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Everything about Data and information visualization

Visual representation of data

Data and information visualization is the practice of designing and creating graphic or visual representations of quantitative and qualitative data and information with the help of static, dynamic or interactive visual items. These visualizations are intended to help a target audience visually explore and discover, quickly understand, interpret and gain important insights into otherwise difficult-to-identify structures, relationships, correlations, local and global patterns, trends, variations, constancy, clusters, outliers and unusual groupings within data. When intended for the public to convey a concise version of information in an engaging manner, it is typically called infographics. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Data and information visualizationA 5-minute orientation
  2. Skim a recent paper: « Profil dataviz » : pour une utilisation optimisée des données financiéres localesInfluential work since 2022
  3. Pick up a classic book: International Directory of Company HistoriesThe most-reprinted book on the subject
  4. Read the landmark paper: Explorative Multidimensional Analysis for Energy Efficiency: DataViz versus Clustering AlgorithmsCited 8 times
  5. Go sideways: Statistical graphicsA closely related topic
  6. Go sideways: InfographicA closely related topic

📖 Definitions

Noun Clipping of data visualization.

🗂️ The subject at a glance

  1. Overview
  2. Principles
  3. History
  4. Terminology
  5. Techniques
  6. Interactivity
  7. Other perspectives
  8. Applications
  9. Organization
  10. Data presentation architecture

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics