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

Types of Surveys01:27

Types of Surveys

81
Surveys are essential for marking property boundaries near water bodies. Different types of surveys are defined, each with its own function. Land surveys mark the property boundaries, while route surveys determine the position of properties on nearby highways. Topographic surveys create maps by capturing the three-dimensional features of the land. Hydrographic surveys focus on the shapes of underwater areas and the movement of streams through the properties. Mine surveys determine the relative...
81
Data Collection by Survey01:07

Data Collection by Survey

6.6K
The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
6.6K
Review and Preview01:13

Review and Preview

9.1K
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...
9.1K
Run Charts01:12

Run Charts

91
Run charts serve as an essential instrument for visualizing the performance of various processes over time, enabling the identification of trends and patterns crucial for quality improvement. These charts map out a series of data points chronologically, offering insights into the stability and efficiency of a process. A run chart's creation involves plotting data points on a graph, with the time intervals on the horizontal axis and the specific measurements on the vertical axis. For...
91
Surveys02:16

Surveys

14.9K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
14.9K
Interpreting Run Charts01:25

Interpreting Run Charts

239
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
239

You might also read

Related Articles

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

Sort by
Same author

Preconception and first-trimester metformin for improving pregnancy outcomes in women with polycystic ovary syndrome.

The Cochrane database of systematic reviews·2026
Same author

Developing an AI-Assisted Tool That Identifies Patients With Multimorbidity and Complex Polypharmacy to Improve the Process of Medication Reviews: Qualitative Interview and Focus Group Study.

Journal of medical Internet research·2026
Same author

OM4AnI: A Novel Overlap Measure for Anomaly Identification in Multi-Class Scatterplots.

IEEE transactions on visualization and computer graphics·2025
Same author

A Multicomponent Intervention to Improve Maternal Infection Outcomes.

The New England journal of medicine·2025
Same author

Reflections on the Use of Dashboards in the COVID-19 Pandemic.

IEEE computer graphics and applications·2025
Same author

Preconception and first-trimester metformin on pregnancy outcomes in women with polycystic ovary syndrome: a systematic review and meta-analysis.

American journal of obstetrics and gynecology·2025
Same journal

Blue Noise Dithering for Reservoir-based Spatio-temporal Importance Resampling.

IEEE transactions on visualization and computer graphics·2026
Same journal

ROS-GS: Relightable Outdoor Scenes With Gaussian Splatting.

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

Related Experiment Video

Updated: Aug 4, 2025

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

2.4K

Tasks and Visualizations Used for Data Profiling: A Survey and Interview Study.

Roy A Ruddle, James Cheshire, Sara Johansson Fernstad

    IEEE Transactions on Visualization and Computer Graphics
    |April 5, 2023
    PubMed
    Summary
    This summary is machine-generated.

    This study surveyed data analysts on data quality methods. Findings reveal diverse profiling tasks and visualization techniques, emphasizing the need for formalized processes and rulebooks for robust data characterization.

    More Related Videos

    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

    10.2K
    Profiling Maternal Behavior Responses During Whole-Brain Imaging
    07:12

    Profiling Maternal Behavior Responses During Whole-Brain Imaging

    Published on: January 24, 2025

    852

    Related Experiment Videos

    Last Updated: Aug 4, 2025

    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

    2.4K
    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

    10.2K
    Profiling Maternal Behavior Responses During Whole-Brain Imaging
    07:12

    Profiling Maternal Behavior Responses During Whole-Brain Imaging

    Published on: January 24, 2025

    852

    Area of Science:

    • Data Science
    • Information Science
    • Computer Science

    Background:

    • Effective decision-making relies on high-quality, fit-for-purpose data.
    • Current data quality processes exhibit variability across organizations and practitioners.
    • Understanding data characterization and quality investigation methods is crucial.

    Purpose of the Study:

    • To comprehensively document computational and visual methods for data characterization and quality investigation.
    • To explore the practical perspectives of data analysts on what constitutes good data profiling.
    • To identify best practices and areas for improvement in data quality management.

    Main Methods:

    • A survey of 53 data analysts across various industry sectors.
    • In-depth interviews with 24 of the surveyed data analysts.
    • Analysis of computational and visual methods employed in data profiling and quality assessment.

    Main Results:

    • Compilation of extensive lists of data profiling tasks and visualization techniques, exceeding existing literature.
    • Identification of a wide diversity in data profiling tasks and visualization practices among analysts.
    • Insights into practitioners' views on effective data profiling and quality assurance.

    Conclusions:

    • Formalizing data profiling processes and establishing rulebooks can enhance data quality.
    • The study provides a more comprehensive understanding of data science fundamentals related to data quality.
    • Recommendations are offered for improving the consistency and effectiveness of data profiling practices.