graphing

简明释义

英[ˈɡræf.ɪŋ]美[ˈɡræf.ɪŋ]

n. 绘制图形

v. 绘图（graph 的 ing 形式）

英英释义

单词用法

同义词

反义词

例句

1.Spreadsheet technology can only take you so far for real time graphing.

电子表格技术只能用于显示实时数据。

2.You can use it to construct x-y graphs, contour plots, and image graphs with fine control over graphing attributes.

可以使用它来构造x-y图、轮廓图以及可以通过图形属性进行精细控制的图像。

3.They did a great deal of network mapping, graphing the posts and responses, and seeing the structures that emerge.

他们做了大量的网络绘图，用图来表征这些帖子和回复响应，并寻找其中出现的行为结构。

4.The first is Adobe Flex, an XML markup-based language that renders into Flash and includes a graphing library.

第一个是AdobeFlex，这种基于XML标记的语言可以呈现为Flash，并且包含图形库。

5.She was at a loss over mechanical graphing, calculus, and other courses.

面对机械制图、微积分以及其他一些课程，她完全不知所措。

6.Graphing starts with the data.

绘图从数据开始。

7.I am not a graphing expert and have not created an all-inclusive package.

我不是一个图形专家，没有建立一个包容各方的包。

8.Cacti is a network graphing tool built around RRDTool.

Cacti是一个围绕RRDTool构建的网络绘图工具。

9.RRDtool is an open source, high performance data logging and graphing system for time series data.

RRDtool是一个开放源码的高性能数据日志记录和绘图系统，用于处理时间系列数据。

10.The teacher introduced the concept of graphing 绘图 to help students visualize mathematical functions.

老师介绍了绘图 绘图的概念，以帮助学生可视化数学函数。

11.In science class, we spent the afternoon graphing 绘图 the results of our experiments.

在科学课上，我们花了整个下午绘图 绘图我们的实验结果。

12.Using software, the engineer is graphing 绘图 the data to identify trends in the project.

工程师正在使用软件绘图 绘图数据，以识别项目中的趋势。

13.The students learned how to create a line graphing 绘图 to represent their survey results.

学生们学习如何创建一个线性绘图 绘图来表示他们的调查结果。

14.My favorite part of math is graphing 绘图 equations on a coordinate plane.

我最喜欢数学的一部分是绘图 绘图坐标平面上的方程。

作文

In the realm of mathematics and data analysis, graphing is an essential skill that allows individuals to visually represent numerical information. Graphing involves plotting points on a coordinate system, connecting them to form lines or curves, and interpreting the resulting visual display. This practice not only helps in understanding complex equations but also aids in identifying trends and patterns within data sets. For instance, when studying the relationship between two variables, such as time and distance, graphing provides a clear visual representation that can reveal insights that might be missed through mere numerical analysis. One of the primary benefits of graphing is its ability to simplify information. In many cases, raw data can be overwhelming, especially when dealing with large volumes of numbers. By converting this data into graphs, such as line graphs, bar charts, or scatter plots, we can distill complex information into more digestible forms. For example, a teacher may use graphing to illustrate students' test scores over a semester, making it easier to identify which students are improving and which may need additional support. Moreover, graphing plays a crucial role in various fields beyond mathematics. In science, for example, researchers often rely on graphing to present experimental results. A well-constructed graph can effectively communicate findings to an audience, allowing for a better understanding of the research's implications. Similarly, in business, graphing is used to track sales performance, market trends, and financial forecasts. By visualizing this information, companies can make informed decisions based on data-driven insights. Learning how to graph effectively requires practice and familiarity with different types of graphs. Each type serves a unique purpose; for instance, pie charts are great for showing proportions, while histograms are ideal for displaying frequency distributions. Understanding when to use each type of graph is key to effective communication. Additionally, digital tools and software have made graphing more accessible than ever. Programs like Microsoft Excel or Google Sheets allow users to create professional-looking graphs with ease, further enhancing the ability to analyze and present data. In conclusion, graphing is a vital skill that transcends mathematical boundaries. It empowers individuals to visualize data, making complex information more comprehensible. Whether in education, science, or business, the ability to graph effectively can lead to better decision-making and a deeper understanding of the world around us. As we continue to generate vast amounts of data in our increasingly digital world, mastering the art of graphing will become even more important for effective communication and analysis. Therefore, investing time in developing graphing skills is undoubtedly worthwhile for anyone looking to enhance their analytical capabilities and improve their overall understanding of data.

在数学和数据分析领域，图形化是一项基本技能，使个人能够直观地表示数据信息。图形化涉及在坐标系上绘制点，将其连接形成线条或曲线，并解释所得到的视觉展示。这一实践不仅有助于理解复杂的方程，还能帮助识别数据集中的趋势和模式。例如，在研究两个变量之间的关系时，例如时间和距离，图形化提供了清晰的视觉表示，可以揭示通过单纯的数字分析可能被忽视的见解。 图形化的主要好处之一是其简化信息的能力。在许多情况下，原始数据可能令人不知所措，尤其是在处理大量数字时。通过将这些数据转换为图表，例如折线图、条形图或散点图，我们可以将复杂的信息提炼成更易于消化的形式。例如，教师可以使用图形化来说明学生在一个学期内的考试成绩，从而更容易识别哪些学生在进步，哪些可能需要额外支持。 此外，图形化在数学以外的多个领域中也发挥着至关重要的作用。在科学中，研究人员通常依赖图形化来呈现实验结果。一个构造良好的图表可以有效地传达研究结果，让观众更好地理解研究的含义。同样，在商业中，图形化用于跟踪销售业绩、市场趋势和财务预测。通过可视化这些信息，公司可以基于数据驱动的见解做出明智的决策。 学习如何有效地图形化需要练习和熟悉不同类型的图表。每种类型都有其独特的用途；例如，饼图非常适合显示比例，而直方图则理想用于显示频率分布。了解何时使用每种类型的图表是有效沟通的关键。此外，数字工具和软件使得图形化变得比以往任何时候都更加容易。像Microsoft Excel或Google Sheets这样的程序使用户能够轻松创建专业外观的图表，进一步增强了分析和呈现数据的能力。 总之，图形化是一项超越数学界限的重要技能。它使个人能够可视化数据，使复杂的信息更易于理解。无论是在教育、科学还是商业中，有效地图形化的能力都可以导致更好的决策和对我们周围世界的更深刻理解。随着我们在日益数字化的世界中继续生成大量数据，掌握图形化的艺术对于有效沟通和分析将变得更加重要。因此，投入时间发展图形化技能无疑是值得的，尤其是对于那些希望增强分析能力并提高对数据整体理解的人来说。