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相关概念视频

Bar Graph01:07

Bar Graph

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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...
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Multiple Bar Graph01:07

Multiple Bar Graph

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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...
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Ogive Graph01:07

Ogive Graph

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An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
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Time-Series Graph00:54

Time-Series Graph

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A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
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High Resolution Quantitative Synaptic Proteome Profiling of Mouse Brain Regions After Auditory Discrimination Learning
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粘贴链接:编码图边的定量数据.

Min Lu, Xiangfang Zeng, Joel Lanir

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    此摘要是机器生成的。

    粘性链接是一种新的图形可视化技术,它使用尖的形状来编码连接强度. 这种方法对于定量信息来说,比传统的线条厚度更有效,更美观,更简单.

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    相关实验视频

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    科学领域:

    • 计算机科学 计算机科学
    • 信息可视化 信息可视化

    背景情况:

    • 在图形链接中编码定量信息对于理解复杂网络至关重要.
    • 像线条厚度这样的传统方法会导致视觉混乱和编码效率低下.

    研究的目的:

    • 介绍和评估粘贴链接,一种用于图形可视化中的定量信息的新型视觉编码.
    • 为了比较粘贴链接的有效性和审美吸引力与传统的厚度编码.

    主要方法:

    • 开发了粘贴链接的视觉编码,使用尖的形状来表示连接强度.
    • 进行了受控的用户研究,以比较粘贴链接与厚度编码的效率和美学.

    主要成果:

    • 粘贴链接展示了更有效和表达性的连接强度的定量编码.
    • 参与者认为粘贴链接比厚度编码更美观,视觉不那么杂乱.
    • 新方法保持了节点连接的感知.

    结论:

    • 粘贴链接为图形中的定量信息提供了传统厚度编码的有希望的替代方案.
    • 新的视觉编码增强了图形可视化的效率和美学吸引力.