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Related Concept Videos

Bar Graph01:07

Bar Graph

20.6K
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...
20.6K
Vision01:24

Vision

58.2K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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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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Multiple Bar Graph01:07

Multiple Bar Graph

8.6K
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...
8.6K
Visual System01:26

Visual System

1.4K
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
1.4K
Pie Chart01:04

Pie Chart

15.2K
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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The Next Billion Users of Visualization.

Amit Jena, Matthew Butler, Tim Dwyer

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    Summary
    This summary is machine-generated.

    Visualization research must expand beyond developed nations to include emerging global users. This ensures equitable access to data and technology for improving quality of life worldwide.

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    Area of Science:

    • Information Visualization
    • Human-Computer Interaction
    • Global Technology Adoption

    Background:

    • Current visualization research predominantly targets users in economically developed regions.
    • Billions of new information technology users are emerging globally, particularly in populous, historically overlooked regions.
    • These new users may have distinct needs and significant potential to benefit from visualization technologies.

    Purpose of the Study:

    • To highlight the need for a more inclusive approach in visualization research.
    • To advocate for the expansion of visualization technologies to underserved global populations.
    • To address the potential of visualization to improve quality of life in emerging economies.

    Main Methods:

    • Literature review and analysis of current visualization research demographics.
    • Identification of key challenges and opportunities for global user engagement.
    • Proposal of actionable strategies for the visualization community.

    Main Results:

    • Visualization research has historically underserved the majority of the world's population.
    • Emerging users represent a significant demographic with unique needs and high potential gains from visualization.
    • Current research practices may not adequately prepare for or address the needs of this growing user base.

    Conclusions:

    • The visualization community must actively broaden its scope to include diverse global users.
    • Developing universal design principles and inclusive evaluation methods is crucial.
    • Engaging with a wider global population will enhance the impact and accessibility of visualization technologies.