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相关概念视频

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...
4.4K
Pie Chart01:04

Pie Chart

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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...
14.2K
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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Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

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Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
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Pareto Chart00:52

Pareto Chart

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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...
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相关实验视频

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Using Generative Art to Convey Past and Future Climate Transitions
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让图表发出火花:用文本到图像生成模型将语义上下文嵌入图表中.

Shishi Xiao, Suizi Huang, Yue Lin

    IEEE transactions on visualization and computer graphics
    |October 25, 2023
    PubMed
    概括

    ChartSpark使用文本到图像模型生成图形可视化,增强数据表示. 这种新的系统集成了语义上下文和数据,为可视化设计提供了灵活的方法.

    科学领域:

    • 计算机科学 计算机科学
    • 数据可视化 数据可视化
    • 人工智能的人工智能

    背景情况:

    • 图形可视化将数据与语义上下文集成在一起,以吸引信息显示.
    • 现有的创作工具通常依赖于检索视觉元素,可能会损害数据完整性.
    • 目前的文本引导方法由于预定义的实体而存在局限性.

    研究的目的:

    • 提出 ChartSpark,这是一个新的系统,用于使用文本到图像生成模型将语义上下文嵌入到图表中.
    • 根据文本语义上下文和图表数据生成图形可视化.
    • 开发一个交互式界面,用于用户友好的生成,修改和评估可视化.

    主要方法:

    • 使用文本到图像生成模型创建图像可视化.
    • 从文本输入和来自平面图表的数据的语义上下文的条件生成.
    • 将文本分析器,编辑模块和评估模块集成到一个交互式视觉界面中.

    主要成果:

    • ChartSpark通过嵌入语义上下文到图表中来生成图形可视化.
    • 该系统支持前景和背景图像生成,与设计实践保持一致.
    • 实验评估表明了ChartSpark工具的可用性.

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    结论:

    • 文本到图像生成模型与交互式接口相结合,为可视化设计提供了巨大的潜力.
    • ChartSpark提供了一种灵活且保护数据完整性的方法,用于创建图形可视化.
    • 开发的交互式系统增强了数据可视化的创建和评估.