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

5.6K
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...
5.6K
Graphical and Analytic Representation of Sinusoids01:20

Graphical and Analytic Representation of Sinusoids

379
Analyzing two sinusoidal voltages with equal amplitude and period but different phases on an oscilloscope, an instrument used to display and analyze waveforms, involves a three-step process.
The first step is measuring the peak-to-peak value, which is twice the amplitude of the sinusoid. This provides information about the maximum voltage swing of the waveform.
Secondly, the period and angular frequency are determined. The period is the time taken for one complete cycle of the waveform, while...
379
Multiple Bar Graph01:07

Multiple Bar Graph

5.1K
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...
5.1K
Bar Graph01:07

Bar Graph

16.0K
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...
16.0K
Time-Series Graph00:54

Time-Series Graph

4.3K
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...
4.3K
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

12.0K
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...
12.0K

You might also read

Related Articles

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

Sort by
Same author

All-Solid-State Lithium-Sulfur Batteries: Recent Progress, Challenges, and Perspectives.

Materials (Basel, Switzerland)·2026
Same author

A Preliminary Study on the Efficacy and Safety of a Novel Digital Therapeutic Device: A Randomized Clinical Trial in South Korean Pediatric Patients With Attention-Deficit/Hyperactivity Disorder.

Psychiatry investigation·2026
Same author

Transferrin receptor 1 binds human parvovirus B19 VP1u to facilitate entry.

Nature communications·2026
Same author

Sound, Touch, or the Full Monty? A Comparative Study of Accessible Data Exploration Systems for Blind Users.

ACM transactions on accessible computing·2026
Same author

Effects of Swelling on Static and Dynamic Postural Control and Patient-Reported Outcomes in Individuals With Chronic Ankle Instability.

Clinical journal of sport medicine : official journal of the Canadian Academy of Sport Medicine·2026
Same author

Ambient Analytics: Calm Technology for Immersive Visualization and Sensemaking.

IEEE computer graphics and applications·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Video

Updated: Jun 13, 2025

Experimental and Data Analysis Workflow for Soft Matter Nanoindentation
13:04

Experimental and Data Analysis Workflow for Soft Matter Nanoindentation

Published on: January 18, 2022

3.9K

DG Comics: Semi-Automatically Authoring Graph Comics for Dynamic Graphs.

Joohee Kim, Hyunwook Lee, Duc M Nguyen

    IEEE Transactions on Visualization and Computer Graphics
    |September 10, 2024
    PubMed
    Summary
    This summary is machine-generated.

    DG COMICS simplifies creating visual stories from dynamic graphs. This tool semi-automatically generates comics from changing graph data, making complex information more accessible.

    More Related Videos

    A Web Tool for Generating High Quality Machine-readable Biological Pathways
    08:01

    A Web Tool for Generating High Quality Machine-readable Biological Pathways

    Published on: February 8, 2017

    17.6K
    Author Spotlight: Advanced Techniques for Visualizing Endogenous Axonal Transport Dynamics
    05:47

    Author Spotlight: Advanced Techniques for Visualizing Endogenous Axonal Transport Dynamics

    Published on: February 16, 2024

    726

    Related Experiment Videos

    Last Updated: Jun 13, 2025

    Experimental and Data Analysis Workflow for Soft Matter Nanoindentation
    13:04

    Experimental and Data Analysis Workflow for Soft Matter Nanoindentation

    Published on: January 18, 2022

    3.9K
    A Web Tool for Generating High Quality Machine-readable Biological Pathways
    08:01

    A Web Tool for Generating High Quality Machine-readable Biological Pathways

    Published on: February 8, 2017

    17.6K
    Author Spotlight: Advanced Techniques for Visualizing Endogenous Axonal Transport Dynamics
    05:47

    Author Spotlight: Advanced Techniques for Visualizing Endogenous Axonal Transport Dynamics

    Published on: February 16, 2024

    726

    Area of Science:

    • Computer Science
    • Data Visualization
    • Graph Theory

    Background:

    • Sequential data-driven storytelling is effective for dynamic graphs.
    • Manual creation of comics for dynamic graphs is time-consuming and complex.

    Purpose of the Study:

    • Introduce DG COMICS, a novel tool for semi-automatic comic authoring for dynamic graphs.
    • Enable users to efficiently build and annotate comics from dynamic graph data.

    Main Methods:

    • Utilize a hierarchical clustering algorithm to segment dynamic graph snapshots chronologically.
    • Extract and present rich information on individuals and communities from dynamic graphs in multiple views.

    Main Results:

    • DG COMICS allows semi-automatic comic generation from dynamic graphs.
    • Users can explore and select information for comic narratives.
    • Evaluation includes an example, user study, and expert review.

    Conclusions:

    • DG COMICS offers an efficient solution for visualizing dynamic graph evolution through comics.
    • The tool facilitates the creation of accessible and informative visual narratives from complex graph data.