- ELK stack, system and BI dataviz super fast - WebGL, 3d dataviz entry point - R, explore data like a data scientist boss ! - 3d printing, dataviz in real life - processing - meet the data art - open refine, import csv, enrich, export
helpers - dom, array, scales, color swatches etc... - a dom manipulation library - a low level lib: make a bart chart maybe painfull at the beginning - but you can make really advanced visualization, with full control
or those who want to lear basics. For your own need you can use more high level tools like d3 wrapper lib, or lib focused on specific viz (bar chart, map etc..).
extra cheap dataviz and stuning - but ! you can query es too -> d3.js - elasticsearch + aggregations framework ajax call -> amazing stats to d3.js ! - explore timeline data quickly: very handy
csv and so on - explore data, aggregate, apply stats, find max, min, percentiles, and so on.. - produce graphs - R is not for producing dataviz - it is the perfect tool to explore your data
similar to R: has its own advantage - open source / free : run in browser - export templates are really amazing , endless possibilities - any time you have csv, think «open refine»
part of your dataviz - imagine some part of this graph are drived by data: - length of some path ? - brightness of some points ? - add maybe 3d or geo located data ?