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

Statgraphics01:10

Statgraphics

300
Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
300
Interpreting Run Charts01:25

Interpreting Run Charts

3.0K
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...
3.0K
Time-Series Graph00:54

Time-Series Graph

4.8K
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...
4.8K
Multiple Bar Graph01:07

Multiple Bar Graph

8.7K
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...
8.7K
Quantifying Work02:30

Quantifying Work

23.2K
As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system.
23.2K
Methods of Documentation IV: Focus Charting01:26

Methods of Documentation IV: Focus Charting

1.5K
Focus Charting, also known as the focus charting system or "focus documentation," is a systematic documentation approach used in healthcare to organize patient information in medical records.
It typically involves three columns for recording information:
1.5K

You might also read

Related Articles

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

Sort by
Same author

Clinical effectiveness and safety of laser lancing for heel puncture in preterm infants: a randomized crossover non-inferiority trial.

Journal of perinatology : official journal of the California Perinatal Association·2026
Same author

Safety and Radiological Outcomes of Posterior-Based Minimally Invasive Scoliosis Surgery in Young Adult Idiopathic Scoliosis: A Comparative Study Based on Age.

Operative neurosurgery (Hagerstown, Md.)·2026
Same author

Intercuneiform stabilization during a modified Lapidus procedure for hallux valgus results in decreased intercuneiform gapping and recurrence rates.

Foot and ankle surgery : official journal of the European Society of Foot and Ankle Surgeons·2026
Same author

Rotational Stability of Non-Engaging Abutments: Influence of Positioning Guide Thickness and Definitive Prosthesis Cement Space.

Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.]·2026
Same author

A distribution-level statistical framework for reliable pipeline leak detection using multi-domain signal analysis.

Scientific reports·2026
Same author

High CT-scan confirmed union rates following subtalar and talonavicular arthrodesis through a single medial approach.

Foot and ankle surgery : official journal of the European Society of Foot and Ankle Surgeons·2026
Same journal

Two-phase Impulse Fluid on Particle Flow Map.

IEEE transactions on visualization and computer graphics·2026
Same journal

FGO-SLAM++: Real-time Geometry-Aware Gaussian SLAM with Continuous Opacity Field.

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

Related Experiment Video

Updated: Dec 6, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.5K

Githru: Visual Analytics for Understanding Software Development History Through Git Metadata Analysis.

Youngtaek Kim, Jaeyoung Kim, Hyeon Jeon

    IEEE Transactions on Visualization and Computer Graphics
    |October 13, 2020
    PubMed
    Summary
    This summary is machine-generated.

    Githru is a new visual analytics system that helps developers understand software development history by interactively exploring Git metadata. It overcomes limitations of current tools, enabling better comprehension of complex project timelines.

    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

    10.4K
    Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
    08:03

    Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

    Published on: December 7, 2021

    2.6K

    Related Experiment Videos

    Last Updated: Dec 6, 2025

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
    10:44

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

    Published on: December 7, 2021

    2.5K
    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
    Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
    08:03

    Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

    Published on: December 7, 2021

    2.6K

    Area of Science:

    • Software Engineering
    • Human-Computer Interaction
    • Data Visualization

    Background:

    • Git metadata offers crucial insights into software development history for various stakeholders.
    • Existing Git visualization tools are inadequate for analyzing large-scale development histories and complex commit graphs.
    • Current tools prioritize Git command usability over historical context understanding and do not scale effectively.

    Purpose of the Study:

    • To present Githru, an interactive visual analytics system for understanding software development context via Git metadata exploration.
    • To enable effective analysis and exploration of large and complex Git commit graphs.
    • To improve the comprehension of software development history for developers, managers, and testers.

    Main Methods:

    • Developed an interactive visual encoding idiom for scalable representation of large Git graphs, preserving topology.
    • Proposed novel abstraction techniques: graph reconstruction, clustering, and Context-Preserving Squash Merge (CSM).
    • Integrated these techniques into Githru, offering summary and comparison views for commit clusters.

    Main Results:

    • Githru effectively enables interactive exploration and understanding of Git metadata and development history.
    • Case studies with domain experts on real-world datasets demonstrated Githru's efficacy.
    • A user study showed Githru significantly reduces task completion time compared to existing tools.

    Conclusions:

    • Githru provides a scalable and effective solution for analyzing complex Git commit graphs and development histories.
    • The system enhances developer comprehension of project evolution, aiding onboarding and decision-making.
    • Githru represents a significant advancement in visual analytics for software engineering.