data
count
also: frequencyNumber of observations in a category.
Classification
- data
Attestation
- English definition: ggplot2 reference
Sources (100)
2189 occurrences in the corpus; indexed by 7 books
Show the 100 sources
- 100 diagrams that changed the world: from the earliest cave paintings to the innovation...
- A field guide to digital color
- app.flourish.studio
- 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
- blog.datawrapper.de↗
- Bremer & Barone, Chart, CRC Press, 2025
- Building Science Graphics: An Illustrated Guide to Communicating Science through Diagra...
- buildingsciencegraphics.com
- Cartographies of Time
- Cartography: thematic map design
- Computational statistics in data science
- Data Feminism
- 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 Viz Project
- Data-driven storytelling
- dataphys.org
- datavizproject.com
- datawrapper.de↗
- Dear data
- 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
- Envisioning information
- Exploratory Data Analysis: Descriptive Analysis, Visualization, and Dashboard Design (w...
- Friendly & Wainer, A History of Data Visualization and Graphic Communication, Harvard University Press, 2021
- Fundamentals of computer graphics
- ggplot2 reference
- Graphic presentation
- Graphics for learning: proven guidelines for planning, designing, and evaluating visual...
- 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
- Impossible to ignore: creating memorable content to influence decisions
- Info we trust: how to inspire the world with data
- Information graphics
- Information Graphics: A Comprehensive Illustrated Reference
- Information theory tools for visualization
- Interactive data visualization: foundations, techniques, and applications
- LibreTexts Statistics, textbook chapters on charts
- Living in data: a citizen's guide to a better information
- Making and Breaking the Grid, Third Edition
- Making numbers count: the art and science of communicating numbers
- Milestones in the history of thematic cartography, statistical graphics, and data visua...
- More Practical Charts
- Nature, formatting guide↗
- Open Visualization Academy, courses and newsletter (Cairo et al.)
- Parallel sets: visual analysis of categorical data
- Practical charts: the essential guide to creating clear, compelling charts for reports ...
- Progressive Data Analysis: Roadmap and Research Agenda
- pudding.cool↗
- 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
- StatsLearn, “Graphs and displays” glossary↗
- 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 book of circles: visualizing spheres of knowledge
- The book of trees: visualizing branches of knowledge
- The elements of graphing data
- The elements of typographic style
- 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 infographic history of the world
- The Minard System: The Complete Statistical Graphics of Charles-Joseph Minard
- The Oxford Handbook of Empirical Aesthetics
- The Truthful Art: Data, Charts, and Maps for Communication
- The visual display of quantitative information
- The Wall Street journal guide to information graphics: the dos and don'ts of presenting...
- Thematic Cartography and Geovisualization
- UMATO: Bridging Local and Global Structures for Reliable Visual Analytics With Dimensio...
- 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 Uncertainty About the Future
- Visualizing with text
- Wainer & Friendly, On the Origins of Data Visualization, 2022
- Wickham, Çetinkaya-Rundel & Grolemund, R for Data Science, 2nd ed., 2023
- Wickham, Navarro & Pedersen, ggplot2: Elegant Graphics for Data Analysis, 3rd ed. online↗
- Wikipedia — Data and information visualization
- Wikipedia in English↗
- Wilke, Fundamentals of Data Visualization, O'Reilly, 2019
Cite this entry
Stable addresshttps://dataviz.adrientaudiere.com/en-only/term/count.html
ReferenceTaudière Adrien. 2026. count. In Visualization Vocabulary, version 1.0.0. IdEst. https://dataviz.adrientaudiere.com/en-only/term/count.html
BibTeX
@incollection{taudiere2026-count,
author = {Taudière, Adrien},
title = {count},
booktitle = {Visualization Vocabulary},
year = {2026},
version = {1.0.0},
publisher = {IdEst},
url = {https://dataviz.adrientaudiere.com/en-only/term/count.html},
note = {CC0 1.0}
}Page created on 2026-10-13. Text last changed on 2026-10-13. Numbers computed on 2026-10-22.