combined aggregate

简明释义

混合骨料

英英释义

例句

1.The company's revenue from all departments was calculated as a combined aggregate of $1 million.

公司的所有部门的收入被计算为综合总和100万美元。

2.The combined aggregate score of the team determined their eligibility for the finals.

该队的综合总和得分决定了他们晋级决赛的资格。

3.The combined aggregate of all participants' scores will be displayed on the leaderboard.

所有参与者得分的综合总和将显示在排行榜上。

4.In our study, we found that the combined aggregate of both surveys provided more accurate results.

在我们的研究中，我们发现两项调查的综合总和提供了更准确的结果。

5.We need to analyze the combined aggregate data from our different marketing campaigns.

我们需要分析来自不同营销活动的综合总和数据。

作文

In today's rapidly evolving world, the concept of data analysis has become increasingly important. Organizations across various sectors rely on data to make informed decisions. One of the key techniques used in data analysis is the evaluation of the combined aggregate (综合总和) of multiple datasets. This method allows businesses to gain a holistic view of their operations and customer behaviors. By aggregating data from different sources, organizations can identify trends, patterns, and anomalies that may not be visible when examining individual datasets in isolation.For instance, consider a retail company that collects sales data from various stores. If the company only looks at the sales figures from each store independently, it might miss significant trends that emerge when looking at the combined aggregate (综合总和) of all stores. By analyzing the overall sales performance, the company can determine which products are performing well across the board or which locations are underperforming. This insight is crucial for making strategic decisions regarding inventory management, marketing campaigns, and resource allocation.Moreover, the use of combined aggregate (综合总和) data extends beyond just sales figures. It can also apply to customer feedback, operational efficiency metrics, and even social media engagement statistics. For example, a company may want to understand its customer satisfaction levels better. By aggregating feedback from various channels—such as online surveys, social media comments, and direct customer interactions—the organization can obtain a clearer picture of overall customer sentiment. This aggregated data can then inform improvements in service delivery and product offerings.In the realm of public policy, the combined aggregate (综合总和) of data is equally vital. Governments often analyze data from multiple departments to assess the effectiveness of policies and programs. For instance, when evaluating the impact of a new educational initiative, a government may look at data from schools, student performance metrics, and community feedback. By considering the combined aggregate (综合总和) of this information, policymakers can make more nuanced decisions that benefit the entire education system rather than relying on isolated data points.Furthermore, the importance of combined aggregate (综合总和) data is underscored in the field of research. Scientists and researchers often compile data from various studies to conduct meta-analyses. This approach allows them to draw more robust conclusions by considering a broader range of evidence. For example, in medical research, a meta-analysis of clinical trials can provide insights into the efficacy of a treatment that individual studies might not reveal due to smaller sample sizes.However, while the combined aggregate (综合总和) of data offers many advantages, it is essential to approach this analysis with caution. Aggregating data without proper context can lead to misleading conclusions. It is crucial to ensure that the data being combined is comparable and relevant to the questions being asked. Additionally, organizations must be mindful of data privacy and ethical considerations when aggregating personal information.In conclusion, the combined aggregate (综合总和) of data plays a critical role in modern decision-making processes across various fields. Whether in business, public policy, or research, understanding and leveraging this concept can lead to more informed and effective outcomes. As we continue to navigate an increasingly data-driven world, the ability to analyze and interpret combined aggregate (综合总和) data will undoubtedly remain a valuable skill for professionals in all sectors.

在当今快速发展的世界中，数据分析的概念变得越来越重要。各行各业的组织依赖数据做出明智的决策。数据分析中使用的关键技术之一是对多个数据集的combined aggregate（综合总和）的评估。这种方法使企业能够全面了解其运营和客户行为。通过聚合来自不同来源的数据，组织可以识别趋势、模式和异常，这些在单独检查各个数据集时可能不会明显。例如，考虑一家零售公司，它从各个商店收集销售数据。如果该公司仅独立查看每家商店的销售数字，它可能会错过在查看所有商店的combined aggregate（综合总和）时出现的重要趋势。通过分析整体销售表现，公司可以确定哪些产品在各地表现良好，或者哪些地点表现不佳。这一见解对于制定关于库存管理、营销活动和资源分配的战略决策至关重要。此外，combined aggregate（综合总和）数据的使用不仅限于销售数字。它还可以应用于客户反馈、运营效率指标，甚至社交媒体互动统计。例如，一家公司可能希望更好地理解其客户满意度。通过聚合来自多个渠道的反馈——如在线调查、社交媒体评论和直接客户互动——组织可以获得整体客户情绪的更清晰图景。这些聚合数据随后可以为服务交付和产品提供改进提供信息。在公共政策领域，combined aggregate（综合总和）数据同样至关重要。政府通常会分析来自多个部门的数据，以评估政策和项目的有效性。例如，在评估新教育倡议的影响时，政府可能会查看来自学校、学生表现指标和社区反馈的数据。通过考虑这些信息的combined aggregate（综合总和），政策制定者可以做出更细致的决策，惠及整个教育系统，而不是依赖孤立的数据点。此外，combined aggregate（综合总和）数据的重要性在研究领域得到了强调。科学家和研究人员通常会汇编来自各种研究的数据，以进行荟萃分析。这种方法使他们能够通过考虑更广泛的证据来得出更稳健的结论。例如，在医学研究中，临床试验的荟萃分析可以提供治疗效果的洞察，而单个研究由于样本量较小可能无法揭示。然而，尽管combined aggregate（综合总和）数据提供了许多优势，但在进行此分析时必须谨慎。没有适当上下文的聚合数据可能导致误导性结论。确保被组合的数据是可比较的，并与所问问题相关至关重要。此外，组织在聚合个人信息时必须注意数据隐私和伦理考虑。总之，combined aggregate（综合总和）数据在现代各个领域的决策过程中发挥着关键作用。无论是在商业、公共政策还是研究中，理解和利用这一概念都可以导致更明智、更有效的结果。随着我们继续在一个日益数据驱动的世界中航行，分析和解释combined aggregate（综合总和）数据的能力无疑将继续成为各行业专业人士的一项宝贵技能。