Data visualization mainly uses graphical means to convey and exchange information clearly and effectively. However, this does not mean that data visualization becomes boring in order to achieve its functional use, or it becomes very complicated in order to look colorful. In order to effectively convey ideas and concepts, aesthetic form and function need to be parallel, and by intuitively conveying important aspects and characteristics, we can realize profound insight into fairly sparse and complex data sets. However, designers often can't grasp the balance between design and function well and create flashy data visualization forms.
Data visualization is closely related to information graphics, information visualization, scientific visualization and statistical graphics. At present, data visualization is a very active and important aspect in the fields of research, education and development. The term data visualization is the unification of mature scientific visualization field and young information visualization field.