随着大数据时代的到来及数据分析技术的进步，各行各业对数据分析的关注度也越来越高，同时很多企业意识到通过数据分析而获得的知识和信息对企业的日常经营活动具有积极的促进作用。通过数据可视化了解各行各业的数据分析方法，应用于具体的实践之中。
数据可视化并不是简单的把数据变成图表。而是以数据为视角，看待世界。换句话说，数据可视化的客体是数据，但我们想要的其实是——数据视觉，以数据为工具，以可视化为手段，目的是描述真实，探索世界。数据可视化，是关于数据视觉表现形式的科学技术研究。其中，这种数据的视觉表现形式被定义为，一种以某种概要形式抽提出来的信息，包括相应信息单位的各种属性和变量。数据可视化，是关于数据视觉表现形式的科学技术研究。其中，这种数据的视觉表现形式被定义为，一种以某种概要形式抽提出来的信息，包括相应信息单位的各种属性和变量。它是一个处于不断演变之中的概念，其边界在不断地扩大。主要指的是技术上较为高级的技术方法，而这些技术方法允许利用图形、图像处理、计算机视觉以及用户界面，通过表达、建模以及对立体、表面、属性以及动画的显示，对数据加以可视化解释。与立体建模之类的特殊技术方法相比，数据可视化所涵盖的技术方法要广泛得多。
With the advent of the era of big data and the progress of data analysis technology, all walks of life pay more and more attention to data analysis. At the same time, many enterprises realize that the knowledge and information obtained through data analysis have a positive role in promoting the daily business activities of enterprises. Understand the data analysis methods of all walks of life through data visualization, and apply them in concrete practice.
Data visualization is not simply turning data into graphs. It's about looking at the world through data. In other words, the object of data visualization is data, but what we really want is -- data vision, using data as a tool, using visualization as a means, with the purpose of describing reality and exploring the world. Data visualization is a scientific and technical research on the visual representation of data. The visual representation of such data is defined as a kind of information extracted in a summary form, including various attributes and variables of the corresponding information units. Data visualization is a scientific and technical research on the visual representation of data. The visual representation of such data is defined as a kind of information extracted in a summary form, including various attributes and variables of the corresponding information units. It is an evolving concept whose boundaries are constantly expanding. Mainly refers to the more technically advanced technical methods that allow the visual interpretation of data through representation, modeling, and display of solids, surfaces, properties, and animations using graphics, image processing, computer vision, and user interfaces. Compared with special techniques such as stereo modeling, data visualization covers a much wider range of techniques.