Volume 44 - Article 36 | Pages 865–878
Editorial to the Special Issue on Demographic Data Visualization: Getting the point across – Reaching the potential of demographic data visualization
|Date received:||04 Sep 2020|
|Date published:||20 Apr 2021|
|Keywords:||data visualization, demographic data, demography|
|Weblink:||You will find all publications in this Special Collection on Data Visualization here.|
Background: Demography is full of data visualization challenges, such as age-period-cohort effects or life course trajectories. Innovative approaches to visualizing such complex data structures have been proposed from within and outside the discipline. However, demographic data visualizations presented in the scientific literature often fall short of the state-of-the-art.
Objective: We discuss what makes a good data visualization and why it is worthwhile to strive for state-of-the-art visualization. We highlight the distinction between exploratory and explanatory graphics, and relate the seven papers that comprise the Demographic Research special collection on data visualization to the broader endeavor of data visualization in demography.
Contribution: We suggest a set of best practice rules that are intended to provide general guidance for researchers attempting to produce meaningful and coherently designed figures from their data.
Tim Riffe - Max-Planck-Institut für Demografische Forschung, Germany
Nikola Sander - Bundesinstitut für Bevölkerungsforschung, Germany
Sebastian Kluesener - Bundesinstitut für Bevölkerungsforschung, Germany
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