Classification
- encoding
Attestation
- English definition: ggplot2 reference
Sources (56)
434 occurrences in the corpus; indexed by 3 books
Show the 56 sources
- A field guide to digital color
- Applied Multivariate Statistics in R
- Atlas of knowledge: anyone can map
- Ault, Nam Liao & Musolino, Principles of Data Science, OpenStax, 2025
- Beautiful evidence
- Better data visualizations: a guide for scholars, researchers, and wonks
- Bremer & Barone, Chart, CRC Press, 2025
- Building Science Graphics: An Illustrated Guide to Communicating Science through Diagra...
- Cartographies of Time
- Cartography: thematic map design
- Ciccione & Dehaene, The Neural Bases of Graphical Perception: A Novel Instance of Cultural Recycling?, Journal of Cognitive Neuroscience, 2026↗
- Computational statistics in data science
- Data Feminism
- Data points: visualization that means something
- Data Visualisation Guide, data.europa.eu
- Data visualisation: a handbook for data driven design
- Data visualization handbook
- Data visualization: a practical introduction
- datawrapper.de↗
- Effective data storytelling: how to drive change with data, narrative, and visuals
- Effective data visualization: the right chart for the right data
- Envisioning information
- Exploratory Data Analysis: Descriptive Analysis, Visualization, and Dashboard Design (w...
- Fundamentals of computer graphics
- ggplot2 reference
- Graphic presentation
- Handling and mapping geographic information
- How charts lie: getting smarter about visual information
- How maps work: representation, visualization, and design
- How to lie with statistics
- Info we trust: how to inspire the world with data
- Information graphics
- Information Graphics: A Comprehensive Illustrated Reference
- LibreTexts Statistics, textbook chapters on charts
- Making and Breaking the Grid, Third Edition
- Making numbers count: the art and science of communicating numbers
- More Practical Charts
- Open Visualization Academy, courses and newsletter (Cairo et al.)
- Progressive Data Analysis: Roadmap and Research Agenda
- Questions in Dataviz: A Design-Driven Process for Data Visualisation
- Seeing with fresh eyes: meaning, space, data, truth
- Semiology of graphics: diagrams, networks, maps
- Show me the numbers: designing tables and graphs to enlighten
- The big book of dashboards: visualizing your data using real-world business scenarios
- The elements of typographic style
- The functional art: an introduction to information graphics and visualization
- The grammar of graphics
- The Truthful Art: Data, Charts, and Maps for Communication
- The visual display of quantitative information
- Thematic Cartography and Geovisualization
- Visual explanations: images and quantities, evidence and narrative
- Visualization Analysis and Design
- Visualize This
- Visualizing with text
- Wickham, Navarro & Pedersen, ggplot2: Elegant Graphics for Data Analysis, 3rd ed. online↗
- Wilke, Fundamentals of Data Visualization, O'Reilly, 2019
Cite this entry
Stable addresshttps://dataviz.adrientaudiere.com/en-only/term/margin.html
ReferenceTaudière Adrien. 2026. margin. In Visualization Vocabulary, version 1.0.0. IdEst. https://dataviz.adrientaudiere.com/en-only/term/margin.html
BibTeX
@incollection{taudiere2026-margin,
author = {Taudière, Adrien},
title = {margin},
booktitle = {Visualization Vocabulary},
year = {2026},
version = {1.0.0},
publisher = {IdEst},
url = {https://dataviz.adrientaudiere.com/en-only/term/margin.html},
note = {CC0 1.0}
}Page created on 2026-10-13. Text last changed on 2026-10-14. Images last changed on 2026-10-22. Numbers computed on 2026-10-22.