plotting table

简明释义

标绘板

英英释义

例句

1.The engineer used the plotting table to create detailed graphs for the project.

工程师使用绘图桌为项目创建详细的图表。

2.The scientist plotted the results of the experiment on a plotting table for analysis.

科学家将实验结果绘制在绘图桌上以进行分析。

3.During the meeting, we reviewed the data on the plotting table to make informed decisions.

在会议中，我们查看了绘图桌上的数据以做出明智的决策。

4.In the classroom, the teacher set up a plotting table for students to visualize their math problems.

在教室里，老师为学生设置了一个绘图桌以可视化他们的数学问题。

5.The architect designed the building layout on a large plotting table.

建筑师在一个大型绘图桌上设计建筑布局。

作文

In the realm of data visualization and analysis, the term plotting table is often used to refer to a structured format that organizes data points for graphical representation. A plotting table is not merely a collection of numbers; it serves as a crucial tool for researchers, scientists, and analysts who seek to interpret complex datasets in a more comprehensible manner. The significance of a plotting table lies in its ability to transform raw data into visual insights, enabling one to identify trends, patterns, and correlations that may not be immediately apparent from the data alone.To better understand the concept of a plotting table, let’s consider an example from a scientific study. Imagine a researcher conducting an experiment to analyze the effect of different fertilizers on plant growth. The researcher collects data on various plants, measuring their height over time under different conditions. This data can be organized into a plotting table, where one column lists the types of fertilizers used, another column records the corresponding plant heights, and additional columns capture other relevant variables such as temperature and sunlight exposure.With this structured plotting table, the researcher can easily visualize the relationship between fertilizer type and plant growth. By plotting these data points on a graph, they can create a scatter plot or line graph that illustrates how each fertilizer impacts growth over time. This visual representation enhances understanding and allows for easier comparison between the effects of different fertilizers.Moreover, a plotting table is not limited to scientific research; it is widely utilized in various fields, including economics, engineering, and social sciences. For instance, economists might use a plotting table to analyze unemployment rates across different regions, while engineers might employ it to track the performance of materials under varying stress conditions. In each case, the plotting table acts as a foundational element that supports further analysis and interpretation.The creation of a plotting table typically involves several steps. First, data must be collected systematically, ensuring accuracy and reliability. Next, the data is organized into a clear and concise format, with appropriate headings for each column. Once the plotting table is established, it can serve as a reference point for creating graphs and charts, which are essential for presenting findings in a compelling way.In conclusion, the concept of a plotting table is integral to effective data analysis and visualization. By structuring data in a systematic manner, a plotting table enables researchers and analysts to uncover insights that drive decision-making and inform future studies. Whether in a laboratory setting or a corporate environment, mastering the use of a plotting table can significantly enhance one’s ability to communicate complex information clearly and effectively. Therefore, understanding and utilizing a plotting table is a skill that is invaluable across various disciplines.

在数据可视化和分析领域，术语plotting table通常用于指代一种结构化格式，用于组织数据点以进行图形表示。plotting table不仅仅是一组数字；它是研究人员、科学家和分析师的关键工具，帮助他们以更易理解的方式解释复杂的数据集。plotting table的重要性在于它能够将原始数据转化为可视化的洞见，使人们能够识别趋势、模式和相关性，这些在数据中可能并不立即显现。为了更好地理解plotting table的概念，让我们考虑一个科学研究的例子。假设一位研究人员正在进行实验，以分析不同肥料对植物生长的影响。研究人员收集了各种植物的数据，记录了在不同条件下植物的高度变化。这些数据可以整理成一个plotting table，其中一列列出所使用的肥料类型，另一列记录相应的植物高度，其他列捕捉温度和阳光暴露等相关变量。通过这个结构化的plotting table，研究人员可以轻松地将肥料类型与植物生长之间的关系可视化。通过在图表上绘制这些数据点，他们可以创建散点图或折线图，展示每种肥料如何影响植物的生长。这种可视化表示增强了理解，并使不同肥料效果的比较变得更加容易。此外，plotting table并不限于科学研究；它广泛应用于经济学、工程学和社会科学等各个领域。例如，经济学家可能会使用plotting table来分析不同地区的失业率，而工程师可能会利用它追踪材料在不同应力条件下的性能。在每一种情况下，plotting table都作为支持进一步分析和解释的基础元素。创建plotting table通常涉及几个步骤。首先，必须系统地收集数据，以确保准确性和可靠性。接下来，将数据组织成清晰简洁的格式，为每一列提供适当的标题。一旦建立了plotting table，它可以作为创建图表和图形的参考点，这对于以引人注目的方式呈现研究结果至关重要。总之，plotting table的概念对于有效的数据分析和可视化至关重要。通过以系统的方式构建数据，plotting table使研究人员和分析师能够发现推动决策和指导未来研究的洞见。无论是在实验室环境还是企业环境中，掌握plotting table的使用可以显著增强个人清晰有效地传达复杂信息的能力。因此，理解和利用plotting table是一项在各个学科中都具有重要价值的技能。