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相关概念视频

Scatter Plot01:15

Scatter Plot

7.0K
The most common and easiest way to display the relationship between two variables, x and y, is a scatter plot. A scatter plot shows the direction of a relationship between the variables. A clear direction happens when there is either:
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Modified Boxplots00:57

Modified Boxplots

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A standard box and whisker plot informs us about the spread of the data in a given sample. One can identify the minimum value, maximum value, first quartile value, second quartile or median value, and third quartile.
However, the box plot does not tell the reader about outliers - values that lie far from the center of the data. We can modify the standard box and whisker plot to identify the outliers and visualize the actual spread of the data in a sample.
Initially, we calculate the adjusted...
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Residual Plots01:07

Residual Plots

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A residual plot is a statistical representation of data used to analyze correlation and regression results. It helps verify the requirements for drawing specific conclusions about correlation and regression. To obtain the residual plot, first, the residual for each data value is calculated, which is simply the vertical distance between the observed and the predicted value obtained from the regression equation.
When the residual values are plotted against the variable x, it is called a residual...
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Plotting of Topographic Maps01:29

Plotting of Topographic Maps

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Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
61
Relative Frequency Histogram01:14

Relative Frequency Histogram

5.5K
The relative frequency depicts the proportion of data points that have each value. The frequency tells the number of data points that have each value. Like the histogram, a relative frequency histogram also has the same shape with a horizontal scale (the x-axis), but the vertical scale (the y-axis) is marked with relative frequencies (percentages of the whole) instead of actual frequencies. A relative frequency histogram is a graphical representation of a frequency distribution where the...
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Boxplot01:12

Boxplot

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Box plots (also called box-and-whisker plots or box-whisker plots) give an excellent graphical image of the concentration of the data. They also show how far the extreme values are from most data. A box plot is constructed from five values: the minimum value, the first quartile, the median, the third quartile, and the maximum value. We use these values to compare how close other data values are to them. To construct a box plot, use a horizontal or vertical number line and a rectangular box. The...
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相关实验视频

Updated: Jul 17, 2025

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
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ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

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一种基于网格的方法来消除尺寸缩减分散图布局的重叠.

Gladys M Hilasaca, Wilson E Marcilio-Jr, Danilo M Eler

    IEEE transactions on visualization and computer graphics
    |August 30, 2023
    PubMed
    概括
    此摘要是机器生成的。

    减小维度 (DR) 散点图通常具有重叠的数据点. 我们新的距离网格 (DGrid) 方法有效地消除了这些重叠,同时保留了原始数据布局和图形可读性.

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    相关实验视频

    Last Updated: Jul 17, 2025

    ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
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    Quantification of Orofacial Phenotypes in Xenopus
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    科学领域:

    • 数据可视化 数据可视化
    • 信息可视化 信息可视化
    • 计算机图形 计算机图形

    背景情况:

    • 减小维度 (DR) 分散图被广泛用于多维数据分析.
    • 在DR散射图中,特别是信息符号中,隐藏阻碍了数据的解释.
    • 现有的重叠删除方法通常会损害布局完整性或图形可见性.

    研究的目的:

    • 引入距离网格 (DGrid),这是一个新的后处理策略,用于在DR散射图中删除重叠.
    • 为了解决当前方法的局限性,这些方法会扭曲布局或减少图形大小.
    • 为了保持原始的散射图特征,并确保字符的可读性.

    主要方法:

    • 开发了距离网格 (DGrid) 作为DR分散图布局的后处理技术.
    • 实现了DGrid以消除字符重叠,同时保持布局保真.
    • 进行了广泛的比较评估和用户研究以评估性能.

    主要成果:

    • 在消除跨多个指标的重叠方面,DGrid显著超过了最先进的方法.
    • 电网总局表现出卓越的速度,特别是在大型数据集方面.
    • 用户研究证实了DGrid在维护视觉特征和美学方面的有效性.

    结论:

    • DGrid提供了一种有效和高效的解决方案,用于在DR分散图中删除重叠.
    • 该方法成功地平衡了消除重叠的方法,同时保持了数据结构和视觉质量.
    • 在高维数据的可视化方面,DGrid代表了显著的进步.