recode

简明释义

英[ˌriːˈkoʊd]美[ˌriːˈkoʊd]

vi. 重新编码

vt. 重新编码

英英释义

单词用法

同义词

反义词

例句

1.This event will recode the crystalline energy of both the planet and humanity.

这个事件会将地球和人类的水晶能量重新编码。

2.This event will recode the crystalline energy of both the planet and humanity.

这个事件会将地球和人类的水晶能量重新编码。

3.The project manager asked the developers to recode the legacy system for better integration.

项目经理要求开发人员重编码遗留系统以便更好地集成。

4.To adapt to new regulations, the company had to recode its compliance software.

为了适应新法规，公司不得不重编码其合规软件。

5.After discovering a bug, the team decided to recode the entire module.

在发现一个错误后，团队决定重编码整个模块。

6.The software engineer had to recode the application to improve its performance.

软件工程师不得不重编码应用程序以提高其性能。

7.To support new features, we need to recode the existing database structure.

为了支持新功能，我们需要重编码现有的数据库结构。

作文

In the age of technology, data plays a crucial role in almost every aspect of our lives. From social media to online shopping, we generate and consume vast amounts of information daily. However, this data is not always in a usable format. Sometimes, it needs to be transformed or adjusted to meet specific requirements. This is where the term recode comes into play. To recode means to change the format or structure of data, making it more suitable for analysis or processing. Recode can involve altering data types, changing variable names, or even converting numerical values into categorical ones. For instance, consider a scenario where a company collects customer feedback through surveys. The responses may be recorded in various formats, such as text, numbers, or multiple-choice selections. To analyze this data effectively, the company might need to recode the responses. This could involve converting 'Yes' and 'No' answers into binary values (1 and 0) or categorizing age ranges into groups like '18-25', '26-35', etc. This process allows for easier statistical analysis and helps in drawing meaningful conclusions from the data.The importance of recode cannot be overstated, especially in research and analytics. When researchers gather data, they often face the challenge of inconsistencies and variations in how data is recorded. By recodeing the data, they ensure that it is uniform and standardized, which is essential for accurate results. For example, if one researcher records the income of participants in thousands while another uses millions, the data will be incompatible unless it is recoded appropriately. Moreover, recodeing is not limited to numerical data. It can also apply to qualitative data. In qualitative research, responses may vary significantly in wording. Researchers may need to recode these responses into themes or categories to identify patterns and trends. This qualitative recodeing process is vital in ensuring that the analysis reflects the underlying sentiments and opinions of the participants accurately.In the realm of programming and software development, recodeing can refer to rewriting code to improve performance or functionality. Developers may find that certain algorithms or functions are inefficient or outdated. In such cases, they might decide to recode the software to enhance its capabilities or adapt it to new technologies. This practice is essential for maintaining the relevance and efficiency of software applications in an ever-evolving digital landscape.In conclusion, the concept of recode is integral to data management, research, and software development. Whether it's transforming survey responses for analysis, standardizing data for research purposes, or improving software performance, recodeing plays a pivotal role. As we continue to generate and rely on data, understanding how to recode effectively will remain a valuable skill in both academic and professional contexts. The ability to manipulate and adjust data ensures that we can derive meaningful insights and maintain the functionality of the tools we use every day.

在科技时代，数据在我们生活的几乎每个方面都扮演着至关重要的角色。从社交媒体到在线购物，我们每天生成和消费大量信息。然而，这些数据并不总是以可用的格式存在。有时，它需要被转换或调整以满足特定要求。这就是术语recode的作用。Recode意味着更改数据的格式或结构，使其更适合分析或处理。Recode可能涉及改变数据类型、修改变量名称，甚至将数值转换为分类值。例如，考虑一个公司通过调查收集客户反馈的场景。响应可能以各种格式记录，例如文本、数字或多项选择。为了有效地分析这些数据，公司可能需要recode这些响应。这可能涉及将“是”和“否”答案转换为二进制值（1和0），或将年龄范围分类为“18-25岁”、“26-35岁”等。这个过程使统计分析变得更加容易，并有助于从数据中得出有意义的结论。Recode的重要性不容小觑，尤其是在研究和分析中。当研究人员收集数据时，他们经常面临数据记录不一致和变化的挑战。通过recode数据，他们确保数据统一和标准化，这对于准确的结果至关重要。例如，如果一个研究人员以千为单位记录参与者的收入，而另一个以百万为单位，则除非适当地recode，否则数据将不兼容。此外，recode不仅限于数值数据。它也可以应用于定性数据。在定性研究中，响应的措辞可能会有显著差异。研究人员可能需要recode这些响应为主题或类别，以识别模式和趋势。这种定性recode过程在确保分析准确反映参与者的潜在情感和观点方面至关重要。在编程和软件开发领域，recode可以指重写代码以改善性能或功能。开发人员可能发现某些算法或功能效率低下或过时。在这种情况下，他们可能决定recode软件，以增强其能力或使其适应新技术。这一做法对于维护软件应用程序在不断发展的数字环境中的相关性和效率至关重要。总之，recode的概念对数据管理、研究和软件开发至关重要。无论是转化调查响应以进行分析，标准化数据以用于研究目的，还是改善软件性能，recode都发挥着关键作用。随着我们继续生成和依赖数据，理解如何有效recode将始终是一项在学术和专业领域中有价值的技能。操纵和调整数据的能力确保我们能够得出有意义的见解，并保持我们每天使用工具的功能。