disaggregate

简明释义

英[dɪsˈæɡrɪɡeɪt]美[dɪsˈæɡrəɡeɪt]

vt. 分解；使……崩溃；解开聚集

vi. 分解；解聚

adj. 无组织的；分解的

第 三 人 称 单 数 d i s a g g r e g a t e s

现 在 分 词 d i s a g g r e g a t i n g

过 去 式 d i s a g g r e g a t e d

过 去 分 词 d i s a g g r e g a t e d

英英释义

单词用法

同义词

反义词

例句

1.This paper presents the qualitative evaluation system from, respectively, users', managers' and society's points of view, and develops a disaggregate network equilibrium model for congestion charge.

定性分析中，分别从出行者、收费管理者以及全社会三个视角出发，提出中心区拥堵收费的定性评价体系。

2.This paper presents the qualitative evaluation system from, respectively, users', managers' and society's points of view, and develops a disaggregate network equilibrium model for congestion charge.

定性分析中，分别从出行者、收费管理者以及全社会三个视角出发，提出中心区拥堵收费的定性评价体系。

3.So the paper studies the transportation resource integration among the different transportation modes from the user properties according to the disaggregate theory.

因此根据非集计理论，从运输方式使用者自身属性出发对运输方式资源整合进行了分析。

4.The initial step is to break down or disaggregate a process into a number of tasks. Collectively, these tasks must be completed for the construction of a facility.

第一步是将某工作分解成许多项任务，当然每项任务都是为项目建设服务的。

5.The characteristics of the disaggregate model, and the SP questionnaire design and implementation are introduced.

介绍了非集计模型的特点、意向调查问卷设计及调查的实施方法。

6.Researchers have tried to disaggregate the influence of these soft factors and have found it nearly impossible.

研究人员尝试过将这些软性因素的影响分离出来，发现这几乎是不可能的。

7.The initial step is to break down or disaggregate a process into a number of tasks.

最初的步骤是要打破或分解的过程分成若干任务。

8.It may also aggregate and disaggregate messages in a one-to-many relationship.

它还可以对一对多关系中的消息进行聚合和反聚合。

9.To better analyze the data, we need to disaggregate the results by demographic groups.

为了更好地分析数据，我们需要将结果按人口统计组进行拆分。

10.The report will disaggregate the sales figures to show performance by region.

该报告将拆分销售数据，以显示各地区的业绩。

11.In order to understand the trends, we must disaggregate the yearly data into monthly figures.

为了理解趋势，我们必须将年度数据拆分为每月数据。

12.The researchers decided to disaggregate the survey responses based on age and gender.

研究人员决定根据年龄和性别拆分调查回应。

13.Before making decisions, it's essential to disaggregate the financial statements.

在做出决策之前，必须拆分财务报表。

作文

In the realm of data analysis and statistics, one term that frequently arises is disaggregate. To disaggregate means to break down a dataset into smaller, more detailed components. This process allows researchers and analysts to gain deeper insights into the underlying patterns and trends within the data. For instance, when examining national economic data, it may be useful to disaggregate the information by region, age group, or income level. By doing so, one can identify specific areas that are thriving economically versus those that are struggling. The importance of disaggregating data cannot be overstated. In many cases, aggregated data can mask significant disparities and nuances that are crucial for informed decision-making. For example, consider a healthcare study that presents average patient outcomes across an entire population. If researchers fail to disaggregate the data by factors such as gender, ethnicity, or socioeconomic status, they might overlook critical differences in health outcomes that could inform policy changes or targeted interventions. Moreover, disaggregating data can enhance the effectiveness of programs and initiatives. Nonprofit organizations often rely on detailed data analysis to tailor their services to meet the specific needs of different communities. By disaggregating their data, these organizations can pinpoint which demographic groups are most affected by certain issues, such as food insecurity or lack of access to education. This enables them to allocate resources more effectively and implement strategies that are tailored to the unique challenges faced by each group. In the business world, companies also benefit from disaggregating their sales data. By analyzing sales figures at a granular level—such as by product line, geographic region, or customer segment—businesses can uncover trends that would otherwise remain hidden in aggregated data. This granular insight allows for more strategic decision-making, enabling companies to optimize their marketing efforts, improve customer satisfaction, and ultimately drive growth. However, disaggregating data is not without its challenges. One must ensure that the datasets being analyzed are sufficiently large and representative to avoid drawing misleading conclusions from small sample sizes. Additionally, the process of disaggregating can sometimes lead to privacy concerns, especially when dealing with sensitive information. Analysts must strike a balance between gaining valuable insights and protecting individual privacy rights. In conclusion, the ability to disaggregate data is a powerful tool in various fields, from healthcare to business. It allows for a more nuanced understanding of complex issues by breaking down information into smaller, more manageable parts. As we continue to generate vast amounts of data in our increasingly digital world, the skill of disaggregating information will become ever more essential. Whether it’s identifying health disparities, tailoring nonprofit services, or optimizing business strategies, the process of disaggregating data will undoubtedly play a critical role in driving informed decisions and fostering positive outcomes across multiple sectors.

在数据分析和统计的领域中，一个经常出现的术语是disaggregate。disaggregate的意思是将数据集分解为更小、更详细的组成部分。这个过程使研究人员和分析师能够深入洞察数据中的潜在模式和趋势。例如，在审查国家经济数据时，按地区、年龄组或收入水平disaggregate信息可能是有用的。通过这样做，人们可以识别出哪些特定区域在经济上繁荣，而哪些区域则在挣扎。 disaggregate数据的重要性不容小觑。在许多情况下，聚合的数据可能会掩盖重要的差异和细微之处，而这些对于明智的决策至关重要。例如，考虑一项医疗保健研究，它展示了整个群体的平均患者结果。如果研究人员未能按性别、种族或社会经济地位disaggregate数据，他们可能会忽视健康结果中的关键差异，这些差异可能会影响政策变化或针对性干预。 此外，disaggregate数据可以提高项目和倡议的有效性。非营利组织通常依赖于详细的数据分析，以便根据不同社区的具体需求量身定制服务。通过disaggregate他们的数据，这些组织可以确定哪些人口群体最受某些问题的影响，例如食品不安全或缺乏教育机会。这使他们能够更有效地分配资源，并实施针对每个群体面临的独特挑战的策略。 在商业世界中，公司也从disaggregate其销售数据中受益。通过以更精细的方式分析销售数据——例如按产品线、地理区域或客户细分——企业可以发现聚合数据中隐藏的趋势。这种细致的洞察力使得更具战略性的决策成为可能，使公司能够优化营销工作、提高客户满意度，并最终推动增长。 然而，disaggregate数据并非没有挑战。必须确保所分析的数据集足够大且具有代表性，以避免从小样本中得出误导性结论。此外，disaggregate过程有时可能会引发隐私问题，特别是在处理敏感信息时。分析师必须在获得有价值的见解与保护个人隐私权之间找到平衡。 总之，disaggregate数据的能力是各个领域的一项强大工具，从医疗保健到商业。它通过将信息分解为更小、更易管理的部分，使我们对复杂问题有了更细致的理解。随着我们在日益数字化的世界中继续生成大量数据，disaggregate信息的技能将变得越来越重要。无论是识别健康差异、量身定制非营利服务，还是优化商业策略，disaggregate数据的过程无疑将在推动明智的决策和促进多个领域的积极成果中发挥关键作用。