Abstract
The process of data visualization mainly includes three stages: data analysis, data processing and data generation. 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. 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.
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