, An article listing more options
- Ruby: Article by Chris Lowe on how to do it
- JavaScript: D3.js, High Charts
- C++: cinder
- Arduino: With Processing, plot.ly api
Examples
- 14 World-Changing Data Visualizations, From the Last 4 Centuries
- “The Office for Creative Research is a multidisciplinary research group exploring new modes of engagement with data, through unique practices that borrow from both the arts and sciences. OCR clients are research partners, helping to pose, refine and ultimately solve difficult problems with data.”
- NYU’s Center for Urban Science and Progress, Urban Informatics and the Urban Systems Collaborative use data to improve city life.
- Wikipedia article on Scientific Visualization
- Martin Wattenberg and Fernanada Viégas
- Blog of Nathan Yau, Flowing Data