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

Run Charts01:12

Run Charts

288
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...
288
The R Chart01:02

The R Chart

412
In statistical process control, control charts, particularly R charts, are instrumental in monitoring process variations and identifying non-random patterns that run charts might miss. R charts track the variability within process subgroups, which is crucial when standard deviation use is impractical or unknown process variations exist.
R charts are pivotal for pinpointing shifts in process variability. Stability is indicated when all data points remain within the defined upper and lower...
412
Pareto Chart00:52

Pareto Chart

7.8K
A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
7.8K
Interpreting R Charts01:22

Interpreting R Charts

348
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...
348
Pie Chart01:04

Pie Chart

16.2K
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...
16.2K
Interpreting Run Charts01:25

Interpreting Run Charts

3.3K
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...
3.3K

You might also read

Related Articles

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

Sort by
Same author

Reflections on Visualizing the COVID-19 Pandemic for the Public.

IEEE computer graphics and applications·2026
Same author

Multimodal passive smartphone sensing in older adults: a guide for clinical scientists based upon an ongoing cohort study.

Innovation in aging·2026
Same author

RT-GAN: Recurrent Temporal GAN for Adding Lightweight Temporal Consistency to Frame-Based Domain Translation Approaches.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same author

Generating Coherent Visualization Sequences for Multivariate Data by Causal Graph Traversal.

IEEE transactions on visualization and computer graphics·2026
Same author

Efficacy of Polyvinylpyrrolidone Soaked Synthetic Polyurethane Foam on Postoperative Pain of Nasal Bone Fracture.

The Journal of craniofacial surgery·2026
Same author

MisVisFix: An Interactive Dashboard for Detecting, Explaining, and Correcting Misleading Visualizations using Large Language Models.

IEEE transactions on visualization and computer graphics·2025
Same journal

Disseminating Geometric Figures for Architecture Education and Research Through a Direct Data Stream Between CAD Software and a Web Viewer.

IEEE computer graphics and applications·2026
Same journal

Designing scFlowVis: Visual Analytics for Single-Cell RNA Sequencing Analysis.

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
See all related articles

Related Experiment Video

Updated: Jan 30, 2026

Automated Charting of the Visual Space of Housefly Compound Eyes
08:34

Automated Charting of the Visual Space of Housefly Compound Eyes

Published on: March 31, 2022

2.3K

Graphoto: Aesthetically Pleasing Charts for Casual Information Visualization.

Ji Hwan Park, Arie Kaufman, Klaus Mueller

    IEEE Computer Graphics and Applications
    |January 23, 2019
    PubMed
    Summary
    This summary is machine-generated.

    Graphoto automatically generates aesthetically pleasing line graph visualizations by matching photos to data. This framework enhances casual data visualization through artistic photo-data integration and user customization.

    More Related Videos

    Aesthetically Enhanced Silica Aerogel Via Incorporation of Laser Etching and Dyes
    08:21

    Aesthetically Enhanced Silica Aerogel Via Incorporation of Laser Etching and Dyes

    Published on: March 12, 2021

    3.3K
    Methods to Test Visual Attention Online
    09:44

    Methods to Test Visual Attention Online

    Published on: February 19, 2015

    12.5K

    Related Experiment Videos

    Last Updated: Jan 30, 2026

    Automated Charting of the Visual Space of Housefly Compound Eyes
    08:34

    Automated Charting of the Visual Space of Housefly Compound Eyes

    Published on: March 31, 2022

    2.3K
    Aesthetically Enhanced Silica Aerogel Via Incorporation of Laser Etching and Dyes
    08:21

    Aesthetically Enhanced Silica Aerogel Via Incorporation of Laser Etching and Dyes

    Published on: March 12, 2021

    3.3K
    Methods to Test Visual Attention Online
    09:44

    Methods to Test Visual Attention Online

    Published on: February 19, 2015

    12.5K

    Area of Science:

    • Human-Computer Interaction
    • Data Visualization
    • Computer Graphics

    Background:

    • Aesthetics significantly impact personal data visualization effectiveness.
    • Existing methods often lack engaging and personalized visual outputs for casual users.
    • Line graphs are a common format for representing personal data over time.

    Purpose of the Study:

    • To introduce Graphoto, a novel framework for automatic photo generation and adjustment to match line graph data.
    • To enhance the aesthetic appeal and user engagement in casual line graph information visualization.
    • To investigate the effectiveness of Graphoto in improving data interpretation and aesthetic satisfaction.

    Main Methods:

    • Graphoto selects and deforms photos from an archive to align with input data line graphs.
    • It superimposes line graphs onto photos with customizable colors, styles, and embellishments (e.g., tick marks, labels).
    • A user study was conducted to evaluate the system's performance in data interpretation and aesthetics.

    Main Results:

    • Graphoto successfully generates visually appealing visualizations by integrating line graphs with photos.
    • The framework allows for user-defined artistic preferences in the final output.
    • User study results indicate improved data interpretation and aesthetic appreciation compared to traditional methods.

    Conclusions:

    • Graphoto offers an innovative approach to casual data visualization by merging line graphs with photographic elements.
    • The system demonstrates potential for increasing user engagement and understanding of personal data.
    • Future work could explore a wider range of data types and photo manipulation techniques.