visualizations

简明释义

英[ˌvɪʒuəlaɪˈzeɪʃənz]美[ˌvɪʒuəlaɪˈzeɪʃənz]

n. [计]可视化（visualization 的复数形式）；直观化

英英释义

单词用法

同义词

反义词

例句

1.In the second level, Scientologists engage in exercises and visualizations that explore oppositional forces.

在O . T.二阶段，山达基进行演习和直观化来探索对抗之力。

2.But he contends that these visualizations will be increasingly necessary in a world awash in data.

但是他同时也认为，在一个被数据淹没的生物世界中，可视化的必要性将会越来越突出。

3.Now we will explain the different requirements for the visualizations in each mode of operation.

下面我们将阐述每种操作模式下的不同可视化需求。

4.Decision tables provide compact visualizations of orthogonal conditions.

决策表可提供正交条件的精简可视化表示。

5.The Yeti visualizations automatically group together the instances of objects into larger cohesive units.

Yeti可视化显示自动将对象实例组织为更大的内聚单元。

6.As discussed, these visualizations hide details that are not relevant.

如讨论的一样，这些可视化隐藏了不相关的细节。

7.Try variations of this process and the visualizations.

尝试下富有变化的过程和可视化。

8.Data analysts often use visualizations 可视化 to present complex datasets in a more understandable way.

数据分析师通常使用visualizations 可视化 来以更易理解的方式呈现复杂数据集。

9.In marketing, visualizations 可视化 help to track customer behavior and preferences effectively.

在市场营销中，visualizations 可视化 有助于有效跟踪客户行为和偏好。

10.Teachers can enhance learning by using visualizations 可视化 to illustrate difficult concepts.

教师可以通过使用visualizations 可视化 来阐明困难概念，从而增强学习效果。

11.The software provides various visualizations 可视化 options to display data trends over time.

该软件提供多种visualizations 可视化 选项，以显示数据随时间变化的趋势。

12.Scientists rely on visualizations 可视化 to communicate their findings to the public.

科学家依赖于visualizations 可视化 来向公众传达他们的研究结果。

作文

In today's data-driven world, the ability to interpret and present information effectively is crucial. One of the most powerful tools for achieving this is through visualizations（可视化）. Visualizations are graphical representations of data that help to communicate complex information clearly and efficiently. They can take many forms, including charts, graphs, maps, and infographics, each serving a unique purpose in the realm of data analysis and presentation. The importance of visualizations cannot be overstated. In an era where we are inundated with vast amounts of data, it is essential to distill this information into formats that are easily digestible. For instance, a simple bar chart can convey trends over time more effectively than a table filled with numbers. This clarity allows decision-makers to grasp insights at a glance, facilitating quicker and more informed decisions. Moreover, visualizations play a significant role in storytelling. Effective storytelling with data requires not only accurate information but also a compelling narrative. By incorporating visualizations, one can guide the audience through the data, highlighting key points and trends that might otherwise go unnoticed. For example, a well-designed infographic can illustrate the impact of climate change on global temperatures, making the data relatable and engaging for a broader audience. In the field of education, visualizations serve as an invaluable teaching tool. Students often struggle to understand abstract concepts when presented solely in textual form. However, when these concepts are accompanied by visualizations, such as diagrams or interactive models, students can better comprehend and retain the information. For instance, in a science class, a dynamic simulation of the water cycle can enhance students' understanding far more than a textbook description alone. Additionally, visualizations can uncover patterns and correlations that might not be immediately apparent in raw data. Data scientists and analysts frequently use visualizations to identify trends, outliers, and relationships within datasets. For example, a scatter plot can reveal correlations between variables, allowing researchers to make predictions and draw conclusions based on visual patterns rather than mere statistical calculations. However, it is essential to create visualizations thoughtfully. Poorly designed visualizations can mislead rather than inform. It is vital to consider factors such as color choice, scale, and context to ensure that the visualizations accurately represent the data and convey the intended message. For instance, using misleading scales on graphs can exaggerate differences and lead to incorrect interpretations. Thus, the art of creating effective visualizations lies in balancing aesthetics with accuracy. In conclusion, visualizations are an indispensable element of effective communication in our data-centric world. They transform complex data into understandable formats, enhance storytelling, facilitate learning, and reveal hidden insights. As we continue to generate and analyze vast amounts of information, mastering the art of visualizations will be increasingly important for professionals across all fields. Whether in business, education, or research, the ability to create and interpret visualizations will remain a critical skill in conveying information and driving informed decision-making.

在当今数据驱动的世界中，有效地解释和呈现信息的能力至关重要。实现这一目标的最强大工具之一就是通过visualizations（可视化）。Visualizations是数据的图形表示，帮助清晰而有效地传达复杂信息。它们可以采取多种形式，包括图表、图形、地图和信息图，每种形式在数据分析和呈现领域中都发挥着独特的作用。 Visualizations的重要性不容小觑。在一个我们被大量数据淹没的时代，将这些信息提炼成易于消化的格式至关重要。例如，一个简单的条形图可以比充满数字的表格更有效地传达随时间变化的趋势。这种清晰度使决策者能够一目了然地把握见解，从而促进更快、更明智的决策。 此外，visualizations在讲故事方面也发挥着重要作用。用数据进行有效讲述不仅需要准确的信息，还需要引人入胜的叙述。通过结合visualizations，可以引导观众了解数据，突出关键点和趋势，这些要点和趋势可能会被忽视。例如，一个设计良好的信息图可以说明气候变化对全球温度的影响，使数据对更广泛的受众变得相关和吸引人。 在教育领域，visualizations作为一种宝贵的教学工具。学生往往在仅以文本形式呈现的抽象概念中挣扎。然而，当这些概念伴随着visualizations时，例如图表或互动模型，学生可以更好地理解和保留信息。例如，在科学课上，水循环的动态模拟可以增强学生的理解，远胜于教科书的描述。 此外，visualizations可以揭示原始数据中可能并不明显的模式和相关性。数据科学家和分析师经常使用visualizations来识别数据集中的趋势、离群值和变量之间的关系。例如，散点图可以揭示变量之间的相关性，使研究人员能够基于视觉模式而非单纯的统计计算进行预测和得出结论。 然而，创建visualizations时必须谨慎。设计不良的visualizations可能会误导而不是提供信息。考虑颜色选择、比例和上下文等因素至关重要，以确保visualizations准确地代表数据并传达预期的信息。例如，在图表上使用误导性的比例可能会夸大差异，导致错误的解释。因此，创造有效visualizations的艺术在于平衡美学与准确性。 总之，visualizations是我们数据中心世界中有效沟通的不可或缺的元素。它们将复杂数据转化为可理解的格式，增强讲故事的能力，促进学习，并揭示隐藏的见解。随着我们继续生成和分析大量信息，掌握visualizations的艺术对于各个领域的专业人士来说将变得越来越重要。无论是在商业、教育还是研究中，创造和解释visualizations的能力将始终是传达信息和推动明智决策的关键技能。