What exactly is data visualization?
What exactly is data visualization? What kind of ability do you need? What should be the job content?
In fact, the data itself is meaningless and only becomes information when it affects the behavior of the entity.
In the early days of human civilization, humans used writing to store and pass on information. Gradually, society has become more open to information and the use of information has become more free. This ushered in the first revolution in data.
Then, the advent of computers liberated the creation, storage, or transmission format of data... It was this revolution that completely changed the data, so that the data is no longer stored in the human brain, but in the form of bytes.
Subsequently, the Internet has played a role in fueling the development of information, and brought a new round of data mania, creating the birth of the Internet. This change enables data to be presented to people at any time, any place, and in any format.
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In layman's terms, the purpose of data visualization is to "let the data speak" and use graphics to tell the story of the data. Visualization is a way of expressing data, an abstract expression of the real world. It tells us all kinds of stories like words. As a medium, visualization has developed into a good way of telling stories. Data visualization is to present complex and abstract data information with appropriate visual elements and perspectives to facilitate everyone's understanding, memory and transmission!
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Data visualization is divided into two directions: "scientific visualization" and "information visualization"
1) Scientific visualization is mainly concerned with the visualization of phenomena, such as various systems in architecture, meteorology, medicine or biology. The focus is on realistic rendering of volumes, surfaces and light sources.
2) Information visualization aims to study the visual presentation of large-scale non-numerical information resources, and to use graphics techniques and methods to help people understand and analyze data.
Currently, data visualization still belongs to a relatively niche design group, and because most of the customers it faces are ToG or ToB projects, the confidentiality of the project is done very well, and there are few external voices, so it will also appear to be particularly mysterious. The industry threshold is relatively high. However, due to the large demand for such projects by the government and enterprises, coupled with urban smart construction, military electronic sand tables, and smart transportation, there are many and extensive projects, which has led to the scarcity of the data visualization industry.
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Good visualization design requires knowledge of statistics and design. Without the former, visualization is just illustrations and art exercises; without the latter, visualization is just the results of research and analysis. Knowledge of statistics and design can only help you complete part of the data graph. Finding the relationship between the data and the things it represents to design according to the "digital narrative" is the key to a comprehensive analysis of the data, as well as the key to a deep understanding of the data.
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For this , Hightopo is struggling to do everything needed for data visualization; Hightopo has a complete set of HTML5 graphical interface component libraries. You can easily build modern, cross-desktop and mobile terminal enterprise applications, without worrying about cross-platform compatibility, touch screen gesture interaction and other thorny issues. Applications such as topological graphs and dial charts that can be quickly created and deployed, are highly customizable, and have powerful interactive functions. It is very suitable for the interface presentation of real-time monitoring systems, and is widely used in telecommunication network topology and equipment management, and industrial automation (HMI/SCADA) fields such as electric power and gas.
As a whole, the breadth of data visualization is changing every day, but this is a new field. We can use a new way to understand the process of the world. Data visualization changes the way we present and think about data. Return to Sohu to see more