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相关概念视频

pV-Diagrams01:18

pV-Diagrams

4.2K
The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
4.2K
Design Example: Designing Water Slide01:18

Design Example: Designing Water Slide

201
When designing a water slide, controlling the speed of water flow is crucial for rider safety while maintaining an exciting experience. As water flows down the slide, gravity causes it to accelerate, with its speed at the bottom depending on the height from which it starts. The higher the slide, the more potential energy the water has at the top, which is converted into kinetic energy as it descends, increasing its speed.
Bernoulli's principle determines the water's velocity along the...
201
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

52
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
52
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

207
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
207
Survival Tree01:19

Survival Tree

88
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
88
Methods of Documentation IV: Focus Charting01:26

Methods of Documentation IV: Focus Charting

1.0K
Focus Charting, also known as the focus charting system or "focus documentation," is a systematic documentation approach used in healthcare to organize patient information in medical records.
It typically involves three columns for recording information:
1.0K

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相关实验视频

Updated: Jul 12, 2025

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

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为什么要改变我的设计:用可探索的解释解释糟糕的可视化设计.

Leo Yu-Ho Lo, Yifan Cao, Leni Yang

    IEEE transactions on visualization and computer graphics
    |October 27, 2023
    PubMed
    概括

    了解数据可视化最佳实践可以改善图表解释. 参与者学会识别欺骗性图表并接受设计变化,尽管解释方法在说服力上没有显著差异.

    科学领域:

    • 数据可视化 数据可视化
    • 人与计算机的交互
    • 信息设计信息设计

    背景情况:

    • 有效的数据可视化对于准确的数据表示至关重要,但许多人缺乏最佳实践的知识.
    • 误导性图表可以欺骗观众,需要教育方法来促进诚实的视觉沟通.
    • 现有的资源经常使用修辞手段来解释数据可视化原则.

    研究的目的:

    • 识别和评估用于教学数据可视化最佳实践的常见解释方法.
    • 评估这些方法在改善图表设计和说服力方面的有效性.
    • 引入和测试可探索解释对用户理解和设计接受的影响.

    主要方法:

    • 分析现有文献和设计研讨会,以确定六种常见的解释方法.
    • 两项众包研究 (每项N=125) 评估了这些方法的教学和说服力.
    • 引入可探索的解释,允许交互式图表操作.

    主要成果:

    • 在接受解释后,参与者表现出更好的识别欺骗性图表的能力.
    • 观察到接受拟议的可视化设计更改的意愿显著 (超过60%).
    • 在说服力方面,在各种解释方法之间没有发现统计学上显著的差异.

    更多相关视频

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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    相关实验视频

    Last Updated: Jul 12, 2025

    Interactive and Visualized Online Experimentation System for Engineering Education and Research
    08:35

    Interactive and Visualized Online Experimentation System for Engineering Education and Research

    Published on: November 24, 2021

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    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
    10:58

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

    Published on: January 2, 2011

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    Visualizing Visual Adaptation
    04:43

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    结论:

    • 教育干预可以提高用户在检测误导性数据可视化方面的技能.
    • 学习者很容易接受设计的改变,以提高图表的诚实性和清晰度.
    • 可能需要进一步的研究来优化解释方法,以便在数据可视化教育中产生最大的说服力.