The Research Of Self-made Program Data Visual Application Based On Video Website Data Analysis Platform

In big data era, data has become the ubiquitous, crucial resources that human beings cannot do without it. It was compared to “a new kind of petroleum”. Facing with data resource to be explored and utilized as vast as the open sea, new revolution could be initialized only by seeking out correct methods to take advantage of such resources. Today, the application of data visualization of large data analysis has become the era of big data to explore the data behind the information, knowledge and wisdom, it is important to maximize the value realization method of data. Following online video as instant messaging, search, music, news fifth largest application, attracted a large number of users, gathered a large number of users of information and data, but also faced with the major video sites showing how to deal with such a large user data to generate significant value in the development of enterprises challenge.Based on data visualization analysis platform of video website, it mainly started from the comprehensive angle of view in cognition, visualization and man-machine interaction emphasized by visual analysis field, fully excavating human cognitive competence advantages in visualized information while using strong automation analysis ability. With the help of man-machine interaction, it gave full play to human and machine advantages, t proposing to apply visualized user data to discover and analyze user's habits and preferences to guide the production team for achieving the feedback information, from which the cycle model of data visualization application is set up. Using this model, users' rich domain knowledge can be utilized to neat, constraint and analysis process for reaching the maximum visualization application value of user's data when the users involved in the decision analysis process. This paper takes homemade class fashion show "FUN & FANCY" from i QIYI as an example to mainly discuss the user's data visualization in the excavation of habits and preferences, gearing to the needs of production team and the application of content.Finally, bottleneck problems and technological challenges faced by big data visualization were indicated, anticipating how to ex plore user data and to explore visual value of user data was the key to control the initiative in the future.