aggregated

简明释义

英[ˈæɡrɪɡeɪtɪd]美[ˈæɡrɪˌɡeɪtɪd]

adj. 聚合的；合计的

英英释义

单词用法

同义词

反义词

例句

1.They need the information aggregated by city.

他们需要的是按城市聚集的信息。

2.The result is received and aggregated into the result of the integrated view.

将接收结果并聚合为集成视图的结果。

3.Scheduling report generation on aggregated data.

调度聚合数据报告的生成。

4.The aggregated level of information is stored against balance file keys.

信息聚合级别由平衡文件关键字(索引)存储。

5.Aggregated data structure leak suspects.

聚合数据结构泄漏疑点。

6.We may share aggregated statistical data with our business partners or the general public.

我们或会与我们的业务伙伴或公众透露一些整体统计资料。

7.The aggregated results from multiple surveys indicated a high level of customer satisfaction.

来自多项调查的汇总结果显示客户满意度很高。

8.The data was aggregated to provide a comprehensive overview of the sales trends.

数据被汇总以提供销售趋势的全面概述。

9.All user feedback has been aggregated into a single database for easier access.

所有用户反馈已被汇总到一个数据库中，以便于访问。

10.In our report, we aggregated the findings from various studies to support our conclusions.

在我们的报告中，我们汇总了来自各项研究的发现以支持我们的结论。

11.The financial data was aggregated by region to analyze the company's performance.

财务数据按地区汇总以分析公司的业绩。

作文

In today's data-driven world, the ability to analyze and interpret information is crucial for making informed decisions. One of the key concepts in data analysis is the idea of data that has been aggregated, which means that individual pieces of data have been combined to form a summary or a total. This process is essential in various fields, from business to healthcare, as it allows us to see trends and patterns that would not be visible when looking at raw data alone.For instance, consider a retail company that wants to understand its sales performance over the past year. If the company only looks at individual sales transactions, it may struggle to identify overall trends. However, by using aggregated data, such as total sales per month or average sales per product category, the company can gain valuable insights into its performance. This aggregated information can highlight peak sales periods, popular products, and even customer preferences, enabling the company to make strategic decisions about inventory and marketing.Similarly, in the field of healthcare, aggregated data plays a significant role in improving patient outcomes. Hospitals often collect vast amounts of data on patient treatments, outcomes, and demographics. By analyzing this aggregated data, healthcare providers can identify effective treatment protocols, track disease outbreaks, and allocate resources more efficiently. For example, if a hospital notices that certain treatments lead to better recovery rates when viewed in aggregated data, they can implement those treatments more widely, ultimately benefiting patients.Moreover, governments rely on aggregated data to inform policy decisions. Census data, economic indicators, and public health statistics are all examples of data that are often aggregated to provide a clearer picture of societal trends. Policymakers can use this information to address issues such as unemployment, education, and public health. For instance, if aggregated data reveals a high rate of unemployment in a specific region, government officials can develop targeted job training programs to help residents find work.However, it is important to note that while aggregated data can provide valuable insights, it can also obscure important details. For example, if a company only looks at aggregated sales data without considering individual customer experiences, it may miss out on understanding why certain customers are dissatisfied. Therefore, it is crucial to strike a balance between analyzing aggregated data and paying attention to the nuances within the data.In conclusion, aggregated data is an essential tool in modern analysis across various fields. It allows organizations to summarize complex information, identify trends, and make informed decisions. However, it is equally important to recognize the limitations of aggregated data and to complement it with a deeper understanding of individual cases. As we continue to navigate an increasingly data-centric world, mastering the concept of aggregated data will be vital for anyone looking to leverage information effectively.

在当今数据驱动的世界中，分析和解释信息的能力对于做出明智的决策至关重要。数据分析中的一个关键概念是“aggregated”数据的思想，这意味着单独的数据片段已被组合形成摘要或总和。这个过程在各个领域都是必不可少的，从商业到医疗保健，因为它使我们能够看到在仅查看原始数据时不可见的趋势和模式。例如，考虑一家零售公司，它想了解过去一年的销售表现。如果公司仅查看单个销售交易，它可能会难以识别整体趋势。然而，通过使用aggregated数据，例如每月的总销售额或每个产品类别的平均销售额，公司可以获得对其表现的宝贵洞察。这些aggregated信息可以突出销售高峰期、热门产品，甚至客户偏好，使公司能够对库存和营销做出战略决策。同样，在医疗保健领域，aggregated数据在改善患者结果方面发挥了重要作用。医院通常收集大量关于患者治疗、结果和人口统计的数据。通过分析这些aggregated数据，医疗提供者可以识别有效的治疗方案、跟踪疾病爆发并更有效地分配资源。例如，如果一家医院注意到某些治疗在aggregated数据中显示出更好的恢复率，他们可以更广泛地实施这些治疗，最终使患者受益。此外，政府依赖于aggregated数据来告知政策决策。人口普查数据、经济指标和公共卫生统计数据都是经常被aggregated以提供社会趋势更清晰图像的数据示例。政策制定者可以利用这些信息来解决失业、教育和公共卫生等问题。例如，如果aggregated数据揭示某个地区失业率高，政府官员可以制定有针对性的职业培训计划，以帮助居民找到工作。然而，需要注意的是，虽然aggregated数据可以提供有价值的见解，但它也可能掩盖重要细节。例如，如果一家公司仅查看aggregated销售数据，而不考虑个别客户的体验，它可能会错过理解某些客户为何不满意。因此，在分析aggregated数据和关注数据中的细微差别之间取得平衡至关重要。总之，aggregated数据是现代分析中一个必不可少的工具，涉及各个领域。它使组织能够总结复杂信息、识别趋势并做出明智决策。然而，同样重要的是要认识到aggregated数据的局限性，并用对个别案例的更深入理解来补充它。随着我们继续在一个日益数据中心的世界中航行，掌握aggregated数据的概念对于任何希望有效利用信息的人来说将是至关重要的。