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Related Concept Videos

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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pV-Diagrams01:18

pV-Diagrams

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The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
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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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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...
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Design Example: Setting a Curve Using Design Data01:09

Design Example: Setting a Curve Using Design Data

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Designing and plotting a curve using field data requires precise calculations and execution. A horizontal curve with a radius of 200 meters and an intersection angle of 20 degrees is established using the method of perpendicular offsets from the long chord. The long chord, which spans between the curve's endpoints, is calculated to be 69.46 meters in length. To maintain accuracy in plotting, intervals of 3 meters are selected along the chord.The engineer determines the offset distances for each...
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Design Example: Designing Water Slide01:18

Design Example: Designing Water Slide

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When designing a water slide, controlling the speed of water flow is crucial for rider safety while maintaining an exciting experience. As water flows down the slide, gravity causes it to accelerate, with its speed at the bottom depending on the height from which it starts. The higher the slide, the more potential energy the water has at the top, which is converted into kinetic energy as it descends, increasing its speed.
Bernoulli's principle determines the water's velocity along the slide....
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Updated: Dec 6, 2025

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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StructGraphics: Flexible Visualization Design through Data-Agnostic and Reusable Graphical Structures.

Theophanis Tsandilas

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    Summary

    StructGraphics allows creating reusable visualization designs by drawing graphics first, then linking data. This approach supports data-agnostic design, enabling easier exploration and reuse of complex visualizations without programming.

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    Area of Science:

    • Information Visualization
    • Human-Computer Interaction
    • Computer Graphics

    Background:

    • Existing visualization authoring systems often require textual programming or assume users have predefined designs.
    • Current systems impose a data-to-graphics workflow, limiting design exploration and reusability.

    Purpose of the Study:

    • Introduce StructGraphics, a novel approach for creating data-agnostic and reusable visualization designs.
    • Enable designers to construct visualizations by drawing graphics and structuring visual properties independent of specific datasets.

    Main Methods:

    • Develop a graphics-first authoring system where data structures are derived from graphical structures.
    • Implement a spreadsheet interface for linking derived data structures with actual datasets.
    • Incorporate graphical property sharing, by-example design specification, and persistent layout constraints.

    Main Results:

    • Demonstrate the creation of data-agnostic and reusable visualization designs.
    • Showcase a gallery of complex visualization examples created using the StructGraphics approach.
    • Provide insights into the strengths and limitations through interaction with experts.

    Conclusions:

    • StructGraphics offers a powerful alternative to traditional data-to-graphics workflows in visualization authoring.
    • The approach facilitates design exploration and promotes the reuse of complex visualization designs.
    • Further research can explore its application in diverse design contexts and with varied user expertise.