viewdata

简明释义

英[ˈvjuːdeɪtə;ˈvjuːdɑːtə]美[ˈvjuːdeɪtəˌˈvjuːdætə]

n. 可视数据；显示数据；视讯系统

英英释义

单词用法

同义词

反义词

例句

1.Dynamic View and ViewModel Properties - Views have a new dynamic View property offering simple access to the ViewData object. An example would look like this.

动态视图与ViewModel属性：视图将拥有一个新的动态View属性，可以访问ViewData对象。

2.At present, MPEG2 has become the most prevalent coding technique, which is mainly used for the transmission of speech data and viewdata.

MPEG2是目前应用最广泛的一种编码技术，主要用于语音，图像数据传输。

3.Also, the Controller class has a dynamic property ViewModel offering better access to the ViewData dictionary like in this example based on the previous one.

此外，Controller类也有一个动态属性ViewModel，可以更好地访问ViewData字典，如下代码所示(基于上面的代码)。

4.Also, the Controller class has a dynamic property ViewModel offering better access to the ViewData dictionary like in this example based on the previous one.

此外，Controller类也有一个动态属性ViewModel，可以更好地访问ViewData字典，如下代码所示(基于上面的代码)。

5.The friendly postman will be a thing of the past as the postal service and letters disappear with the electronic mail received via viewdata screens.

友好的邮递员将成为历史，邮政和信件也将被显示屏接收的电子邮件所取代。

6.The report generated includes all relevant viewdata 查看数据 for the last quarter.

生成的报告包含上个季度的所有相关viewdata 查看数据。

7.The software allows users to access viewdata 查看数据 from multiple sources.

该软件允许用户从多个来源访问viewdata 查看数据。

8.To enhance user experience, we integrated real-time viewdata 查看数据 into the application.

为了增强用户体验，我们将实时viewdata 查看数据集成到应用程序中。

9.In our dashboard, you can easily filter the viewdata 查看数据 to find specific information.

在我们的仪表板中，您可以轻松筛选viewdata 查看数据以找到特定信息。

10.We need to update the viewdata 查看数据 settings to improve performance.

我们需要更新viewdata 查看数据设置以提高性能。

作文

In the age of information technology, the term viewdata (视图数据) has become increasingly relevant. It refers to a method of presenting data in a way that is easy to understand and interpret. This technique is especially useful in various fields such as business, education, and research, where clear communication of data is crucial for decision-making and analysis. The concept of viewdata encompasses not only the data itself but also the visual representation of that data, which can take many forms, including charts, graphs, and tables.One of the primary advantages of using viewdata is that it allows individuals to grasp complex information quickly. For instance, in a business setting, a manager may need to analyze sales figures from multiple regions. By utilizing viewdata techniques, such as bar charts or pie charts, the manager can immediately identify trends and patterns that may not be apparent from raw data alone. This visual approach enhances comprehension and facilitates faster decision-making.Moreover, viewdata is not limited to just numerical data; it can also include qualitative information. For example, in educational settings, teachers can use viewdata to present student performance metrics alongside feedback comments. This holistic view enables educators to better understand their students' strengths and weaknesses, allowing for more tailored instruction.The importance of viewdata extends beyond individual comprehension. In research, scientists and scholars often rely on viewdata to share their findings with the broader community. When presenting research results at conferences or in publications, using effective viewdata techniques can significantly impact how the audience perceives and understands the work. A well-designed graph or infographic can convey the significance of the research far more effectively than text-heavy explanations.However, it is essential to recognize that not all viewdata representations are created equal. Poorly designed visuals can lead to misinterpretation and confusion. Therefore, it is vital to apply principles of good design when creating viewdata displays. This includes ensuring clarity, accuracy, and relevance of the visual elements used. For instance, choosing appropriate scales and labels is critical to avoid misleading the audience.In conclusion, the concept of viewdata (视图数据) plays a significant role in our ability to communicate and understand information in today's data-driven world. Its application across various domains highlights the necessity of effective data presentation in facilitating informed decision-making and enhancing understanding. As we continue to generate and consume vast amounts of data, mastering the art of viewdata will be increasingly important for professionals and students alike. By embracing this approach, we can ensure that data serves its purpose as a tool for insight rather than a source of confusion.

在信息技术时代，术语viewdata（视图数据）变得越来越相关。它指的是以易于理解和解释的方式呈现数据的方法。这种技术在商业、教育和研究等多个领域尤其有用，在这些领域中，清晰的数据沟通对于决策和分析至关重要。viewdata的概念不仅包括数据本身，还包括数据的可视化表示，这可以采取多种形式，包括图表、图形和表格。使用viewdata的主要优势之一是，它允许个人快速掌握复杂信息。例如，在商业环境中，经理可能需要分析来自多个地区的销售数字。通过利用viewdata技术，如条形图或饼图，经理可以立即识别出从原始数据中可能不明显的趋势和模式。这种视觉方法增强了理解力，并促进了更快的决策。此外，viewdata不仅限于数值数据；它还可以包括定性信息。例如，在教育环境中，教师可以使用viewdata来展示学生表现指标以及反馈评论。这种整体视图使教育工作者能够更好地理解学生的优势和弱点，从而允许更有针对性的教学。viewdata的重要性超越了个人理解。在研究中，科学家和学者通常依赖viewdata与更广泛的社区分享他们的发现。在会议或出版物上展示研究结果时，使用有效的viewdata技术可以显著影响观众对工作的感知和理解。设计良好的图表或信息图可以比文字繁重的解释更有效地传达研究的重要性。然而，必须认识到，并非所有的viewdata表示都是平等的。设计不当的视觉效果可能导致误解和混淆。因此，在创建viewdata展示时，应用良好设计的原则至关重要。这包括确保所用视觉元素的清晰度、准确性和相关性。例如，选择适当的刻度和标签对于避免误导观众至关重要。总之，viewdata（视图数据）的概念在我们今天数据驱动的世界中发挥着重要作用，帮助我们沟通和理解信息。它在各个领域的应用突显了有效数据呈现的必要性，以促进明智的决策和增强理解。随着我们继续生成和消费大量数据，掌握viewdata的艺术将对专业人士和学生而言变得越来越重要。通过接受这种方法，我们可以确保数据作为洞察的工具，而不是混淆的来源。