data visualization

data visualization
Name	Data visualization
Field	Information design, Visualization (graphics)
Invented by	William Playfair, Florence Nightingale
Introduced	18th century

data visualization Data visualization presents quantitative and qualitative information through visual formats to reveal patterns, trends, and relationships. Practitioners draw on methods from William Playfair, Florence Nightingale, John Snow (physician), and institutions such as the Massachusetts Institute of Technology, Stanford University, and Bell Labs to translate complex datasets into interpretable visual artifacts. Influences include works produced at The New York Times, The Guardian, ProPublica, National Aeronautics and Space Administration, and European Organization for Nuclear Research.

Overview

Visualization synthesizes analytical goals with aesthetic decisions to support decision-making in contexts like United Nations, World Health Organization, International Monetary Fund, Federal Reserve System, and European Central Bank. Core components link data sources such as United States Census Bureau, Google, Facebook, Amazon (company), and Oracle Corporation to visual encodings developed in laboratories like Bell Labs and research centers at Carnegie Mellon University and Harvard University. Practitioners include journalists at The Washington Post, researchers at Microsoft Research, and designers from IDEO and Fjord.

History and Development

Early inventions trace to William Playfair's charts and Florence Nightingale's diagrams used during the Crimean War. Milestones include John Snow (physician)'s cholera map in London, contributions from Charles Joseph Minard's flow maps for the Napoleonic Wars, and statistical graphics developed at U.S. Census Bureau and Royal Statistical Society. The 20th century saw advances at Bell Labs, AT&T, and RAND Corporation; the late 20th and early 21st centuries feature software milestones from IBM, Microsoft, Tableau Software, and OpenOffice.org alongside academic programs at Massachusetts Institute of Technology, Stanford University, and University of Oxford.

Principles and Techniques

Effective practice applies perceptual theories from Johann Wolfgang von Goethe's color studies, research by William S. Cleveland, and heuristics advanced by Edward Tufte and Ben Shneiderman. Design principles reference typography from Jan Tschichold, color systems like Pantone', and interaction models originating at Xerox PARC and Apple Inc.. Techniques include encoding variables using position, length, area, color, and motion as implemented in systems by D3.js creators associated with The New York Times and researchers at University College London. Statistical graphics draw from methods in R (programming language), libraries influenced by Hadley Wickham and concepts from Bradford Hill and Karl Pearson.

Types of Visualizations

Common forms encompass charts like bar charts, line charts, scatterplots, and area charts used in reports by The Economist, maps of the kind produced by Ordnance Survey and National Geographic, and network diagrams seen in studies by Paul Baran and Stanley Milgram. Advanced displays include treemaps popularized by Ben Shneiderman, Sankey diagrams as used in Charles Minard-inspired energy flows, chord diagrams in musicology studies at Juilliard School, and geospatial visualizations leveraging Esri products and OpenStreetMap. Temporal visualizations appear in analyses by Nielsen Company and Pew Research Center.

Tools and Software

Tooling spans scripting and GUI platforms from R (programming language), Python (programming language), Tableau Software, Microsoft Excel, Google Charts, and QlikTech. Libraries and frameworks include D3.js, ggplot2, matplotlib (Python), Plotly, Leaflet (software), and platforms hosted by GitHub and GitLab. Enterprise solutions from IBM, SAP, and Oracle Corporation integrate visualization with databases like PostgreSQL and MongoDB and cloud services from Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

Evaluation and Best Practices

Evaluation draws on user testing traditions from Don Norman and usability frameworks used at Nielsen Norman Group and IDEO. Metrics and validation employ statistical methods developed by Ronald Fisher and experimental designs from Jerzy Neyman and Egon Pearson. Best practices include accessibility standards from World Wide Web Consortium, data provenance procedures aligned with Open Data Institute recommendations, and ethical guidelines discussed by Human Rights Watch, Amnesty International, and academic centers such as Oxford Internet Institute.

Applications and Domains

Areas of application include public health reporting at World Health Organization and Centers for Disease Control and Prevention, finance dashboards used by Goldman Sachs and JPMorgan Chase, scientific visualization in projects at National Aeronautics and Space Administration and European Organization for Nuclear Research, urban planning with contributions from United Nations Human Settlements Programme and municipal agencies like New York City Department of City Planning, and investigative journalism by ProPublica and The New York Times. Cross-disciplinary deployments appear in climate science at Intergovernmental Panel on Climate Change, bioinformatics at Broad Institute, and supply-chain analytics at DHL and Maersk.

Category:Information design