automatic number normalization

简明释义

自动数值规格化;

英英释义

例句

1.When importing data, automatic number normalization ensures that all entries follow the same pattern.

在导入数据时，自动数字标准化确保所有条目遵循相同的模式。

2.The software uses automatic number normalization to ensure that all phone numbers are formatted correctly.

该软件使用自动数字标准化来确保所有电话号码格式正确。

3.With automatic number normalization, the database can store numbers in a consistent format.

通过自动数字标准化，数据库可以以一致的格式存储数字。

4.The automatic number normalization process converts various number formats into a standard one.

自动数字标准化过程将各种数字格式转换为标准格式。

5.The system's automatic number normalization feature helps reduce data entry errors.

系统的自动数字标准化功能有助于减少数据输入错误。

作文

In the realm of data processing and analysis, one of the significant challenges faced by researchers and analysts is the inconsistency of numerical data. This inconsistency can arise from various sources, such as different formats, units of measurement, or even human errors during data entry. To address these challenges, a technique known as automatic number normalization is employed. This process involves standardizing numerical data to ensure that it is in a consistent format, making it easier to analyze and interpret. 自动数字规范化是指将数值数据转换为统一的标准格式，以便于进一步处理和分析。 The importance of automatic number normalization cannot be overstated, especially in fields such as finance, healthcare, and scientific research. For instance, consider a financial dataset containing revenue figures reported in different currencies. Without automatic number normalization, comparing these figures would be nearly impossible. By converting all amounts to a single currency and ensuring they are represented in a consistent format, analysts can gain valuable insights into the overall financial performance of a company or industry. Similarly, in healthcare, patient data may include measurements like blood pressure, weight, and height recorded in various units (e.g., pounds vs. kilograms, inches vs. centimeters). Implementing automatic number normalization allows healthcare professionals to compare and analyze patient information accurately, leading to better diagnoses and treatment plans. 自动数字规范化在医疗领域同样至关重要，因为它确保了不同单位的测量数据可以被有效地比较和分析，从而提高了治疗效果。Moreover, scientific research often relies on data collected from multiple studies or experiments. Each study may have its own method of reporting numerical results, which can lead to discrepancies and confusion. By applying automatic number normalization, researchers can compile and synthesize data from various sources, enabling them to draw more reliable conclusions and make informed decisions based on comprehensive evidence. The process of automatic number normalization typically involves several steps. First, data is collected from various sources and formatted into a standardized structure. Next, any discrepancies in units or formats are identified and corrected. For example, converting all temperature readings to Celsius or all distances to kilometers. Finally, the normalized data is validated to ensure accuracy and consistency before being used for analysis. 自动数字规范化的过程通常包括多个步骤：首先从不同来源收集数据，并将其格式化为统一的结构；接下来，识别并纠正单位或格式上的任何差异；最后，在用于分析之前，对规范化的数据进行验证，以确保其准确性和一致性。In conclusion, automatic number normalization plays a crucial role in ensuring the integrity and usability of numerical data across various domains. By standardizing data formats and units, this technique not only simplifies data analysis but also enhances the reliability of the conclusions drawn from the data. As we continue to generate and collect vast amounts of data in our increasingly digital world, the need for effective methods such as automatic number normalization will only grow. Embracing these techniques will empower organizations and individuals to make better-informed decisions based on accurate and comparable data. 自动数字规范化在我们的数字化世界中扮演着越来越重要的角色，能够帮助组织和个人基于准确且可比较的数据做出更明智的决策。

在数据处理和分析领域，研究人员和分析师面临的一个重大挑战是数值数据的不一致性。这种不一致性可能源于多种因素，例如不同的格式、测量单位，甚至在数据输入过程中出现的人为错误。为了解决这些挑战，采用了一种称为自动数字规范化的技术。这个过程涉及标准化数值数据，以确保它们处于一致的格式，从而更容易进行分析和解释。自动数字规范化是指将数值数据转换为统一的标准格式，以便于进一步处理和分析。自动数字规范化的重要性不容小觑，尤其是在金融、医疗保健和科学研究等领域。例如，考虑一个包含以不同货币报告的收入数据集。如果没有自动数字规范化，比较这些数字几乎是不可能的。通过将所有金额转换为单一货币并确保它们以一致的格式表示，分析师可以获得关于公司或行业整体财务表现的宝贵见解。同样，在医疗保健中，患者数据可能包括以各种单位（例如磅与千克、英寸与厘米）记录的血压、体重和身高等测量值。实施自动数字规范化使医疗专业人员能够准确比较和分析患者信息，从而导致更好的诊断和治疗方案。自动数字规范化在医疗领域同样至关重要，因为它确保了不同单位的测量数据可以被有效地比较和分析，从而提高了治疗效果。此外，科学研究通常依赖于从多个研究或实验中收集的数据。每项研究可能有自己报告数值结果的方法，这可能导致差异和混淆。通过应用自动数字规范化，研究人员可以汇编和综合来自不同来源的数据，使他们能够得出更可靠的结论，并根据全面的证据做出明智的决策。自动数字规范化的过程通常包括几个步骤。首先，从各种来源收集数据并格式化为标准结构。接下来，识别并纠正单位或格式上的任何差异。例如，将所有温度读数转换为摄氏度或将所有距离转换为公里。最后，在用于分析之前，对规范化的数据进行验证，以确保准确性和一致性。总之，自动数字规范化在确保各个领域数值数据的完整性和可用性方面发挥着至关重要的作用。通过标准化数据格式和单位，这一技术不仅简化了数据分析，还增强了从数据中得出的结论的可靠性。随着我们在日益数字化的世界中继续生成和收集大量数据，对有效方法的需求，如自动数字规范化，只会不断增长。拥抱这些技术将使组织和个人能够基于准确且可比较的数据做出更明智的决策。自动数字规范化在我们的数字化世界中扮演着越来越重要的角色，能够帮助组织和个人基于准确且可比较的数据做出更明智的决策。