analyzer

简明释义

英['ænəlaɪzə]美[ˈænəˌlaɪzər]

n. [计] 分析器；分析者；检偏镜

英英释义

单词用法

同义词

反义词

例句

1.The organic analyzer is an amazing tool.

有机分析仪是一种神奇的工具。

2.Thermal Decomposition reaction kinetics of cerium carbonate was investigated with Netzsch thermal analyzer.

利用德国耐驰综合热分析仪对碳酸铈分解过程动力学进行了研究。

3.How can you use nmon to capture data and import it into the analyzer?

如何使用nmon捕获数据并将其导入到分析器？

4.The gases absorbed on the surface of SiC particles are analyzed with the quadripole mass analyzer.

用四极质量分析仪对碳化硅颗粒表面吸收的气体进行了分析，获得了碳化硅颗粒的表面化学成分。

5.Listing 2 contains an example of an analyzer configuration file.

清单2包含分析器配置文件的示例。

6.Figure 5 shows an example of how annotations appear in the document analyzer.

图5中的例子展示注释如何出现在文档分析器中。

7.You can download the nmon analyzer from here.

您可以从这里下载nmon分析程序。

8.Listing 5 shows how you specify the map function for your log analyzer sample.

清单5展示了如何为您的日志分析器样例指定map函数。

9.Download the nmon analyzer.

从这里下载nmon分析程序。

10.The language analyzer can detect grammatical errors in the text.

语言分析器可以检测文本中的语法错误。

11.The data analyzer helps us identify trends in customer behavior.

这个数据分析器帮助我们识别客户行为中的趋势。

12.Using a network analyzer can improve our system's security.

使用网络分析器可以提高我们系统的安全性。

13.The financial analyzer provided insights into our spending patterns.

财务分析器提供了我们消费模式的见解。

14.She developed a new analyzer for processing large datasets.

她开发了一种新的分析器来处理大数据集。

作文

In today's fast-paced world, the ability to analyze data effectively has become increasingly important. One of the most crucial tools in this process is the analyzer, which can be defined as a device or software that examines and interprets data to provide meaningful insights. Whether in business, science, or daily life, the role of an analyzer is pivotal in making informed decisions based on empirical evidence rather than mere intuition.For instance, in the business sector, companies often rely on data analytics to understand consumer behavior. By using an analyzer, they can track purchasing patterns, preferences, and trends over time. This information allows businesses to tailor their marketing strategies, optimize inventory, and improve customer satisfaction. Without an effective analyzer, organizations might miss out on key opportunities or fail to identify potential risks.In the realm of science, researchers utilize various types of analyzers to conduct experiments and gather data. For example, chemists use spectrometers as analyzers to determine the composition of substances. These instruments help scientists understand chemical properties and reactions, leading to advancements in fields such as medicine and environmental studies. The precision and accuracy of an analyzer are essential for obtaining reliable results, which can ultimately influence significant scientific breakthroughs.Moreover, in our everyday lives, we encounter numerous analyzers that help us make better choices. Consider fitness trackers that monitor physical activity and health metrics. These devices serve as personal analyzers, providing insights into our habits and encouraging us to lead healthier lifestyles. By analyzing data related to our exercise routines and dietary choices, we can set realistic goals and track our progress over time.The importance of an analyzer extends beyond just interpreting data; it also involves critical thinking and problem-solving skills. Users must learn how to interpret the outputs generated by an analyzer effectively. This requires a certain level of expertise and understanding of the context in which the data is being analyzed. As technology continues to evolve, the demand for skilled individuals who can operate advanced analyzers will only increase.In conclusion, the analyzer plays a vital role in various aspects of modern life, from business to science and personal health. It serves as a bridge between raw data and actionable insights, allowing individuals and organizations to make informed decisions. As we continue to generate vast amounts of data, the significance of analyzers will only grow, highlighting the need for education and training in data analysis skills. Embracing the capabilities of an analyzer can empower us to navigate the complexities of the information age more effectively.

在当今快节奏的世界中，有效分析数据的能力变得越来越重要。在这个过程中，最关键的工具之一就是分析仪，它可以定义为一种设备或软件，用于检查和解释数据，以提供有意义的见解。无论是在商业、科学还是日常生活中，分析仪的作用在于基于实证证据而不是仅凭直觉做出明智的决策。例如，在商业领域，公司通常依赖数据分析来理解消费者行为。通过使用分析仪，他们可以跟踪购买模式、偏好和趋势。这些信息使企业能够量身定制其营销策略、优化库存并提高客户满意度。如果没有有效的分析仪，组织可能会错过关键机会或未能识别潜在风险。在科学领域，研究人员利用各种类型的分析仪进行实验和收集数据。例如，化学家使用光谱仪作为分析仪来确定物质的成分。这些仪器帮助科学家理解化学性质和反应，推动医学和环境研究等领域的进步。分析仪的精确性和准确性对于获得可靠结果至关重要，这最终可能影响重大的科学突破。此外，在我们的日常生活中，我们遇到许多帮助我们做出更好选择的分析仪。考虑一下监测身体活动和健康指标的健身追踪器。这些设备充当个人分析仪，提供有关我们习惯的见解，并鼓励我们过上更健康的生活方式。通过分析与我们的锻炼习惯和饮食选择相关的数据，我们可以设定现实目标并跟踪我们的进展。分析仪的重要性不仅仅在于解释数据；它还涉及批判性思维和解决问题的能力。用户必须学习如何有效地解释由分析仪生成的输出。这需要一定程度的专业知识和对数据分析背景的理解。随着技术的不断发展，能够操作先进分析仪的熟练人才的需求只会增加。总之，分析仪在现代生活的各个方面发挥着至关重要的作用，从商业到科学再到个人健康。它充当原始数据与可操作见解之间的桥梁，使个人和组织能够做出明智的决策。随着我们继续生成大量数据，分析仪的重要性只会增加，突显出教育和培训数据分析技能的必要性。拥抱分析仪的能力可以使我们更有效地驾驭信息时代的复杂性。