Web development tools for interactive data visualization. These are notes originally from a previous post.
D3 uses vocabulary that comes from webstandards of html, css, and svg. An alternative project is Processing.js, which can do alot, but is a whole different set of methods.
- Here is an implementation of OpenCV in processing.js](https://github.com/atduskgreg/opencv-processing)
- Processing is big in artistic, computational visualizations
D3 basically uses html, css, and svg to produce nice graphics for quantitative data.
Check out this beautiful matrix with different ordering options rendered using D3 on a Les miserables co-occurence dataset from Donald Knuth.
Mike Bostock is the author github/mbostock
Web visualization with R bindings
plotly library for interactive graphs in webbrowser. With python, R, matlab.
Contour plots of the volcano dataset using R --> json --> D3.
Simple examples combing R, gridSVG package and d3.js to make interactive graphics (tool tips on a scatterplot) from any grid based graphics in R (lattice or ggplot2)