Making sense of daily life data: From commonalities to anomalies: VAST 2014 Mini Challenge #2

In this paper, we report the approach and results on the VAST 2014 Mini-Challenge 2: Analysis Movement and Tracking data of GAStech Employees´ daily lives. Based on the commercial interactive visualization software Tableau[l], we follow the sense-making loop for analysis of the massive multi-dimensional, multi-source and time-varying data sets. The findings show that we can effectively identify the patterns and discovery the anomaly from these complex data sets.