Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Pareto Chart00:52

Pareto Chart

6.7K
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...
6.7K
Interpreting R Charts01:22

Interpreting R Charts

68
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
68
Run Charts01:12

Run Charts

63
Run charts serve as an essential instrument for visualizing the performance of various processes over time, enabling the identification of trends and patterns crucial for quality improvement. These charts map out a series of data points chronologically, offering insights into the stability and efficiency of a process. A run chart's creation involves plotting data points on a graph, with the time intervals on the horizontal axis and the specific measurements on the vertical axis. For...
63
Interpreting X̄ Charts01:13

Interpreting X̄ Charts

70
Interpreting x̄ charts, a type of control chart used in statistical process control helps monitor the variation in processes over time. The x̄ chart is based on the sample mean and allows for monitoring variations in the process mean over time. These charts are pivotal for quality assurance in manufacturing and other sectors.
An x̄ chart plots the values of individual measurements over time against control limits calculated from historical data. The central line...
70
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
Interpreting Run Charts01:25

Interpreting Run Charts

105
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...
105

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Asymmetric metal-nitrogen-carbon catalysts: asymmetric structures and electrocatalytic superiority.

Chemical communications (Cambridge, England)·2026
Same author

Hypoxia-inducible factor-1α promotes epithelial-to-mesenchymal transition through upregulating cathepsin S expression in diabetic kidney disease.

Renal failure·2026
Same author

A regret-based three-way decision with novel intuitionistic fuzzy similarity in an intuitionistic fuzzy information system.

Scientific reports·2026
Same author

Correction: The additive effect of IgE-mediated and pseudoallergic hypersensitivity in RBL-2H3 cells and guinea pigs.

PloS one·2026
Same author

Comparing the urban heat island intensity response to ENSO across the local climate zones in Suzhou and Shanghai, China.

Science progress·2026
Same author

RCInvestigator: Towards Better Investigation of Anomaly Root Causes in Cloud Computing Systems.

IEEE transactions on visualization and computer graphics·2026

相关实验视频

Updated: Jul 12, 2025

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.5K

NL2Color:对自然语言图表的颜色调色板进行完善.

Chuhan Shi, Weiwei Cui, Chengzhong Liu

    IEEE transactions on visualization and computer graphics
    |October 23, 2023
    PubMed
    概括

    新手用户现在可以使用自然语言轻松创建有效的图表色调板. 由大型语言模型 (LLM) 驱动的NL2Color工具以最小的用户精力完善图表美学.

    科学领域:

    • 数据可视化 数据可视化
    • 人与计算机的交互
    • 计算设计的计算设计.

    背景情况:

    • 有效的图表色调板对于数据可视化至关重要,但对于初学者设计师来说具有挑战性.
    • 用户经常难以将设计意图转化为图表颜色的可操作的编辑步骤.

    研究的目的:

    • 介绍NL2Color,这是一种新的工具,使初学者能够使用自然语言来改进图表的色调板.
    • 为了简化实现所需图表美学的过程,对于没有设计专业知识的用户来说.

    主要方法:

    • 收集并对131个图表颜色调色板示例的数据集进行了分类,并提供了相应的编辑意图和专家设计的修订.
    • 使用一个大语言模型 (LLM) 带有几次拍摄提示,以基于自然语言输入生成新的色调板.
    • 进行了两阶段的评估,包括众包研究 (N=71) 和用户研究 (N=12).

    主要成果:

    • NL2与人类专家创建的颜色调色板相比,颜色调色板在质量上没有显著差异.
    • 用户对修订后的调色板表示满意,用更少的时间和精力实现了所需的结果.
    • 该工具有效地将自然语言描述转化为功能图的颜色调整.

    结论:

    更多相关视频

    Visualizing Visual Adaptation
    04:43

    Visualizing Visual Adaptation

    Published on: April 24, 2017

    9.0K
    Training Synesthetic Letter-color Associations by Reading in Color
    10:27

    Training Synesthetic Letter-color Associations by Reading in Color

    Published on: February 20, 2014

    22.9K

    相关实验视频

    Last Updated: Jul 12, 2025

    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
    07:05

    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

    Published on: June 18, 2021

    2.5K
    Visualizing Visual Adaptation
    04:43

    Visualizing Visual Adaptation

    Published on: April 24, 2017

    9.0K
    Training Synesthetic Letter-color Associations by Reading in Color
    10:27

    Training Synesthetic Letter-color Associations by Reading in Color

    Published on: February 20, 2014

    22.9K
    • NL2Color使初学者能够通过直观的自然语言交互来创建高质量的图表色调板.
    • 该工具展示了LLM在数据可视化中弥合用户意图和设计执行之间的差距方面的潜力.
    • NL2Color为改善图表设计的可访问性和效率提供了一个有希望的解决方案.