subindex

简明释义

英[sʌbˈɪndeks]美[sʌbˈɪndeks]

n. 分指数

复 数 s u b i n d i c e x 或 s u b i n d e x e s

英英释义

单词用法

同义词

反义词

例句

1.A subindex measuring input prices fell to 66.2 in April, a seven-month low, from 68.3 in March.

衡量进口价格的分指数四月份降到了66.2，创七个月来的新低。三月份的分指数为68.3。

2.A subindex measuring input prices fell to 66.2 in April, a seven-month low, from 68.3 in March.

衡量进口价格的分指数四月份降到了66.2，创七个月来的新低。三月份的分指数为68.3。

3.The health sector's subindex 子指数 indicates a rising trend in healthcare spending.

健康部门的子指数显示医疗支出的上升趋势。

4.In the stock market, the performance of tech companies is often tracked by a specific subindex 子指数 that reflects their growth.

在股市中，科技公司的表现通常通过一个特定的子指数来跟踪，以反映它们的增长。

5.Analysts use a variety of subindexes 子指数 to measure different sectors of the economy.

分析师使用多种子指数来衡量经济的不同部门。

6.The economic report included a detailed analysis of the inflation rate, along with the subindex 子指数 for consumer prices.

经济报告包括了对通货膨胀率的详细分析，以及消费者价格的子指数。

7.The subindex 子指数 for housing prices showed a significant increase last quarter.

住房价格的子指数在上个季度显示出显著增长。

作文

In today's fast-paced world, data analysis plays a crucial role in decision-making processes across various sectors. One of the key components of data analysis is the use of indices, which help to summarize and interpret complex datasets. A specific term that often comes up in this context is subindex, which refers to a secondary index that provides additional insights into a larger index. Understanding the concept of subindex can significantly enhance our ability to analyze data effectively.To illustrate the importance of subindex, let’s consider the example of economic indicators. Economists often rely on a primary index, such as the Consumer Price Index (CPI), to gauge inflation levels. However, within the CPI, there are various categories like food, housing, and transportation, each of which can be represented by its own subindex. By examining these subindices, economists can identify which specific areas are driving inflation and make more informed predictions about future economic trends.Moreover, in the field of finance, investors frequently utilize stock market indices to assess market performance. The S&P 500, for instance, is a well-known index that tracks the performance of 500 large companies. Within this index, there are subindices that categorize companies by industry, such as technology, healthcare, or energy. This categorization allows investors to analyze sector-specific performance and adjust their investment strategies accordingly.The application of subindex is not limited to economics and finance; it extends to various fields, including social sciences and environmental studies. For example, in environmental research, a primary index might measure overall air quality, while subindices could focus on specific pollutants like nitrogen dioxide or particulate matter. This detailed breakdown enables researchers to pinpoint sources of pollution and develop targeted interventions.Furthermore, the use of subindex enhances clarity and precision in reporting. When presenting data to stakeholders, it is essential to convey not only the overall trends but also the underlying factors that contribute to those trends. By incorporating subindices into reports, analysts can provide a more nuanced view that helps stakeholders understand the complexities of the data.In conclusion, the concept of subindex is integral to effective data analysis across various disciplines. It allows for a deeper understanding of the underlying factors that drive overall trends, enabling more informed decision-making. As we continue to navigate an increasingly data-driven world, mastering the use of subindex will undoubtedly be a valuable skill for anyone involved in data analysis. Whether in economics, finance, environmental studies, or beyond, the ability to dissect data into primary indices and their corresponding subindices will enhance our analytical capabilities and improve our understanding of complex issues.

在当今快节奏的世界中，数据分析在各个行业的决策过程中发挥着至关重要的作用。数据分析的一个关键组成部分是使用指数，这有助于总结和解释复杂的数据集。在这种情况下，一个经常出现的特定术语是subindex，它指的是提供对更大指数附加见解的次级指数。理解subindex的概念可以显著增强我们有效分析数据的能力。为了说明subindex的重要性，让我们考虑经济指标的例子。经济学家通常依赖一个主要指数，例如消费者物价指数（CPI），来衡量通货膨胀水平。然而，在CPI中，有各种类别，如食品、住房和交通，每个类别都可以用自己的subindex表示。通过检查这些subindices，经济学家可以识别出具体哪些领域正在推动通货膨胀，并做出更明智的未来经济趋势预测。此外，在金融领域，投资者经常利用股票市场指数来评估市场表现。例如，标准普尔500指数就是一个众所周知的指数，跟踪500家大型公司的表现。在这个指数中，有按行业分类的subindices，例如技术、医疗保健或能源。这种分类使投资者能够分析特定行业的表现，并相应地调整他们的投资策略。subindex的应用不仅限于经济学和金融；它扩展到包括社会科学和环境研究等各个领域。例如，在环境研究中，一个主要指数可能衡量整体空气质量，而subindices可能专注于特定的污染物，如二氧化氮或颗粒物。这种详细的分解使研究人员能够找出污染源并制定针对性的干预措施。此外，使用subindex提高了报告的清晰度和准确性。当向利益相关者呈现数据时，传达整体趋势以及导致这些趋势的潜在因素至关重要。通过将subindices纳入报告，分析师可以提供更细致的视图，帮助利益相关者理解数据的复杂性。总之，subindex的概念对于有效的数据分析在各个学科中都是不可或缺的。它允许深入了解驱动整体趋势的潜在因素，使得决策更加明智。随着我们继续在一个越来越依赖数据的世界中导航，掌握subindex的使用无疑将成为任何参与数据分析的人的一项宝贵技能。无论是在经济学、金融、环境研究还是其他领域，将数据分解为主要指数及其相应的subindices的能力将增强我们的分析能力，并改善我们对复杂问题的理解。