Difference between revisions of "Data visualization"

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(People (active today))
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* [[Albero Cairo]]
 
* [[Albero Cairo]]
 
* [[Edward Tufte]]
 
* [[Edward Tufte]]
* [[Ola Rosling]] - Rosling developed the scatter-plot graphing tool used on Gapminder.org.
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* [[Ola Rosling]] - Rosling developed the scatter-plot graphing tool used on [[Gapminder.org]].
 
* [[Hans Rosling]]
 
* [[Hans Rosling]]
 
* [[Aaron Koblin]]
 
* [[Aaron Koblin]]
 
* [[Manuel Lima]]
 
* [[Manuel Lima]]
* [[Max Roser]] - Roser is an economist at the University of Oxford and author of the online data visualisation publication Our World In Data.
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* [[Max Roser]] - Roser is an economist at the University of Oxford and author of the online data visualisation publication [[Our World In Data]].
 
* [[Moritz Stefaner]]
 
* [[Moritz Stefaner]]
 
* [[Ben Shneiderman]]
 
* [[Ben Shneiderman]]
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* [[George Furnas]]
 
* [[George Furnas]]
 
* [[Branko Milanovic]]
 
* [[Branko Milanovic]]
* [[Mike Bostock]] - Bostock is one of the key developers of the Javascript library d3.js.
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* [[Mike Bostock]] - Bostock is one of the key developers of the Javascript library [[D3.js]]
 
* [[Adrien Segal]] - Oakland, CA based artist known for her sculptures based on tidal and snow data.
 
* [[Adrien Segal]] - Oakland, CA based artist known for her sculptures based on tidal and snow data.
  

Revision as of 09:15, 22 May 2016

Data visualization or data visualisation is the creation and study of the visual representation of data, meaning "information that has been abstracted in some schematic form, including attributes or variables for the units of information".

Description

A primary goal of data visualization is to communicate information clearly and efficiently via statistical graphics, plots and information graphics.

Numerical data may be encoded using dots, lines, or bars, to visually communicate a quantitative message.

Effective visualization helps users analyze and reason about data and evidence.

It makes complex data more accessible, understandable and usable.

Users may have particular analytical tasks, such as making comparisons or understanding causality, and the design principle of the graphic (i.e., showing comparisons or showing causality) follows the task.

Tables are generally used where users will look up a specific measurement, while charts of various types are used to show patterns or relationships in the data for one or more variables.

Data visualization is both an art and a science.

It is viewed as a branch of descriptive statistics by some, but also as a grounded theory development tool by others.

The rate at which data is generated has increased.

Data created by Internet activity and an expanding number of sensors in the environment, such as satellites, are referred to as Big Data.

Processing, analyzing and communicating this data present a variety of ethical and analytical challenges for data visualization.

The field of data science and practitioners called data scientists have emerged to help address this challenge.

See also

People (Historical)

People (active today)

External links