aggregate level; overall level

简明释义

总体水平

英英释义

例句

1.The survey results were reported at an aggregate level 汇总层面 to provide a clearer picture of customer satisfaction.

调查结果以汇总层面 aggregate level报告，以提供更清晰的客户满意度图景。

2.The analysis showed significant growth at the overall level 总体层面 but varied results in specific departments.

分析显示在总体层面 overall level上有显著增长，但各个部门的结果有所不同。

3.When evaluating performance, it’s important to look at both aggregate levels 汇总层面 and individual metrics.

在评估绩效时，查看汇总层面 aggregate levels和个别指标都很重要。

4.At the overall level 总体层面, the company's profits have increased by 15% this year.

在总体层面 overall level，公司的利润今年增长了15%。

5.The data was analyzed at an aggregate level 汇总层面 to identify trends across multiple regions.

数据在汇总层面 aggregate level进行分析，以识别多个地区的趋势。

作文

In today's data-driven world, understanding information at the aggregate level 整体层面 is crucial for making informed decisions. Organizations often collect vast amounts of data, but without analyzing it at the aggregate level 整体层面, they may miss important trends and insights that could drive success. For example, a retail company might gather sales data from individual stores; however, if they only focus on these individual figures without looking at the aggregate level 整体层面, they might overlook broader patterns that affect their overall performance. When we analyze data at the aggregate level 整体层面, we can identify trends that are not visible when looking at smaller subsets. This approach allows businesses to understand customer behavior, seasonal fluctuations, and market demands more effectively. For instance, by examining sales data across all locations, a company can determine which products are performing well overall, leading to better inventory management and marketing strategies.Moreover, the overall level 总体水平 of analysis can also be applied in various fields such as healthcare, education, and economics. In healthcare, analyzing patient outcomes at the overall level 总体水平 can reveal the effectiveness of treatments across different demographics, enabling healthcare providers to improve patient care. Similarly, in education, assessing student performance at the overall level 总体水平 can help educators identify areas needing improvement and develop targeted interventions for struggling students.However, it is essential to remember that while the aggregate level 整体层面 provides valuable insights, it can sometimes mask individual variations that are equally important. For example, if a school looks at test scores only at the aggregate level 整体层面, they may fail to recognize that certain groups of students are underperforming. Therefore, a balanced approach that considers both the aggregate level 整体层面 and individual data is necessary for comprehensive analysis.In conclusion, understanding data at the aggregate level 整体层面 and overall level 总体水平 is vital for organizations aiming to thrive in a competitive environment. By leveraging this understanding, businesses, educators, and healthcare providers can make better decisions, ultimately leading to improved outcomes in their respective fields. As we continue to generate and collect more data, the ability to analyze it effectively at different levels will become increasingly important for success.

在当今数据驱动的世界中，从整体层面 aggregate level 理解信息对做出明智的决策至关重要。组织通常会收集大量数据，但如果不在整体层面 aggregate level进行分析，他们可能会错过可能推动成功的重要趋势和见解。例如，一家零售公司可能会从各个商店收集销售数据；然而，如果他们只关注这些单独的数字，而没有查看整体层面 aggregate level，他们可能会忽视影响其整体业绩的更广泛模式。当我们在整体层面 aggregate level分析数据时，我们可以识别出在查看较小子集时不可见的趋势。这种方法使企业能够更有效地理解客户行为、季节波动和市场需求。例如，通过检查所有地点的销售数据，公司可以确定哪些产品整体表现良好，从而更好地管理库存和制定营销策略。此外，总体水平 overall level 的分析方法也可以应用于医疗保健、教育和经济等各个领域。在医疗保健中，从总体水平 overall level分析患者结果可以揭示不同人群治疗效果的有效性，使医疗提供者能够改善患者护理。同样，在教育中，从总体水平 overall level评估学生表现可以帮助教育工作者识别需要改进的领域，并为表现不佳的学生制定针对性的干预措施。然而，必须记住，虽然整体层面 aggregate level提供了有价值的见解，但有时可能掩盖同样重要的个体差异。例如，如果一所学校仅从整体层面 aggregate level查看考试成绩，他们可能会未能意识到某些学生群体表现不佳。因此，考虑整体层面 aggregate level和个体数据的平衡方法对于全面分析是必要的。总之，从整体层面 aggregate level和总体水平 overall level理解数据对于希望在竞争环境中蓬勃发展的组织至关重要。通过利用这种理解，企业、教育工作者和医疗提供者可以做出更好的决策，最终在各自领域取得更好的结果。随着我们继续生成和收集更多数据，有效地在不同层次上分析数据的能力将变得越来越重要。