Making Sense of Daily Life Data: From Commonalities To Anomalies
|Title||Making Sense of Daily Life Data: From Commonalities To Anomalies|
|Publication Type||Conference Paper|
|Year of Publication||2014|
|Authors||Wang, J, Mi, P, North, C|
|Conference Name||VAST Challenge 2014|
|Keywords||Geo-visualization, human information interaction, Intelligence Analysis, sense-makingloop, visualanalysis|
We report the approach and results to solve the VAST 2014 Mini-Challenge 2 (MC2). Based on the commercial interactive visualization software Tableau, we follow the notional model of sensemaking loop for analysis of the massive multi-dimensional, multi-source and time-varying data sets in MC2. Our findings show that we can effectively identify the commonalities and anomalies to understand the GAStech employees' daily life.