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Related Concept Videos

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.
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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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Graphical Representation of Inequalities01:28

Graphical Representation of Inequalities

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The graph of the equation where y equals x squared forms a curve known as a parabola. This curve acts as a boundary in the coordinate plane, dividing it into distinct regions based on the relative position of points.When the equality sign in the equation is replaced with an inequality—such as greater than, less than, greater than or equal to, or less than or equal to—the graphical representation changes from a single curve into a broader shaded area that signifies the set of all...
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Velocity and position can be calculated from the known function of acceleration as a function of time. The total area under the acceleration-time graph and the velocity-time graph gives the change in velocity and position, respectively. In the case of an airplane, its acceleration is tracked using the inertial navigation system. The pilot provides the input of the airplane's initial position and velocity before takeoff. The inertial navigation system then uses the acceleration data to...
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The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
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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.
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VAST 2020 Contest Challenge: GraphMatchMaker-Visual Analytics for Graph Comparison and Matching.

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    This study details a winning visual analytics approach for identifying individuals responsible for an internet outage using network and social network data. Custom tools and analysis methods were developed to solve the IEEE VAST 2020 challenge.

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    Area of Science:

    • Computer Science
    • Data Visualization
    • Network Analysis

    Background:

    • The IEEE VAST 2020 Mini-Challenge 1 required identifying a group causing an internet outage.
    • Participants were provided with network profiles and large multivariate social network data.

    Purpose of the Study:

    • To present the winning methodology and design for the visual analytics graph analysis challenge.
    • To detail the process of identifying a specific group within a complex network.

    Main Methods:

    • Employed statistical and graphical analysis techniques.
    • Developed three custom visual analytics tools tailored for network and social network data exploration.
    • Integrated network profile data with multivariate social network information.

    Main Results:

    • Successfully identified the group responsible for the accidental internet outage.
    • The developed visual analytics tools facilitated the discovery process within the large dataset.

    Conclusions:

    • The combination of statistical analysis, graphical methods, and custom visual analytics tools proved effective for solving the challenge.
    • The approach offers a robust framework for analyzing complex social network data to identify key actors and events.