**Yan Junling's Assist Count at Shanghai Port: A Statistical Overview**

Shanghai Port, as a major container terminal in China, has been a focal point of statistical analysis and planning since its establishment. Over the years, Yan Junling, a key official in the statistical department, has been involved in compiling and analyzing data related to assist counts at the port. These statistics are crucial for understanding the operational efficiency and capacity of the port, which in turn informs planning and policy-making.

The assist count at Shanghai Port refers to the number of containers or containers loaded/unloaded by port staff, which is a key indicator of the port's operational performance. Yan Junling's role in this area likely includes compiling and presenting annual reports or seasonal statistics on assist counts. These reports provide valuable insights into the port's productivity, help identify bottlenecks, and inform decisions on resource allocation.

Over the past decade, the assist count at Shanghai Port has shown a steady increase, reflecting the growing demand for container transport services. This trend is attributed to the expansion of trade and the increasing use of container shipping. However, certain months or quarters have reported lower assist counts, possibly due to delays in container loading/unloading or favorable weather conditions. These fluctuations highlight the importance of regular statistical monitoring to ensure the port's readiness for future demands.

Another aspect of the statistics is the analysis of trends over time. For example, during peak seasons like summer and winter, assist counts have been significantly higher, indicating the port's capacity to handle large volumes of cargo. This information is essential for port authorities to plan their operations and allocate resources effectively. Additionally, the statistics often include seasonal variations, such as the impact of holidays or holidays on port operations.

Yan Junling's role in compiling these statistics likely involves cross-verifying data from various sources, including container loading/unloading records, container throughput data, and other related metrics. This process ensures the accuracy and reliability of the statistics, which are then used to inform decision-making at the port. The data also serves as a benchmark for comparing the performance of Shanghai Port with other ports, helping to identify areas for improvement.

In conclusion, Yan Junling's assist count at Shanghai Port provides a comprehensive overview of the port's operational efficiency and capacity. The statistics are a vital tool for port management and policy-making, helping to ensure the port's readiness for future growth and demand. Regular updates to these statistics reflect the dynamic nature of the port's operations and highlight the importance of continuous improvement in port planning and management.

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