Visualizing Urban and Demographic Data in R with ggplot2

This lesson demonstrates how to use R's ggplot2 package to create sophisticated data visualizations through a 'grammar of graphics' framework. Using historical data about European sister-city relationships in the post-second world war period, including partnerships, population sizes, and geographic distances, the lesson guides readers through the process of creating various plots while exploring urban and demographic patterns.

Authors

Publication Details

Journal
The Programming Historian
Published
2025-03-27
DOI
https://doi.org/10.46430/phen0123
Citations
1
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
2.18
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article

Visualizing Urban and Demographic Data in R with ggplot2

Igor Sosa Mayor, Nabeel Siddiqui
1 citations
The Programming Historian
Human Mobility and Location-Based Analysis
2.18
article

Visualizing Urban and Demographic Data in R with ggplot2

Igor Sosa Mayor, Nabeel Siddiqui
article en
1 citations

Abstract

This lesson demonstrates how to use R's ggplot2 package to create sophisticated data visualizations through a 'grammar of graphics' framework. Using historical data about European sister-city relationships in the post-second world war period, including partnerships, population sizes, and geographic distances, the lesson guides readers through the process of creating various plots while exploring urban and demographic patterns.

The Programming Historian(14)
Openalex Percentile: Top 15%
Human Mobility and Location-Based Analysis
2.18
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Visualizing Urban and Demographic Data in R with ggplot2 — Igor Sosa Mayor, Nabeel Siddiqui · The Programming Historian (2025) | TGRS Research Map | TGRS