aggregates

简明释义

英[ˈæɡrɪɡeɪts]美[ˈæɡrɪɡeɪts]

n. 总量；合体（aggregate 的复数）；聚合物

v. 聚集；共计；凝结（aggregate 的第三人称单数）

英英释义

单词用法

同义词

反义词

例句

1.Message Broker aggregates the responses and returns a consolidate list of available assessors.

消息代理收集响应并返回一个可用评估员的合并列表。

2.The controller component aggregates all of the retrieved data into a set of business objects for display.

控制器组件将所有获得的数据进行汇总，组成一系列业务对象用于显示。

3.We use holdings data in ranking algorithms, which aggregates selection choices of libraries.

我们在排序的算法中使用馆藏数据，这样可以聚集读者借书的选择。

4.Each of these application roles aggregates a set of very specific portal access control roles.

其中的每个应用程序角色都聚合一组非常特定的门户访问控制角色。

5.Figure 8 describes the flow for how the PJM aggregates the job logs for the job partitions.

图8描述了PJM收集多个作业分区作业日志信息的流程。

6.This article aggregates 11.4 million opinions on what makes a great photo.

针对“怎样才算是一张好相片”的问题，本文总共采集了约一千一百四十万个意见。

7.The StockTwits site aggregates tweets about publicly traded corporations.

该StockTwits网站总量tweets关于上市公司。

8.In fact, Windsor just aggregates the MicroKernel and provides external configuration and proxy support.

实际上，Windsor仅仅是封装了MicroKernel并提供了一些外部的配置信息和代理支持。

9.Researchers often use methods that aggregate 汇总 results from various studies to draw broader conclusions.

研究人员通常使用汇总来自各种研究结果的方法，以得出更广泛的结论。

10.The website aggregates 聚合 news articles from different publishers for easier access.

该网站聚合来自不同出版商的新闻文章，以便于访问。

11.The data analysis software aggregates 汇总 information from various sources to provide comprehensive insights.

该数据分析软件汇总来自不同来源的信息，以提供全面的见解。

12.In construction, concrete aggregates 集料 like sand and gravel are essential for making strong structures.

在建筑中，混凝土集料如沙子和砾石对构建坚固的结构至关重要。

13.The report aggregates 汇总 data from multiple surveys to reflect public opinion accurately.

该报告汇总来自多个调查的数据，以准确反映公众意见。

作文

In today's data-driven world, understanding how information is collected and analyzed is crucial. One of the key concepts in this field is the term aggregates, which refers to a collection of items that are grouped together for analysis or reporting purposes. The ability to analyze aggregates allows researchers and businesses to gain insights from large sets of data, leading to informed decision-making.For instance, consider a retail company that wants to understand its sales performance. By collecting data on individual transactions, the company can create aggregates of sales figures by different categories, such as product types, geographical locations, or time periods. This process of aggregation helps the company identify trends and patterns that may not be visible when looking at individual sales data. For example, they might discover that certain products sell better during specific seasons or that certain regions consistently outperform others.Moreover, aggregates play a significant role in statistical analysis. In statistics, data is often summarized into aggregates to make it easier to interpret. Measures such as mean, median, and mode are all examples of statistical aggregates that provide a quick overview of the data set. These measures help analysts understand the central tendency of the data, which is essential for making predictions and drawing conclusions.The importance of aggregates extends beyond just business and statistics; it is also vital in fields like healthcare, education, and social sciences. For example, in healthcare, patient data can be aggregates to analyze treatment outcomes across different demographics. This analysis can lead to improved patient care and more effective health policies. Similarly, in education, aggregates of student performance data can help educators identify areas where students struggle and develop targeted interventions.However, while aggregates provide valuable insights, it's important to remember that they can also mask individual variations within the data. Relying solely on aggregates can lead to oversimplified conclusions. For instance, if a school looks only at average test scores, it may overlook the fact that certain groups of students are significantly underperforming. Therefore, it is essential to balance the use of aggregates with a deeper analysis of the underlying data.In conclusion, the concept of aggregates is fundamental in various fields, allowing for the simplification and analysis of complex data sets. By grouping data into aggregates, we can uncover meaningful insights that drive decisions and strategies. However, it is equally important to remain cautious about the limitations of aggregates and ensure that we do not lose sight of the individual elements that contribute to the overall picture. Understanding and effectively utilizing aggregates will undoubtedly enhance our ability to make informed choices in an increasingly complex world.

在当今数据驱动的世界中，理解信息如何被收集和分析至关重要。这个领域的一个关键概念是术语aggregates，它指的是为分析或报告目的而聚集在一起的一组项目。分析aggregates的能力使研究人员和企业能够从大量数据集中获得洞察，从而做出明智的决策。例如，考虑一家零售公司想要了解其销售表现。通过收集单笔交易的数据，公司可以按不同类别（如产品类型、地理位置或时间段）创建销售数字的aggregates。这种聚合过程帮助公司识别趋势和模式，这些在查看单个销售数据时可能不可见。例如，他们可能会发现某些产品在特定季节销售更好，或者某些地区始终表现优于其他地区。此外，aggregates在统计分析中也起着重要作用。在统计学中，数据通常被汇总为aggregates以便于解释。均值、中位数和众数等测量都是统计aggregates的例子，它们提供了数据集的快速概述。这些测量帮助分析师理解数据的集中趋势，这对于做出预测和得出结论至关重要。Aggregates的重要性不仅限于商业和统计；在医疗保健、教育和社会科学等领域同样至关重要。例如，在医疗保健中，患者数据可以被aggregates以分析不同人口统计学的治疗结果。这种分析可以改善患者护理并制定更有效的健康政策。同样，在教育中，学生表现数据的aggregates可以帮助教育工作者识别学生面临的困难领域，并制定针对性的干预措施。然而，虽然aggregates提供了宝贵的洞察，但重要的是要记住，它们也可能掩盖数据中的个体差异。仅依赖aggregates可能导致过于简化的结论。例如，如果一所学校仅查看平均考试成绩，它可能会忽视某些学生群体明显表现不佳的事实。因此，平衡使用aggregates与对基础数据的深入分析同样重要。总之，aggregates的概念在各个领域都是基础，允许对复杂数据集进行简化和分析。通过将数据分组为aggregates，我们可以揭示推动决策和策略的有意义的洞察。然而，同样重要的是要保持对aggregates局限性的警惕，确保我们不会失去对构成整体画面的个别元素的关注。理解和有效利用aggregates无疑会增强我们在日益复杂的世界中做出明智选择的能力。