The most commonly used data models are conceptual data model and structural data model. And then get the indicators of data analysis. At this stage, it is first necessary to clarify the industry background of the data, organize the available reference cases based on the existing data, and select appropriate data models for derivation based on the selected targets. D ATA ANALYSIS The data analysis is the first phase and the most important phase of big data analysis. The specific process is shown in Figure 1. Combined with the characteristics of big data, its process is mainly divided into three stages: analysis, processing, and generation. D ATA VISUALIZATION PROCESS Naturally, Data visualization has a set of quantifiable processes. With the help of data visualization tools, a deeper understanding can be obtained. Up to now, the application of data visualization is still expanding, and people's use of data is also developing new capabilities. Data visualization is the use of graphics, image processing, computer vision, and user interface techniques to visualize data by expressing, modeling, and displaying stereo, surface, attributes, or animation. It integrates abstract, redundant, and even unrelated information and transforms them into graphics, symbols, or conceptual models. I NTRODUCTION Data visualization is the presentation of a single piece of data or complex data in a visual form, so that some information or knowledge can be streamlined and efficiently transmitted. Keywords-Data analysis data processing data visualization I. ![]() Currently, Data visualization has different levels of application in all walks of life, and the application of stock market data visualization provides a clearer basis for analyzing stocks. Data analysis establishes the source of the data and the corresponding industry background data processing regulates the relevant data, and its content mainly includes three processes of data cleaning, data specification and data storage data generation is data visualization, usually with some tools to generate various Charts, enabling dynamic interactions, maximize the value of your data. Research on Data Visualization and Application Yu Zhang Beijing Institute Of Graphic Communication Beijing, China Hou Shu Beijing Institute Of Graphic Communication Associate Professor Beijing, China Abstract -The process of data visualization mainly includes three stages: data analysis, data processing and data generation.
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