A good visualization, it is possible to bring not only the visual impact, can also be embedded in the data disclosed in the law and the truth. Here's summarize visual basic concepts.
[Visual sense]
Visualization ultimate goal is insight into the phenomena and laws inherent in the data, and there are multiple meanings: discovery, decision-making, interpret, analyze, explore and learn.
Concise definition is: to enhance the efficiency of people to complete certain tasks through visual expression
May be of significance is that the human brain as visual aids, can keep part of the information for us, a good memory as bad written. Second, the graphical symbols can guide the user's attention to important goal.
[Visualization of goals and action]
Traditional visualization can be roughly divided into a plurality of visual targets and explanatory and exploratory visualization, divided according to the application, there are visualized:
- An important feature of effective presentation
- Reveal the objective law
- Aid in understanding the concepts and processes of things
- Analog measurement and quality control
- Improve the efficiency of research and development
- Promote communication and cooperation
In accordance with the macro point of view, the visualization of three functions:
- information record
- Information reasoning and analysis
- Information dissemination and collaboration
Data visualization [classification]
Data visualization consists of three branches, scientific visualization (Sci Vis, Scientific Visualization) and information visualization (Info Vis, Information Visualization), and later evolved into the third branch: visual analysis (VAST, Visual Analytics Science and Technology ) from this IEEE VIS conference classifications can be seen.
(1) Scientific visualization is intended for scientific and engineering data, such as three-dimensional spatial coordinates and geometric information of the measurement data, simulation data, medical imaging data, focusing on exploring how to geometry, topology and shape features to present data Contained law.
(2) information visualization processing target is unstructured, non-geometric abstract data, such as financial transactions, social networking and text data, the core challenge is how for large-scale high-dimensional complex data to reduce interference to the visual confusion of information.
(3) visual analysis: In recent years, with the rise of artificial intelligence, people gradually discovered that in fact some machines can do better than people do, but also found some things need the help of the ability of human evolution 300 million years. It will be combined with visualization and analysis, resulting in a new discipline: visual analytics.
Visual analytics is defined as a visual interactive interface based on the analysis of scientific reasoning, the graphics, data mining, human-computer interaction technology together to form a human brain smart and intelligent machines complement and enhance each other.
【Advantage】
Data visualization , refers to converting data into a suitable structure or structures visualizations, then the information hidden in the data directly show in front of people. That has the advantage of data visualization synthesis of it?In the form of a graph visualization tool aspect, more diverse types of chart performance, enrichment. In addition to traditional common graphical pie charts, bar charts, line charts, etc., as well as bubble charts, area charts, Provinces, word cloud, waterfall,
cool funnel plot graphs, etc., and even GIS map. These graphics can meet a wide variety of different display and analysis needs.
FIG ① Measurement: visual display of the progress data is completed;
② line chart: see change in the trend data;
③ histogram: visualize data corresponding to multi-dimensional value can be compared;
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