Data visualization

visualizationData Presentation Architecturedata visualisationdata visualizationsMany Eyesdata-visualizationvisualizeddatadata artistData designer
Data visualization is the graphic representation of data.wikipedia
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Data

statistical datascientific datadatum
Data visualization is the graphic representation of data.
Data is measured, collected and reported, and analyzed, whereupon it can be visualized using graphs, images or other analysis tools.

Martin M. Wattenberg

Martin Wattenberg
Indeed, Fernanda Viegas and Martin M. Wattenberg suggested that an ideal visualization should not only communicate clearly, but stimulate viewer engagement and attention.
Martin M. Wattenberg (born 1970) is an American scientist and artist known for his work with data visualization.

Infographic

infographicsinformation graphicsgraph
To communicate information clearly and efficiently, data visualization uses statistical graphics, plots, information graphics and other tools. Data visualization is closely related to information graphics, information visualization, scientific visualization, exploratory data analysis and statistical graphics.
Similar pursuits are information visualization, data visualization, statistical graphics, information design, or information architecture.

Data analysis

data analyticsanalysisdata analyst
It is one of the steps in data analysis or data science.
Data integration is a precursor to data analysis, and data analysis is closely linked to data visualization and data dissemination.

Edward Tufte

Edward R. TufteTufte, EdwardDr. Edward Tufte
Professor Edward Tufte explained that users of information displays are executing particular analytical tasks such as making comparisons.
He is noted for his writings on information design and as a pioneer in the field of data visualization.

Information visualization

visualizationinformation visualisationgraphical representation
Data visualization is closely related to information graphics, information visualization, scientific visualization, exploratory data analysis and statistical graphics.
They have been devoted to the general topics of data visualisation, information visualization and scientific visualisation, and more specific areas such as volume visualization.

Data exploration

data discovery
Visualization can become a means of data exploration.
Automated activities can include data profiling or data visualization or tabular reports to give the analyst an initial view into the data and an understanding of key characteristics.

Misleading graph

Gee-whiz graphmisleading graphspresented in a misleading way
Not applying these principles may result in misleading graphs, which distort the message or support an erroneous conclusion.
The field of data visualization describes ways to present information that avoids creating misleading graphs.

D3.js

D3D3jsProtovis.js
Other data visualization applications, more focused and unique to individuals, programming languages such as D3, Python and JavaScript help to make the visualization of quantitative data a possibility.
D3.js (also known as D3, short for Data-Driven Documents) is a JavaScript library for producing dynamic, interactive data visualizations in web browsers.

Warming stripes

Stripe graphic
Warming stripes (sometimes referred to as climate stripes, climate timelines or stripe graphics ) are data visualization graphics that use a series of coloured stripes chronologically ordered to visually portray long-term temperature trends.

Statistical graphics

graphical techniquegraphicalgraphical techniques
To communicate information clearly and efficiently, data visualization uses statistical graphics, plots, information graphics and other tools. Data visualization is closely related to information graphics, information visualization, scientific visualization, exploratory data analysis and statistical graphics.

Scientific visualization

visualizationscientific visualisationvisualize
Data visualization is closely related to information graphics, information visualization, scientific visualization, exploratory data analysis and statistical graphics.

Fernanda Viégas

Fernanda Viegas
Indeed, Fernanda Viegas and Martin M. Wattenberg suggested that an ideal visualization should not only communicate clearly, but stimulate viewer engagement and attention.
Viégas is one of the founders of IBM's experimental Many Eyes website, created in 2007, which seeks to make visualization technology accessible to the public.

Climate spiral

Animated spiral graphic
A climate spiral (sometimes referred to as a temperature spiral ) is an animated data visualization graphic designed as a "simple and effective demonstration of the progression of global warming", especially for general audiences.

Big data

big data analyticsbig data analysisbig-data
Increased amounts of data created by Internet activity and an expanding number of sensors in the environment are referred to as "big data" or Internet of things.
Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.

Information design

information densityinformation designerdesign
Information design is closely related to the field of data visualization and is often taught as part of graphic design courses.

Graphic design

designArt and Designgraphic
Information design can include data visualization, which involves using programs to interpret and form data into a visually compelling presentation, and can be tied in with information graphics.

The Data Incubator

Data Incubator
Private schools have also developed programs to meet the demand for learning data visualization and associated programming libraries, including free programs like The Data Incubator or paid programs like General Assembly.

Data-driven journalism

Data driven journalism
To visualize data in the form of graphs and charts, applications such as Many Eyes or Tableau Public are available.

Business intelligence

BIBusiness Intelligence (BI)Business discovery
Historically, the term data presentation architecture is attributed to Kelly Lautt: "Data Presentation Architecture (DPA) is a rarely applied skill set critical for the success and value of Business Intelligence. Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope, delivery timing, format and visualizations that will most effectively support and drive operational, tactical and strategic behaviour toward understood business (or organizational) goals. DPA is neither an IT nor a business skill set but exists as a separate field of expertise.
A 2009 Information Management special report predicted the top BI trends: "green computing, social networking services, data visualization, mobile BI, predictive analytics, composite applications, cloud computing and multitouch".