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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: Smart Home Energy Visualizer: A Fusion of Data Analytics and Information VisualizationInfluential work since 2022
  3. Pick up a classic book: Cooperative Design, Visualization, and EngineeringThe most-reprinted book on the subject
  4. Read the landmark paper: Information visualization and visual data miningCited 1,039 times
  5. Go sideways: Statistical graphicsA closely related topic
  6. Go sideways: InfographicA closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🗂️ 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