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

Contingency Table01:29

Contingency Table

2.5K
A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...
2.5K
Bar Graph01:07

Bar Graph

16.4K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
16.4K
Pie Chart01:04

Pie Chart

14.1K
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...
14.1K
Multiple Bar Graph01:07

Multiple Bar Graph

5.1K
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...
5.1K
pV-Diagrams01:18

pV-Diagrams

4.1K
The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
4.1K
Pareto Chart00:52

Pareto Chart

6.7K
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...
6.7K

You might also read

Related Articles

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

Sort by
Same author

Clinicopathological Characteristics, Prognosis, and Survival of HER2-Low Breast Cancer Patients Based on a Retrospective Cohort Study of 14,642 Patients.

Cancers·2026
Same author

A Method for Continuous Dual-Offline Payment of Cryptocurrency Based on Asset Credentials.

Sensors (Basel, Switzerland)·2026
Same author

Integrated Proteogenomic Characterization Identifies Breast Cancer Immune Subgroups and Subtype-Specific Therapeutic Strategies.

Research (Washington, D.C.)·2026
Same author

A risk prediction model for medication safety: assessing cardiopulmonary adverse outcomes in 11,252 patients treated with ulinastatin.

Frontiers in pharmacology·2026
Same author

Synthesis-free and high-efficient molecular complexation based magnetic dispersive liquid-liquid microextraction for the efficient enrichment and determination of phenoxycarboxylic acid herbicide in various samples.

Food chemistry: X·2026
Same author

Proteogenomic Characterization Reveals Subtype-Specific Therapeutic Potential for HER2-Low Breast Cancer.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025

Related Experiment Video

Updated: Jun 28, 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

10.1K

CoInsight: Visual Storytelling for Hierarchical Tables With Connected Insights.

Guozheng Li, Runfei Li, Yunshan Feng

    IEEE Transactions on Visualization and Computer Graphics
    |April 15, 2024
    PubMed
    Summary

    CoInsight connects data insights from hierarchical tables for visual storytelling. This system helps analysts leverage rich table headers to create compelling data narratives.

    More Related Videos

    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
    09:43

    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

    Published on: November 22, 2019

    6.3K
    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

    2.1K

    Related Experiment Videos

    Last Updated: Jun 28, 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

    10.1K
    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
    09:43

    Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

    Published on: November 22, 2019

    6.3K
    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

    2.1K

    Area of Science:

    • Data Science
    • Information Visualization
    • Human-Computer Interaction

    Background:

    • Data analysis often involves extracting insights from tabular data.
    • Existing methods primarily focus on flat tables, neglecting hierarchical table structures.
    • Hierarchical tables offer rich header information for deeper data insights.

    Purpose of the Study:

    • To develop a system, CoInsight, for visual data storytelling from hierarchical tables.
    • To efficiently organize and connect data insights derived from complex table structures.
    • To assist data analysts in creating visual narratives using hierarchical data.

    Main Methods:

    • CoInsight extracts data insights from hierarchical tables.
    • It establishes relationships between insights based on hierarchical header structures.
    • Visualizations are generated using a nested graph with edge bundling.

    Main Results:

    • The CoInsight system effectively extracts and connects insights from hierarchical tables.
    • The nested graph visualization aids in understanding relationships between data insights.
    • User evaluations confirm the system's utility and usability for visual storytelling.

    Conclusions:

    • CoInsight facilitates the creation of visual data stories from hierarchical tables.
    • Leveraging hierarchical table structures enhances data insight extraction and presentation.
    • The system offers a novel approach to visual data storytelling for complex datasets.