Abstract
Under the background of big data era, ports have realized the informatization of transport data, and has accumulated a large amount of transport data. The potential value contained in the port transportation data needs to be excavated, and a large number of external data also needs to be obtained. However, the traditional statistical analysis system can no longer meet the demand. In order to fully tap the potential value of port data, this paper designs and implements a port data analysis and visualization system to help enterprises master the trend of material flow. The system development is based on Python language. Pandas is used for data analysis, Flask is used to implement the MVC framework, ECharts is used for chart display, and data is imported from the business database to the MySQL database.
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