datum point

简明释义

参考点

英英释义

例句

1.To create the model, we first need to establish a reliable datum point.

为了创建模型，我们首先需要建立一个可靠的基准点。

2.When calibrating the instruments, it’s crucial to identify the correct datum point.

在校准仪器时，识别正确的基准点至关重要。

3.The engineer used a specific datum point to ensure all measurements were accurate.

工程师使用了一个特定的基准点来确保所有测量都是准确的。

4.The architect marked the datum point on the blueprint to guide the construction process.

建筑师在蓝图上标记了基准点以指导施工过程。

5.In the mapping software, the datum point serves as the reference for all geographical data.

在地图软件中，基准点作为所有地理数据的参考。

作文

In the realm of data analysis and scientific research, the term datum point refers to a single piece of information or a specific observation that serves as a reference for further analysis. Each datum point is crucial as it contributes to the overall understanding of a phenomenon or trend. For instance, in a study examining the effects of temperature on plant growth, each measurement of temperature and corresponding plant height can be considered a datum point. These individual observations collectively help researchers draw meaningful conclusions about the relationship between temperature and growth patterns.The significance of a datum point cannot be overstated. It acts as the building block of data sets, allowing statisticians and scientists to create models, test hypotheses, and make predictions. When conducting experiments or surveys, researchers meticulously collect datum points to ensure that their findings are robust and reliable. For example, in clinical trials, each patient's response to a treatment can be viewed as a datum point, which is essential for evaluating the efficacy of the drug being tested.Moreover, the aggregation of multiple datum points leads to the formation of trends and patterns. By analyzing these trends, researchers can identify correlations and causations that may not be evident from individual observations alone. This process often involves statistical techniques that help in interpreting the data accurately. For example, if a researcher finds that an increase in datum points related to exercise frequency corresponds with a decrease in body mass index (BMI), they may conclude that regular exercise contributes to weight management.However, it is important to recognize that not all datum points are created equal. The quality of a datum point can significantly impact the outcomes of research. Outliers or erroneous data can skew results, leading to misleading conclusions. Therefore, researchers must implement rigorous data collection methods and validation processes to ensure that each datum point is accurate and reliable.In addition to their role in scientific research, datum points are prevalent in various fields, including economics, marketing, and social sciences. For instance, in market research, consumer feedback can be treated as datum points that inform businesses about customer preferences and behaviors. Analyzing these datum points enables companies to tailor their products and marketing strategies effectively.In conclusion, understanding the concept of a datum point is fundamental for anyone involved in data-driven fields. These individual pieces of information are indispensable for drawing insights, making informed decisions, and advancing knowledge across various disciplines. As we continue to navigate an increasingly data-centric world, the ability to collect, analyze, and interpret datum points will remain a vital skill for researchers, analysts, and decision-makers alike.

在数据分析和科学研究的领域中，术语datum point指的是一条单独的信息或特定的观察结果，它作为进一步分析的参考。每个datum point都是至关重要的，因为它有助于对某一现象或趋势的整体理解。例如，在研究温度对植物生长影响的过程中，每次测量的温度和相应的植物高度都可以视为一个datum point。这些个体观察结果共同帮助研究人员得出有关温度与生长模式之间关系的有意义结论。datum point的重要性不容小觑。它作为数据集的构建块，使统计学家和科学家能够创建模型、检验假设并进行预测。在进行实验或调查时，研究人员仔细收集datum points以确保他们的发现是稳健和可靠的。例如，在临床试验中，每位患者对治疗的反应可以被视为一个datum point，这对于评估所测试药物的有效性至关重要。此外，多个datum points的聚合形成了趋势和模式。通过分析这些趋势，研究人员可以识别出可能在单个观察中不明显的相关性和因果关系。这一过程通常涉及统计技术，有助于准确解释数据。例如，如果研究人员发现与运动频率相关的datum points的增加对应着体重指数（BMI）的下降，他们可能会得出规律：规律的运动有助于体重管理。然而，重要的是要认识到，并非所有的datum points都是平等的。datum point的质量会显著影响研究结果。异常值或错误数据可能会扭曲结果，导致误导性的结论。因此，研究人员必须实施严格的数据收集方法和验证过程，以确保每个datum point的准确性和可靠性。除了在科学研究中的作用外，datum points在经济学、市场营销和社会科学等多个领域也很常见。例如，在市场调研中，消费者反馈可以被视为datum points，这为企业提供了关于客户偏好和行为的信息。分析这些datum points使公司能够有效地定制其产品和营销策略。总之，理解datum point的概念对参与数据驱动领域的任何人来说都是基础。这些个体信息对于提取见解、做出明智决策以及推动各学科知识的进步是不可或缺的。随着我们继续在一个日益数据中心化的世界中航行，收集、分析和解释datum points的能力将仍然是研究人员、分析师和决策者的重要技能。