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相关概念视频

Pie Chart01:04

Pie Chart

13.7K
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...
13.7K
Data Reporting and Recording01:24

Data Reporting and Recording

4.6K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
4.6K
Statgraphics01:10

Statgraphics

106
Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
106
Multiple Bar Graph01:07

Multiple Bar Graph

5.1K
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...
5.1K
Bar Graph01:07

Bar Graph

16.0K
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...
16.0K
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

107
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
107

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Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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从仪表板动物园到人口普查:使用图表公众的案例研究.

Arjun Srinivasan, Joanna Purich, Michael Correll

    IEEE transactions on visualization and computer graphics
    |November 6, 2024
    PubMed
    概括

    本研究介绍了一种基于图形的方法,用于系统地分析仪表板设计,揭示普遍的模式. 这种方法有助于开发更好的创作工具,并利用人工智能 (AI) 和机器学习 (ML) 来进行数据可视化.

    科学领域:

    • 数据可视化 数据可视化
    • 人与计算机的交互
    • 软件工程 软件工程 软件工程

    背景情况:

    • 仪表板对于数据分析和传播至关重要,但缺乏对其设计模式的系统理解.
    • 分析仪表板设计的现有方法在范围和量化方面是有限的.
    • 机器学习 (ML) 启发的方法通常集中在单个可视化或狭窄的设计特征上.

    研究的目的:

    • 开发一种可量化的系统方法来建模仪表板的内容和构成.
    • 提供流行仪表板设计模式的描述性概述.
    • 支持开发先进的仪表板创作工具和AI/ML应用程序.

    主要方法:

    • 开发了一个图形表示来建模仪表板设计,将其分解为内容块 (节点) 和关系 (边缘).
    • 这种图形表示被应用到Tableau Public.25620个仪表板的普查中.
    • 该方法超出了先前的工作范围,通过捕捉内容和构成.

    主要成果:

    • 获得了25620个仪表板的全面普查,详细介绍了核心构建块和普遍的设计模式.
    • 该研究提供了"在野外"仪表板设计的描述性概述.
    • 这些发现突出了常见和不太常见的仪表板设计模式.

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    结论:

    • 拟议的图形表示为系统分析仪表板设计提供了一个强大的方法.
    • 由此产生的普查和方法可以指导开发直观的仪表板创作工具.
    • 这项工作有助于使仪表板更容易访问,并使先进的AI/ML技术用于数据可视化.