outputted
简明释义
产量
输出功率
输出(outpoint 的过去式和过去分词)
英英释义
The past tense of output, meaning to produce or deliver data or information. | output的过去式,意为产生或传递数据或信息。 |
单词用法
输出的数据 | |
输出的结果 | |
输出的信息 | |
输出到文件中 | |
实时输出 | |
由系统输出 |
同义词
生成 | 系统成功生成了报告。 | ||
产生 | 软件在处理后生成了一个新文件。 | ||
交付 | 打印机按时交付了文件。 | ||
发布 | 应用程序发布了一个错误消息。 |
反义词
输入 | 数据被输入到系统中进行处理。 | ||
接收 | The information received from the client was crucial for the project. | 从客户那里接收到的信息对项目至关重要。 |
例句
1.As you can see, the secret data that we added is outputted to the console.
正如你所看到的,秘密的数据,我们将被输出到控制台。
2.The last step is to include the outputted header file in your application.
最后一步是将其纳入您的应用程序输出的头文件。
3.As you can see, the secret data that we added is outputted to the console.
正如你所看到的,秘密的数据,我们将被输出到控制台。
4.The audio software outputted the sound file in high quality.
音频软件以高质量输出了声音文件。
5.The software has successfully outputted the final report.
软件已成功输出最终报告。
6.The printer outputted the document after a few minutes of waiting.
打印机在等待几分钟后输出了文件。
7.Once the calculations were complete, the program outputted the findings on the screen.
计算完成后,程序在屏幕上输出了结果。
8.After processing the data, the system outputted the results in a CSV format.
处理完数据后,系统以CSV格式输出了结果。
作文
In today's digital age, the importance of data cannot be overstated. Companies and organizations rely heavily on the information they gather to make informed decisions. One crucial aspect of data management is how this information is processed and then outputted (输出) for analysis and reporting. Understanding this process is essential for anyone who works with data, whether in business, education, or research.When data is collected, it often comes in various forms such as numbers, text, images, or even audio. This raw data must be cleaned and organized before it can be effectively analyzed. Once the data is prepared, it can be outputted (输出) using different methods. For instance, statistical software can generate visual representations like graphs and charts that help stakeholders understand trends and patterns. Moreover, the way data is outputted (输出) can significantly impact decision-making processes. For example, a marketing team might analyze customer behavior data and then present their findings in a report. If the data is outputted (输出) clearly and concisely, it allows the team to identify key insights quickly. On the other hand, poorly presented data can lead to misunderstandings and misguided strategies.In addition to clarity, the format in which data is outputted (输出) is also important. Different stakeholders may require different formats depending on their needs. A technical team might prefer detailed spreadsheets, while executives might favor summary dashboards. Therefore, being able to customize how data is outputted (输出) is a valuable skill in any data-driven environment.Furthermore, advancements in technology have made it easier than ever to automate the process of data outputting (输出). With the use of programming languages like Python or R, professionals can write scripts that automatically gather, process, and output (输出) data at regular intervals. This not only saves time but also reduces the likelihood of human error, ensuring that the information provided is accurate and up-to-date.As we move forward, the ability to effectively manage and output (输出) data will become even more critical. Organizations that can harness the power of their data will have a competitive advantage in the marketplace. Training in data analytics and understanding how to manipulate and output (输出) information will be essential skills for future professionals.In conclusion, the term outputted (输出) encapsulates a vital function in the realm of data management. Whether it's through visualizations, reports, or automated systems, the way data is outputted (输出) can influence decisions and drive success. As we continue to navigate an increasingly data-driven world, mastering the art of data outputting (输出) will undoubtedly be a key factor in achieving organizational goals and fostering innovation.
在当今数字时代,数据的重要性不容小觑。公司和组织在做出明智决策时,极度依赖他们收集的信息。数据管理的一个关键方面是如何处理这些信息,然后将其输出(输出)用于分析和报告。理解这个过程对任何与数据打交道的人来说都是至关重要的,无论是在商业、教育还是研究领域。当数据被收集时,它通常以数字、文本、图像甚至音频等各种形式出现。这些原始数据必须经过清理和组织,才能有效分析。一旦数据准备好,就可以通过不同的方法进行输出(输出)。例如,统计软件可以生成图表和图形等可视化表示,帮助利益相关者理解趋势和模式。此外,数据如何被输出(输出)会显著影响决策过程。例如,市场营销团队可能会分析客户行为数据,然后将他们的发现呈现在报告中。如果数据被清晰而简洁地输出(输出),则团队能够快速识别关键见解。相反,数据表现不佳可能导致误解和错误的策略。除了清晰度之外,数据被输出(输出)的格式也很重要。不同的利益相关者可能根据他们的需求需要不同的格式。技术团队可能更喜欢详细的电子表格,而高管可能更喜欢总结仪表板。因此,能够自定义数据如何被输出(输出)是一项在任何数据驱动环境中都非常有价值的技能。此外,技术的进步使得自动化数据输出(输出)过程变得比以往任何时候都容易。通过使用Python或R等编程语言,专业人员可以编写脚本,定期自动收集、处理和输出(输出)数据。这不仅节省了时间,还减少了人为错误的可能性,确保提供的信息准确且最新。随着我们向前发展,有效管理和输出(输出)数据的能力将变得更加关键。能够利用数据的组织将在市场中拥有竞争优势。数据分析培训以及理解如何处理和输出(输出)信息将成为未来专业人员的基本技能。总之,术语outputted(输出)概括了数据管理领域中的一个重要功能。无论是通过可视化、报告还是自动化系统,数据如何被输出(输出)都能影响决策并推动成功。随着我们继续导航日益数据驱动的世界,掌握数据输出(输出)的艺术无疑将在实现组织目标和促进创新方面成为关键因素。