A Computational System for Temporal Visual Analysis of Labour Accident Data
Luciana Brito, Mateus Rodrigues, José Gustavo S. Paiva · 2019
This paper presents a system that employs Information Visualization techniques to visually analyse labour accident data, which represents a serious social problem. Our system uses associated geographical and temporal data information to create a hierarchical interactive layout that focuses on highlighting the evolution of accident occurrences in localities over time. We present the results of applying our proposed system on data provided by the Brazilian Federal Labour Prosecution Office, demonstrating the potential of our strategy in analysing the evolution of occurrences over time, highlighting trends, seasonal events, abnormal behaviour, as well as in comparing the behaviour of localities in the same/distinct hierarchical levels, among other tasks. We believe that the proposed system provides an effective environment that may guide the governors in creating public policies to reduce these accidents and grant safety for employees, and that may encourage citizen participation and transparency in governments.