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

Interpreting R Charts01:22

Interpreting R Charts

284
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
284
Review and Preview01:13

Review and Preview

10.7K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
10.7K
Pie Chart01:04

Pie Chart

15.7K
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...
15.7K
Multiple Bar Graph01:07

Multiple Bar Graph

8.8K
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...
8.8K
Manipulation and Analysis01:21

Manipulation and Analysis

238
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
238
Data Reporting and Recording01:24

Data Reporting and Recording

5.3K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.3K

You might also read

Related Articles

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

Sort by
Same author

From Verbal Reports to Personalized Activity Trackers: Understanding the Challenges of Ground Truth Data Collection with Older Adults in the Wild.

Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies·2026
Same author

Looking Beyond the Screen to Study the Technology Use of Older People Experiencing Cognitive Concerns.

Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference·2026
Same author

Ambient Analytics: Calm Technology for Immersive Visualization and Sensemaking.

IEEE computer graphics and applications·2026
Same author

Diving Deep Into Time: Temporal Arrangements for Embedded Visualization in Swimming Videos.

IEEE transactions on visualization and computer graphics·2026
Same author

Design guidelines for animated data visualization based on perceptual capacity limits.

Cognitive research: principles and implications·2026
Same author

Quantum Computing and Visualization Research Challenges and Opportunities.

IEEE computer graphics and applications·2026
Same journal

Graph Pattern Matching based reassembly - 3DGPM.

IEEE computer graphics and applications·2026
Same journal

Making Learning Visible: Turning Public Engagement into Evidence for Academic Learning.

IEEE computer graphics and applications·2026
Same journal

LlymX: Multimodal LLM-Augmented XR for Context-Aware Information Access.

IEEE computer graphics and applications·2026
Same journal

Dynamic Gaussian-Based Digital Twin Reconstruction of Articulated Multi-Joint Objects.

IEEE computer graphics and applications·2026
Same journal

Steiner and Poisson Traversal Initializations: Initial Curve Optimization for Geometric Flow-based Surface Filling.

IEEE computer graphics and applications·2026
Same journal

Insight Into the Insight Toolkit.

IEEE computer graphics and applications·2026
See all related articles

Related Experiment Video

Updated: Dec 26, 2025

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.4K

Reaching Broader Audiences With Data Visualization.

Bongshin Lee, Eun Kyoung Choe, Petra Isenberg

    IEEE Computer Graphics and Applications
    |March 10, 2020
    PubMed
    Summary
    This summary is machine-generated.

    Data visualization can benefit everyone, not just experts. Research into personal, mobile, inclusive, and multimodal data visualization aims to make data more accessible to broader audiences.

    More Related Videos

    Using Generative Art to Convey Past and Future Climate Transitions
    06:10

    Using Generative Art to Convey Past and Future Climate Transitions

    Published on: March 31, 2023

    1.4K
    Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
    09:17

    Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

    Published on: September 13, 2022

    2.6K

    Related Experiment Videos

    Last Updated: Dec 26, 2025

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
    10:58

    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

    Published on: January 2, 2011

    10.4K
    Using Generative Art to Convey Past and Future Climate Transitions
    06:10

    Using Generative Art to Convey Past and Future Climate Transitions

    Published on: March 31, 2023

    1.4K
    Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
    09:17

    Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

    Published on: September 13, 2022

    2.6K

    Area of Science:

    • Information Science
    • Human-Computer Interaction
    • Data Science

    Background:

    • The visualization research community has primarily focused on data-savvy audiences.
    • Broader audiences could significantly benefit from visual data access.
    • Current visualization practices often exclude non-expert users.

    Purpose of the Study:

    • To identify key research areas for expanding data visualization's reach.
    • To explore strategies for making data visualization accessible to diverse user groups.
    • To foster wider adoption and benefit from data visualization tools and techniques.

    Main Methods:

    • Discussion of four pivotal research topics: personal data visualization, mobile data visualization, inclusive data visualization, and multimodal interaction.
    • Analysis of how these topics, individually and collectively, contribute to broader audience engagement.
    • Review of existing challenges and opportunities in data visualization accessibility.

    Main Results:

    • Personal data visualization empowers individuals with their own data.
    • Mobile data visualization enhances accessibility through ubiquitous devices.
    • Inclusive data visualization addresses the needs of users with disabilities.
    • Multimodal interaction offers diverse ways to engage with data.

    Conclusions:

    • Focusing on personal, mobile, inclusive, and multimodal approaches will significantly broaden data visualization's audience.
    • These research directions are crucial for democratizing data access and utilization.
    • The visualization community must prioritize accessibility to realize data's full potential for all.