
graphique
nuage de points
Points positionnés selon deux variables quantitatives.
scatterplot
also: scatter plot, scatter chartPoints positioned by two quantitative variables.
Brinton 1939 le nomme aussi buck-shot chart, shot-gun chart ou gun-shot chart, d'après l'image d'une cible criblée de plombs.
Classification
- graphique
- points et bulles › nuages de points
- corrélation; Visual Vocabulary du Financial Times
- le nom évoque : nature
Canaux
position sur une échelle commune; principal : deux variables quantitatives; Munzner 2014
aire; secondaire : troisième variable (voir bubble chart); Munzner 2014
teinte; secondaire : groupe; Munzner 2014
forme; secondaire : groupe; Munzner 2014
Variantes
diagramme quantile-quantilecas particulier
diagramme ternairecoordonnées barycentriques
graphique à bullestaille des points
graphique de Bland-Altmancas particulier
graphique de densité hexagonalagrégé en hexagones
graphique de Manhattancas particulier
graphique des résiduscas particulier
graphique en entonnoir de précisioncas particulier
graphique en volcancas particulier
matrice de nuages de pointstoutes les paires
nuage de points connectépoints reliés
Attestation et synonymies
- terme français : Lagnel, Manuel de datavisualisation, Dunod, 2021
- définition anglaise : Brinton, Graphic Presentation, 1939↗
- scatter chart; Brinton, Graphic Presentation, 1939↗
- buck-shot chart; Brinton, Graphic Presentation, 1939↗
- shot-gun chart; Brinton, Graphic Presentation, 1939↗
Littérature scientifique
OpenAlex : 22 318 articles depuis 1938, dont 39 % ces cinq dernières années; surtout en Medicine, Computer Science, Biochemistry, Genetics and Molecular Biology; Wikidata
Références séminales
- premier usage connu (1833) Herschel (1833). On the investigation of the orbits of revolving double stars. Memoirs of the Royal Astronomical Society; Ciuccarelli 2026
Paquets R
- R
ggplot2::geom_point(); GitHub 7 025 étoiles; dernier commit 2026-10; article (33 455 citations)
Code R de l'exemple ggplot2
library(ggplot2)
library(dplyr)
library(palmerpenguins)
centres <- penguins |>
group_by(species) |>
summarise(x = mean(bill_length_mm, na.rm = TRUE), y = mean(bill_depth_mm, na.rm = TRUE))
p <- ggplot(penguins, aes(x = bill_length_mm, y = bill_depth_mm, colour = species)) +
geom_point(size = 1.6, alpha = 0.6, na.rm = TRUE) +
geom_label(data = centres, aes(x = x, y = y, label = species), size = 3.5,
fontface = "bold", fill = "white", border.colour = NA) +
scale_x_continuous(labels = lex_number, breaks = lex_break_breaks, expand = lex_break_expand) +
scale_y_continuous(labels = lex_number, breaks = lex_break_breaks, expand = lex_break_expand) +
labs(title = "Bill shape sets the three species apart",
x = "Bill length (mm)", y = "Bill depth (mm)",
caption = "Data: palmerpenguins (Horst, Hill & Gorman 2020)") +
theme_lex_viz(break_not_zero = "xy") +
theme(legend.position = "none")Sources (107)
1299 occurrences dans le corpus; indexé par 21 ouvrages
Afficher les 107 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
- Barnier, Introduction à R et au tidyverse
- Beautiful evidence
- Better data visualizations: a guide for scholars, researchers, and wonks
- blog.datawrapper.de↗
- Bremer & Barone, Chart, CRC Press, 2025
- Brinton, Graphic Presentation, 1939↗
- Cartography: thematic map design
- Ciccione & Dehaene, The Neural Bases of Graphical Perception: A Novel Instance of Cultural Recycling?, Journal of Cognitive Neuroscience, 2026↗
- Ciccione et al., Can Non-Human Primates Extract the Linear Trend from a Noisy Scatterplot?, iScience, 2025↗
- Ciccione et al., The Superiority of Graphics over Text in Long-Term Memory Retention, Psychonomic Bulletin & Review, 2025↗
- Ciccione et al., Trend Judgment as a Perceptual Building Block of Graphicacy and Mathematics, Scientific Reports, 2023↗
- Ciccione, « The Perception and Understanding of Patterns and Graphics », colloque Seeing the Mind, Educating the Brain, Collège de France, 2025↗
- Ciccione, Dehaene & Dehaene, Outlier Detection and Rejection in Scatterplots, JEP: Human Perception and Performance, 2023↗
- Ciccione, Sablé-Meyer & Dehaene, Analyzing the Misperception of Exponential Growth in Graphs, Cognition, 2022↗
- Computational statistics in data science
- Cook & Laa, Interactively Exploring High-Dimensional Data and Models in R, Chapman & Hall/CRC, 2026
- Data fluency: empowering your organization with effective data communication
- Data points: visualization that means something
- Data sketches
- Data Visualisation Guide, data.europa.eu
- Data visualisation: a handbook for data driven design
- Data visualization handbook
- Data visualization literacy: Definitions, conceptual frameworks, exercises, and assessm...
- Data visualization: a practical introduction
- Data-driven storytelling
- data-to-viz.com
- dataphys.org
- datavizcatalogue.com
- datawrapper.de↗
- Dehaene, « La perception des graphiques : un nouvel exemple de recyclage neuronal », cours au Collège de France, 2025↗
- Design for information: an introduction to the histories, theories, and best practices ...
- Effective data storytelling: how to drive change with data, narrative, and visuals
- Effective data visualization: the right chart for the right data
- Elavsky, Chartability : heuristiques d'accessibilité POUR-CAF
- Envisioning information
- Exploratory Data Analysis: Descriptive Analysis, Visualization, and Dashboard Design (w...
- Fiches de biostatistique du PBIL (Chessel, Dufour, Thioulouse et al., Lyon 1)
- Friendly & Wainer, A History of Data Visualization and Graphic Communication, Harvard University Press, 2021
- From data to viz
- Fundamentals of computer graphics
- Graphic presentation
- Graphical Perception: Theory, Experimentation, and Application to the Development of Gr...
- Graphics for learning: proven guidelines for planning, designing, and evaluating visual...
- Graphiques : vocabulaire, EBSI Montréal (d'après le GDT)↗
- Grosjean & Engels, Science des données biologiques I-III (Université de Mons)
- Handling and mapping geographic information
- How charts lie: getting smarter about visual information
- How maps work: representation, visualization, and design
- Info we trust: how to inspire the world with data
- Information Graphics: A Comprehensive Illustrated Reference
- Information theory tools for visualization
- Insee, Guide de sémiologie graphique, édition 2017↗
- Interactive data visualization: foundations, techniques, and applications
- La graphique et le traitement graphique de l'information
- Lagnel, Manuel de datavisualisation, Dunod, 2021
- Larmarange et al., analyse-R : introduction à l'analyse d'enquêtes avec R
- Larmarange, guide-R : guide pour l'analyse de données d'enquêtes avec R
- Les fondamentaux de la visualisation de données
- LibreTexts Statistics, chapitres de manuels sur les figures
- Magrit, manuel d'utilisation (UAR RIATE, CNRS)
- Making and Breaking the Grid, Third Edition
- Manuel de datavisualisation - 2e éd, vol. 2
- Milestones in the history of thematic cartography, statistical graphics, and data visua...
- More Practical Charts
- Open Visualization Academy, cours et lettre d'information (Cairo et al.)
- Parallel sets: visual analysis of categorical data
- Progressive Data Analysis: Roadmap and Research Agenda
- python-graph-gallery.com
- Questions in Dataviz: A Design-Driven Process for Data Visualisation
- Rakotomalala, fascicules de cours de statistique (Université Lyon 2)
- royal-statistical-society.github.io
- Seeing with fresh eyes: meaning, space, data, truth
- Semiologie graphique: les diagrammes, les réseaux, les cartes.
- Semiology of graphics: diagrams, networks, maps
- Série d'ateliers R du CSBQ, version française (Centre de la science de la biodiversité du Québec)
- Show me the numbers: designing tables and graphs to enlighten
- StatsLearn, glossaire « Graphs and displays »↗
- Stop Misusing t-SNE and UMAP for Visual Analytics
- Storytelling with data: let's practice!
- The art of insight: how great visualization designers think
- The big book of dashboards: visualizing your data using real-world business scenarios
- The elements of graphing data
- The functional art: an introduction to information graphics and visualization
- The golden age of data visualization: how did we get here?
- The grammar of graphics
- The Truthful Art: Data, Charts, and Maps for Communication
- The visual display of quantitative information
- Thematic Cartography and Geovisualization
- utilitR, documentation collaborative sur R (Insee)
- Visual complexity: mapping patterns of information
- Visual explanations: images and quantities, evidence and narrative
- Visual strategies for biological data
- Visualization Analysis and Design
- Visualization of Time-Oriented Data
- Visualize This
- Visualizing with text
- Wickham, Çetinkaya-Rundel & Grolemund, R for Data Science, 2e éd., 2023
- Wickham, Navarro & Pedersen, ggplot2: Elegant Graphics for Data Analysis, 3e éd. en ligne↗
- Wikipedia — Data and information visualization
- Wikipédia — Visualisation de données
- Wikipedia in English↗ fr
- Wilke, Fundamentals of Data Visualization, O'Reilly, 2019
- xeno.graphics↗
Citer cette fiche
Adresse stablehttps://dataviz.adrientaudiere.com/terme/scatterplot.html
RéférenceTaudière Adrien. 2026. nuage de points. Dans Visualization Vocabulary, version 1.0.0. IdEst. https://dataviz.adrientaudiere.com/terme/scatterplot.html
BibTeX
@incollection{taudiere2026-scatterplot,
author = {Taudière, Adrien},
title = {nuage de points},
booktitle = {Visualization Vocabulary},
year = {2026},
version = {1.0.0},
publisher = {IdEst},
url = {https://dataviz.adrientaudiere.com/terme/scatterplot.html},
note = {CC0 1.0}
}Fiche créée le 13/10/2026. Texte modifié le 09/11/2026. Images modifiées le 22/10/2026. Chiffres calculés le 22/10/2026.