COVIs: Supporting Temporal Visual Analysis of Covid-19 Events Usable in Data-Driven Journalism



Roger A. Leite, Victor Schetinger, Davide Ceneda, Bernardo Henz, Silvia Miksch

 External link (DOI) 

 View presentation:2020-10-28T14:10:00ZGMT-0600Change your timezone on the schedule page
2020-10-28T14:10:00Z

Exemplar figure — COVIs: Supporting Temporal Visual Analysis of Covid-19 Events Usable in Data-Driven Journalism

Fast forward

Direct link to video on YouTube: https://youtu.be/vBQW0WPNMrE

Keywords

COVID-19-VisualAnalytics-DataVisualization- Prediction Model-Events-Time-oriented Analysis

Abstract

Figure 1: COVis's coordinated multiple view environment: (A) Control Panel: allows the user to change the graphs scale (linear / log), metric (absolute / per million cohabitants), and dimensions (cases / deaths). (B) Line charts: present four different line charts that are coordinated to support exploration of multiple narratives. Respectively, the charts display the relation between: (B1) time x cases/deaths, (B2) time x tests, (B3) total cases/deaths x last week cases/deaths, and (B4) time x cases/deaths projection length. (C) Events Panel: displays information and source references concerning main events occurred in certain time periods. (D) Events Time Chart: chart presenting the policy changes of a country over time. (E) Country Cards: show information concerning the analysed group of countries, allowing the exclusion and inclusion of different countries into the analysis.