Design and implementation of visual analysis system based on network retail

Nowadays, the e-commerce industry is developing rapidly, and online shopping has become the mainstream consumption mode. Online shopping order data, online shopping user data, online shopping product preference data, online retail industry has produced a variety of data. Therefore, we can study the overall situation of China's online retail market, analyze online retail data, and deeply explore and predict the development of online retail industry. Therefore, a powerful online retail visual analysis system is needed to integrate e-commerce data and visually show the connection and value of data through rich and diverse dynamic interactive charts. This system can analyze and monitor the national network retail market and provide service and support for the economic development of network retail industry. From the perspective of the data analysis staff of the e-commerce center, this paper will use the unique e-commerce data of the platform, combined with emerging technologies and tools in the big data environment, propose a visual analysis scheme based on online retail data, and finally design a set of online retail visualization and analysis system to realize the dynamic interaction of visual large-screen charts. Diversity of data display and multidimensional analysis. .Data visualization libraries, such as Python's Matplotlib. Seaborn, or JavaScript's D3.js, are used to present the analyzed and processed data in the form of intuitive charts. This system can help internal analysts to understand the data more intuitively and accurately, analyze the data in multiple dimensions and granularity, predict the future trend of online retail, and dig the meaning of the value behind the data. Build a set of network retail visual analysis system with good security, stability and high availability.