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相关概念视频

Bar Graph01:07

Bar Graph

21.3K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
21.3K
Multiple Bar Graph01:07

Multiple Bar Graph

8.9K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
8.9K
Pareto Chart00:52

Pareto Chart

7.6K
A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
7.6K
Pie Chart01:04

Pie Chart

15.8K
A pie chart (or a pie graph) is a circular graphical chart or a pictorial representation of categorical data. It is divided into slices of pie each indicating numerical proportions. It is also used to show the relative sizes of data in a single chart.
In a pie chart, the central angle, the arc length of each slice, and the area are directly proportional to the quantity or percentage it represents. Some real-world examples that can be depicted using pie charts include marks obtained by students...
15.8K
Histogram01:05

Histogram

16.9K
The histogram is a graphical representation in the x-y form of data distribution in a data set. The horizontal x-axis is labeled with what the data represents (for instance, distance from your home to school). The vertical y-axis is labeled either frequency or relative frequency (or percent frequency or probability).
A histogram graph consists of contiguous (adjoining) boxes. The heights of the bars correspond to frequency values. The graph will have the same shape with respective labels. The...
16.9K
Interpreting Run Charts01:25

Interpreting Run Charts

3.0K
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
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相关实验视频

Updated: Jan 9, 2026

Electroencephalographic, Heart Rate, and Galvanic Skin Response Assessment for an Advertising Perception Study: Application to Antismoking Public Service Announcements
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Electroencephalographic, Heart Rate, and Galvanic Skin Response Assessment for an Advertising Perception Study: Application to Antismoking Public Service Announcements

Published on: August 28, 2017

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图像数组与条形图的图形感知用于健康风险沟通中的价值比较.

Jade Kandel, Jiayi Liu, Arran Zeyu Wang

    IEEE transactions on visualization and computer graphics
    |December 4, 2025
    PubMed
    概括
    此摘要是机器生成的。

    图标数组和与并置的明确编码通过增强数据解释和决策来改善健康风险沟通. 为准确的风险感知,将可视化定制为受众的识字能力至关重要.

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    相关实验视频

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    Electroencephalographic, Heart Rate, and Galvanic Skin Response Assessment for an Advertising Perception Study: Application to Antismoking Public Service Announcements
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    科学领域:

    • 卫生沟通健康沟通
    • 数据可视化 数据可视化
    • 人与计算机的交互

    背景情况:

    • 视觉化对于健康风险沟通至关重要,有助于高风险个人和护理人员的决策.
    • 不同的可视化类型,如条形图和图标数组,可以引入影响数据解释的偏差.
    • 了解视觉设计如何影响风险感知对于有效的沟通至关重要.

    研究的目的:

    • 调查条形图,图标数组及其布局对价值比较感知的影响.
    • 评估这些可视化如何影响健康风险环境中的决策.
    • 为优化健康风险沟通可视化提供设计建议.

    主要方法:

    • 进行了一系列比较条形图和图标数组与不同布局策略 (并置,明确编码,明确编码加并置) 的研究.
    • 评估参与者对价值比较的看法以及随后的决策.
    • 分析了不同识字水平的结果.

    主要成果:

    • 图标阵列与明确编码和并置相结合,优化了准确的差异估计,减少了感知偏差.
    • 观察到估计准确性和决策结果之间存在差异.
    • 在低识字和高识字群体之间,人们在感知和决策方面发现了差异.

    结论:

    • 图标阵列和特定的布局策略为改善健康风险沟通提供了潜力.
    • 视觉化应该超越仅仅是感知准确性的评估,考虑决策和受众的识字能力.
    • 为特定受众量身定制可视化方法对于明智的健康决策至关重要.