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2. Data and information visualization - Wikipedia

   en.wikipedia.org/wiki/Data_and_information...

   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 ...

3. Graphical perception - Wikipedia

   en.wikipedia.org/wiki/Graphical_perception

   assembly : grouping of detected symbol elements; discerning overall patterns in data; estimation : assessment of relative magnitudes of two physical values. Cleveland and McGill's experiments [1] to elucidate the graphical elements humans detect most accurately is a fundamental component of good statistical graphics design principles.

4. Visual analytics - Wikipedia

   en.wikipedia.org/wiki/Visual_analytics

   Visual analytics seeks to marry techniques from information visualization with techniques from computational transformation and analysis of data. Information visualization forms part of the direct interface between user and machine, amplifying human cognitive capabilities in six basic ways: [2] [5]

5. Infographic - Wikipedia

   en.wikipedia.org/wiki/Infographic

   To Tufte, good data visualizations represent every data point accurately and enable a viewer to see trends and patterns in the data. Tufte's contribution to the field of data visualization and infographics is considered immense, and his design principles can be seen in many websites, magazines, and newspapers today. [24]

6. Information design - Wikipedia

   en.wikipedia.org/wiki/Information_design

   Information design is the practice of presenting information in a way that fosters an efficient and effective understanding of the information. The term has come to be used for a specific area of graphic design related to displaying information effectively, rather than just attractively or for artistic expression.

7. Interactive visual analysis - Wikipedia

   en.wikipedia.org/wiki/Interactive_visual_analysis

   The data source for IVA is usually tabular data where the data is represented in columns and rows. The data variables can be divided into two different categories: independent and dependent variables. The independent variables represent the domain of the observed values, such as for instance time and space.