Editorial to the Special Issue on Demographic Data Visualization: Getting the point across – Reaching the potential of demographic data visualization

Tim Riffe, Sebastian Kluesener and Nikola Sander
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Tim Riffe: Euskal Herriko Unibertsitatea (University of the Basque Country)
Sebastian Kluesener: Bundesinstitut für Bevölkerungsforschung (BiB)
Nikola Sander: Bundesinstitut für Bevölkerungsforschung (BiB)

Demographic Research, 2021, vol. 44, issue 36, 865-878

Abstract: 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.

Keywords: data visualization; demography; demographic data (search for similar items in EconPapers)
JEL-codes: J1 Z0 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:dem:demres:v:44:y:2021:i:36

DOI: 10.4054/DemRes.2021.44.36

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