Visual Statistical Analysis of Environmental Sensor Data

Abstract

We attempted the VAST MC2 challenge following a statistical modelling approach along with interactive visualizations to analyse and extract insights from the data. We use Bayesian networks to model dependencies between given and derived data attributes along with visual analytics techniques to answer the questions posed by the challenge.