Tile based visual analytics for Twitter big data exploratory analysis
Daniel Cheng, Peter Schretlen, Nathan Kronenfeld, Neil Bozowsky, William Wright · 2013
New tools for raw data exploration and characterization of “big data” sets are required to suggest initial hypotheses for testing. The widespread use and adoption of web-based geo maps have provided a familiar set of interactions for exploring extremely large geo data spaces and can be applied to similarly large abstract data spaces. Building on these techniques, a tile based visual analytics system (TBVA) was developed that demonstrates interactive visualization for a one billion point Twitter dataset. TBVA enables John Tukey-inspired exploratory data analysis to be performed on massive data sets of effectively unlimited size.