not elsewhere included

简明释义

其他问题不包括在内

英英释义

例句

1.When filing taxes, be sure to list any income that is not elsewhere included to avoid discrepancies.

在报税时，请确保列出任何不在其他地方包括的收入，以避免差异。

2.In the financial report, the revenue from miscellaneous sources was marked as not elsewhere included to clarify its origin.

在财务报告中，来自杂项来源的收入被标记为不在其他地方包括以澄清其来源。

3.The survey included a section for comments that were not elsewhere included in the questionnaire.

调查问卷中包括了一个评论部分，这些评论在问卷中不在其他地方包括。

4.The expenses for the project were categorized as not elsewhere included, meaning they didn't fit into any other predefined category.

该项目的费用被归类为不在其他地方包括，意味着它们不符合任何其他预定义类别。

5.The budget breakdown showed several items as not elsewhere included, indicating they were unique expenses.

预算细目显示几个项目为不在其他地方包括，表明它们是独特的费用。

作文

In today's rapidly evolving world, the need for precise classification and categorization has never been more important. One term that often arises in discussions of data organization and statistical analysis is not elsewhere included. This phrase is particularly significant in various fields, including economics, sociology, and environmental studies, as it helps to ensure that every piece of data is accounted for in a systematic manner. Understanding the implications of not elsewhere included can greatly enhance our ability to analyze data effectively and make informed decisions based on comprehensive information.To illustrate the importance of this term, consider a scenario in which researchers are collecting data on different types of businesses within a specific region. They may categorize businesses into various sectors such as retail, manufacturing, and services. However, there will inevitably be some businesses that do not fit neatly into these predefined categories. For instance, a unique hybrid business that combines elements of both retail and manufacturing might not be easily classified. In such cases, researchers would label these businesses as not elsewhere included, ensuring that they are still recognized and included in the overall analysis without distorting the integrity of the other categories.The concept of not elsewhere included serves as a reminder of the complexity and diversity present in real-world data. It highlights the necessity of creating flexible frameworks that can accommodate outliers or unique cases rather than forcing them into arbitrary categories. This flexibility is crucial for obtaining accurate insights and fostering innovation, as it allows researchers to recognize patterns and trends that might otherwise go unnoticed.Moreover, the use of not elsewhere included can help prevent bias in research outcomes. When data points are excluded simply because they do not fit existing categories, it can lead to skewed results and misinterpretations. By acknowledging these outliers and designating them as not elsewhere included, researchers can maintain the integrity of their findings and provide a more holistic view of the subject matter.In the realm of government statistics, not elsewhere included also plays a vital role. For example, in census data collection, individuals who do not identify with any of the standard demographic categories may be classified as not elsewhere included. This ensures that their existence is acknowledged in the data, which can inform policy decisions and resource allocation. By recognizing these individuals, governments can work towards inclusivity and ensure that all voices are heard in the decision-making process.In conclusion, the phrase not elsewhere included carries significant weight in the context of data analysis and classification. It emphasizes the importance of inclusivity and flexibility in research, allowing for a more accurate representation of complex realities. As we continue to navigate an increasingly data-driven world, embracing concepts like not elsewhere included will be essential for fostering innovation, ensuring fairness, and making informed decisions based on comprehensive data. By understanding and applying this concept, we can better appreciate the nuances of the information we encounter and strive towards a more inclusive and accurate portrayal of our world.

在当今快速发展的世界中，精确分类和归类的需求比以往任何时候都更加重要。一个在数据组织和统计分析讨论中经常出现的术语是不另行列入。这个短语在经济学、社会学和环境研究等多个领域中尤为重要，因为它有助于确保每一条数据都能以系统的方式被纳入统计。理解不另行列入的含义，可以大大增强我们有效分析数据的能力，并根据全面的信息做出明智的决策。为了说明这个术语的重要性，考虑一个场景，研究人员正在收集特定地区不同类型企业的数据。他们可能会将企业分为零售、制造和服务等各个行业。然而，必然会有一些企业无法整齐地划分到这些预定义的类别中。例如，一个结合了零售和制造元素的独特混合型企业可能无法轻易分类。在这种情况下，研究人员会将这些企业标记为不另行列入，确保它们仍然被识别并纳入整体分析中，而不会扭曲其他类别的完整性。不另行列入的概念提醒我们，现实世界数据中存在着复杂性和多样性。它突显了创建灵活框架的必要性，这种框架可以容纳离群值或独特案例，而不是强迫它们进入任意类别。这种灵活性对于获得准确的洞察力和促进创新至关重要，因为它使研究人员能够识别可能被忽视的模式和趋势。此外，使用不另行列入还可以帮助防止研究结果中的偏见。当数据点因为不符合现有类别而被排除时，可能会导致结果失真和误解。通过承认这些离群值并将其标记为不另行列入，研究人员可以保持其发现的完整性，并提供对主题的更全面的视角。在政府统计领域，不另行列入也发挥着重要作用。例如，在人口普查数据收集过程中，未与任何标准人口统计类别相符的个人可能会被归类为不另行列入。这确保了他们的存在在数据中得到认可，这可以为政策决策和资源分配提供信息。通过承认这些个人，政府可以努力实现包容性，确保在决策过程中听到所有声音。总之，术语不另行列入在数据分析和分类的背景下具有重要意义。它强调了研究中包容性和灵活性的重要性，使得对复杂现实的更准确的表现成为可能。随着我们继续在一个日益以数据驱动的世界中航行，接受像不另行列入这样的概念将对促进创新、确保公平以及基于全面数据做出明智决策至关重要。通过理解和应用这一概念，我们可以更好地欣赏我们所遇到的信息的细微差别，并努力朝着对我们世界的更全面和准确的描绘前进。