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

How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

44.2K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
44.2K
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

37.7K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
37.7K
Data Reporting and Recording01:24

Data Reporting and Recording

5.4K
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...
5.4K
Data Validation01:15

Data Validation

1.3K
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
1.3K
Data Validation01:03

Data Validation

6.7K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
6.7K
Data Collection II01:29

Data Collection II

9.9K
The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
9.9K

You might also read

Related Articles

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

Sort by
Same author

RETRACTED: Cataldi et al. Neutral Sphingomyelinase Modulation in the Protective/Preventive Role of rMnSOD from Radiation-Induced Damage in the Brain. <i>Int. J. Mol. Sci.</i> 2019, <i>20</i>, 5431.

International journal of molecular sciences·2026
Same author

Corneal Endothelial Keratoplasty After Glaucoma Treatment: An American Academy of Ophthalmology IRIS® Registry Analysis.

Ophthalmology. Glaucoma·2026
Same author

Pathobiology of Highly Pathogenic Avian Influenza A (H5N1 Clade 2.3.4.4b) Virus from Pinnipeds on Tyuleniy Island in the Sea of Okhotsk, Russia.

Viruses·2026
Same author

Rare genetic variants confer a high risk of ADHD and implicate neuronal biology.

Nature·2025
Same author

m<sup>6</sup>A RNA Modification: Technologies Behind Future Anti-Cancer Therapy.

Molecules (Basel, Switzerland)·2025
Same author

Data Duplication and Errors in Large Medical Data Sets: A Case Study in the IRIS® Registry.

Ophthalmology science·2025
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: Jan 29, 2026

Walk with Me Hybrid Virtual/In-Person Walking for Older Adults with Neurodegenerative Disease
07:21

Walk with Me Hybrid Virtual/In-Person Walking for Older Adults with Neurodegenerative Disease

Published on: June 16, 2023

1.4K

A Walk Among the Data.

Alexander Ivanov, Kurtis Danyluk, Christian Jacob

    IEEE Computer Graphics and Applications
    |February 15, 2019
    PubMed
    Summary
    This summary is machine-generated.

    Immersive unit visualizations in virtual reality allow users to explore data interactively at various scales. This technology fosters deeper engagement and personal connections with complex datasets.

    More Related Videos

    Author Spotlight: Developing Low-Tech Balance Assessment Methods for Broad-Spectrum Healthcare Applications
    06:28

    Author Spotlight: Developing Low-Tech Balance Assessment Methods for Broad-Spectrum Healthcare Applications

    Published on: September 1, 2023

    6.2K
    Measuring the Switch Cost of Smartphone Use While Walking
    07:00

    Measuring the Switch Cost of Smartphone Use While Walking

    Published on: April 30, 2020

    2.2K

    Related Experiment Videos

    Last Updated: Jan 29, 2026

    Walk with Me Hybrid Virtual/In-Person Walking for Older Adults with Neurodegenerative Disease
    07:21

    Walk with Me Hybrid Virtual/In-Person Walking for Older Adults with Neurodegenerative Disease

    Published on: June 16, 2023

    1.4K
    Author Spotlight: Developing Low-Tech Balance Assessment Methods for Broad-Spectrum Healthcare Applications
    06:28

    Author Spotlight: Developing Low-Tech Balance Assessment Methods for Broad-Spectrum Healthcare Applications

    Published on: September 1, 2023

    6.2K
    Measuring the Switch Cost of Smartphone Use While Walking
    07:00

    Measuring the Switch Cost of Smartphone Use While Walking

    Published on: April 30, 2020

    2.2K

    Area of Science:

    • Data Visualization
    • Human-Computer Interaction
    • Virtual Reality

    Background:

    • Traditional data visualization methods often struggle to convey complex relationships and individual data points effectively.
    • The increasing accessibility of virtual reality (VR) technology opens new avenues for data exploration.

    Purpose of the Study:

    • To investigate the potential of immersive unit visualizations for data analysis.
    • To explore how interactive virtual environments can enhance data comprehension and user experience.

    Main Methods:

    • Development of a virtual reality prototype for immersive unit visualizations.
    • Populating virtual environments with objects representing individual data items.
    • User interaction within the virtual environment to examine data.

    Main Results:

    • Immersive unit visualizations enable examination of data at multiple scales.
    • The prototype supports immersive and intuitive data exploration.
    • Users reported affective and personal experiences with the data.

    Conclusions:

    • Immersive unit visualizations offer a powerful new paradigm for data analysis.
    • VR-based data exploration can lead to enhanced understanding and engagement.
    • This approach has the potential to transform how individuals interact with datasets.