sequential collation of range

简明释义

距离连续校正

英英释义

例句

1.The software performs a sequential collation of range to organize data efficiently.

该软件执行范围的顺序整理以高效组织数据。

2.The research team conducted a sequential collation of range to evaluate the results systematically.

研究团队进行了范围的顺序整理以系统地评估结果。

3.In this project, we will implement a sequential collation of range method for data integration.

在这个项目中，我们将实施一种范围的顺序整理方法进行数据整合。

4.During the analysis, we need a sequential collation of range to compare different datasets.

在分析过程中，我们需要范围的顺序整理以比较不同的数据集。

5.To improve performance, the database utilizes sequential collation of range for sorting records.

为了提高性能，数据库使用范围的顺序整理来排序记录。

作文

In the realm of data management and analysis, the phrase sequential collation of range holds significant importance. It refers to the systematic arrangement and organization of data points within a specified range in a sequential manner. This process is crucial for various fields such as statistics, computer science, and business analytics, where accurate data handling can lead to insightful conclusions and informed decision-making.To understand the concept better, let’s break down the components of sequential collation of range. The term 'sequential' implies an ordered series, meaning that the data is arranged in a specific sequence. This could be chronological, numerical, or based on any other logical order that suits the analysis at hand. For instance, in a dataset containing sales figures over several months, arranging these figures in a chronological sequence allows analysts to observe trends and patterns over time.The second part of the phrase, 'collation of range,' pertains to the gathering and organizing of data within a defined scope. A 'range' could refer to a set of values, such as ages from 18 to 65, or it could represent a period, like the first quarter of the year. Collation involves collecting these data points and ensuring they are accurately represented in the analysis. When we speak of the sequential collation of range, we emphasize not just the collection of data but also its ordered arrangement, which is fundamental for clarity and effectiveness in data interpretation.For example, consider a researcher examining the effects of different diets on weight loss over a range of six months. By employing the sequential collation of range method, the researcher can categorize participants by their starting weights and then track their progress month by month. This organized approach enables the researcher to easily identify which diet plans yield the best results over time and allows for a straightforward comparison across different groups.Moreover, in the context of technology and programming, the sequential collation of range is often utilized in algorithms that require sorting data. For instance, when developing a software application that manages user data, programmers may need to implement functions that sort user information based on criteria such as age or registration date. By using the sequential collation of range technique, the application can efficiently process and display this information, enhancing user experience and functionality.In conclusion, the sequential collation of range is a vital concept in data analysis that promotes an organized and systematic approach to handling information. Whether in research, business, or technology, understanding how to effectively collate and arrange data sequentially within a given range can lead to more accurate analyses and better decision-making. As the world becomes increasingly data-driven, mastering techniques like the sequential collation of range will undoubtedly prove beneficial for professionals across various domains.

在数据管理和分析领域，短语sequential collation of range具有重要意义。它指的是在指定范围内以顺序方式对数据点进行系统排列和组织的过程。这一过程对于统计学、计算机科学和商业分析等多个领域至关重要，因为准确的数据处理可以导致有见地的结论和明智的决策。为了更好地理解这一概念，让我们分解一下sequential collation of range的组成部分。术语“sequential”意味着一个有序系列，这意味着数据是按照特定顺序排列的。这可以是按时间顺序、按数值顺序，或者基于任何其他适合当前分析的逻辑顺序。例如，在包含几个月销售额的数据集中，将这些数字按时间顺序排列，可以让分析师观察到趋势和模式。短语的第二部分“collation of range”涉及在定义范围内收集和组织数据。“range”可以指一组值，例如年龄从18到65岁，或者可以表示一个时期，比如一年中的第一季度。Collation涉及收集这些数据点并确保它们在分析中准确呈现。当我们谈论sequential collation of range时，我们强调的不仅是数据的收集，还有其有序排列，这对于数据解释的清晰性和有效性至关重要。例如，考虑一位研究人员正在检查不同饮食对减肥的影响，持续六个月。通过采用sequential collation of range方法，研究人员可以根据参与者的起始体重进行分类，然后逐月跟踪他们的进展。这种有组织的方法使研究人员能够轻松识别哪些饮食计划在一段时间内产生最佳效果，并允许在不同组之间进行直接比较。此外，在技术和编程的背景下，sequential collation of range通常用于需要对数据进行排序的算法中。例如，当开发一个管理用户数据的软件应用程序时，程序员可能需要实现根据年龄或注册日期等标准对用户信息进行排序的功能。通过使用sequential collation of range技术，应用程序可以高效地处理和显示这些信息，从而增强用户体验和功能。总之，sequential collation of range是数据分析中的一个重要概念，促进了处理信息的有组织和系统的方法。无论是在研究、商业还是技术领域，理解如何有效地在给定范围内顺序整理和排列数据，可以导致更准确的分析和更好的决策。随着世界日益数据驱动，掌握像sequential collation of range这样的技术无疑将对各个领域的专业人士大有裨益。