Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Ogive Graph01:07

Ogive Graph

6.8K
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...
6.8K
Graphing Antiderivatives01:30

Graphing Antiderivatives

66
The concept of an antiderivative is fundamental in calculus, describing how a function's values accumulate over time. This process is closely related to physical motion, such as the movement of a rolling ball. As the ball progresses, its position changes in response to variations in velocity, just as an antiderivative graph reflects the cumulative effect of the original function's values.Graphing an antiderivative requires interpreting how a function's values influence the shape of its...
66
Bar Graph01:07

Bar Graph

22.0K
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...
22.0K
Graphs of Functions01:30

Graphs of Functions

321
Graphs of functions provide a visual representation of how output values change in response to varying inputs. Each point on the graph corresponds to an ordered pair, where the x-coordinate (independent variable) determines the horizontal position and the y-coordinate (dependent variable) determines the vertical position. Linear functions like y = x give a straight line, indicating a constant rate of change.Nonlinear functions display more complex behaviors. Even power functions generate...
321
Time-Series Graph00:54

Time-Series Graph

5.1K
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...
5.1K
Multiple Bar Graph01:07

Multiple Bar Graph

9.2K
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...
9.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Hybrid User Interfaces: Past, Present, and Future of Complementary Cross-Device Interaction in Mixed Reality.

IEEE transactions on visualization and computer graphics·2026
Same author

Lysosomal Expansion Compartments Mediate Zinc and Copper Homeostasis in <i>Caenorhabditis elegans</i>.

bioRxiv : the preprint server for biology·2026
Same author

Situated Brushing and Linking in Virtual and Augmented Reality.

IEEE transactions on visualization and computer graphics·2026
Same author

The influence of motor and non-motor characteristics of Parkinson's disease on motor imagery vividness.

Journal of neuropsychology·2026
Same author

Augmented Dynamic Data Physicalization: Blending Shape-Changing Data Sculptures With Virtual Content for Interactive Visualization.

IEEE transactions on visualization and computer graphics·2025
Same author

Immersive Data-Driven Storytelling: Scoping an Emerging Field Through the Lenses of Research, Journalism, and Games.

IEEE transactions on visualization and computer graphics·2025

Related Experiment Video

Updated: Jan 29, 2026

Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone
09:26

Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone

Published on: January 2, 2020

19.0K

Augmented Reality Graph Visualizations.

Wolfgang Buschel, Stefan Vogt, Raimund Dachselt

    IEEE Computer Graphics and Applications
    |February 9, 2019
    PubMed
    Summary

    This study explores edge visualization techniques for 3D node-link diagrams used in immersive analysis. Findings from a user study reveal how different edge styles impact analytical efficiency.

    Area of Science:

    • Computer Science
    • Information Visualization
    • Human-Computer Interaction

    Background:

    • Three-dimensional (3D) node-link diagrams are crucial for complex data analysis in immersive environments.
    • Effective visualization of edges is vital for efficient interpretation of these diagrams, yet remains under-explored.

    Purpose of the Study:

    • To investigate the design space of edge styles for 3D node-link visualizations.
    • To evaluate the impact of different edge styles on analytical task performance through a user study.

    Main Methods:

    • Exploration of various edge design parameters.
    • User study involving participants analyzing data using 3D node-link diagrams with six distinct edge variants.

    Main Results:

    More Related Videos

    Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model
    06:18

    Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model

    Published on: May 24, 2024

    2.7K
    Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study
    05:43

    Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study

    Published on: November 30, 2022

    3.0K

    Related Experiment Videos

    Last Updated: Jan 29, 2026

    Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone
    09:26

    Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone

    Published on: January 2, 2020

    19.0K
    Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model
    06:18

    Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model

    Published on: May 24, 2024

    2.7K
    Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study
    05:43

    Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study

    Published on: November 30, 2022

    3.0K
    • Comparative analysis of user performance across different edge styles.
    • Identification of edge visualization characteristics that enhance or hinder analytical efficiency.

    Conclusions:

    • The choice of edge style significantly influences the effectiveness of 3D node-link diagrams for immersive analysis.
    • Design recommendations for edge visualization are provided to improve user performance in analytical tasks.