Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Load along a Single Axis

Load along a Single Axis

In structural engineering, the analysis of beams subjected to varying loads is a critical aspect of understanding the behavior and performance of these structural elements. A common scenario involves a beam subjected to a combination of different load distributions.
Consider a beam of length L subjected to a varying load, which is a combination of parabolic and trapezoidal load distribution along the x-axis. In this case, it is essential to determine the resultant loads, their locations, and...

Relative Motion Analysis using Rotating Axes

Relative Motion Analysis using Rotating Axes

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it instrumental in...

Multiple Bar Graph

Multiple Bar Graph

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...

Modified Boxplots

Modified Boxplots

A standard box and whisker plot informs us about the spread of the data in a given sample. One can identify the minimum value, maximum value, first quartile value, second quartile or median value, and third quartile.
However, the box plot does not tell the reader about outliers - values that lie far from the center of the data. We can modify the standard box and whisker plot to identify the outliers and visualize the actual spread of the data in a sample.
Initially, we calculate the adjusted...

Eccentric Axial Loading in a Plane of Symmetry

Eccentric Axial Loading in a Plane of Symmetry

Eccentric axial loading occurs when an axial load is applied away from the centroidal axis of a structural member. This scenario is common in engineering, where structural elements may not be directly aligned due to various design or functional requirements.

Skewness

Skewness

The measures of central tendency calculated from a data set may not reveal much about its intrinsic distribution. If a plot is made of the data set’s values, the mean and the median may not only differ, but also the plot may have more values on one side of the central tendencies. Such a data set is said to be skewed towards that side.
The longer the tail of the plot on one side, the more skewed it is. The skewness of a data set’s values suggests that the measures of central tendency are...

You might also read

Related Articles

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

Sort by

Same author

StrategyAtlas: Strategy Analysis for Machine Learning Interpretability.

IEEE transactions on visualization and computer graphics·2022

Same author

The Role of Interactive Visualization in Fostering Trust in AI.

IEEE computer graphics and applications·2021

Same author

II-20: Intelligent and pragmatic analytic categorization of image collections.

IEEE transactions on visualization and computer graphics·2020

Same author

Exploring Multivariate Event Sequences Using Rules, Aggregations, and Selections.

IEEE transactions on visualization and computer graphics·2017

Same author

Reducing Snapshots to Points: A Visual Analytics Approach to Dynamic Network Exploration.

IEEE transactions on visualization and computer graphics·2015

Same author

Visualization, Selection, and Analysis of Traffic Flows.

IEEE transactions on visualization and computer graphics·2015

Search research articles

Related Experiment Video

Updated: May 28, 2026

Automatic Identification of Dendritic Branches and their Orientation

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

Flexible Linked Axes for multivariate data visualization.

Jarry H T Claessen¹, Jarke J van Wijk

¹Eindhoven University of Technology.

IEEE Transactions on Visualization and Computer Graphics

|October 29, 2011

Summary

This study introduces Flexible Linked Axes, a novel approach to multivariate data visualization. This method empowers users to freely define custom visualizations, enhancing flexibility and interactivity beyond standard techniques.

More Related Videos

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Published on: February 28, 2021

Related Experiment Videos

Last Updated: May 28, 2026

Automatic Identification of Dendritic Branches and their Orientation

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Published on: February 28, 2021

Area of Science:

Computer Science
Data Visualization

Background:

Multivariate data visualization is a well-established field with numerous existing solutions.
Standard visualization tools often have fixed structures, limiting user customization.
Existing methods present a trade-off between flexibility and complexity.

Purpose of the Study:

To develop a more flexible and user-driven approach to multivariate data visualization.
To enable users to define custom visualizations by interactively creating and linking axes.
To support a wide range of visualization types, including standard and novel ones.

Main Methods:

Introduction of Flexible Linked Axes (FLA) as a core concept.
Users define visualizations by drawing and linking axes on a canvas.
Axes are associated with data attributes and ranges, which are adaptable.
Links between axes generate scatter plot or Parallel Coordinates Plot (PCP) views.
Support for composite visualizations with automatic brushing and linking.

Main Results:

Flexible Linked Axes enable the creation of diverse visualizations.
This includes standard methods like scatter plot matrices, radar charts, and PCPs.
It also supports less common methods such as Hyperboxes and TimeWheels.
Custom and composite visualizations combining scatter plots and PCPs are achievable.
The approach facilitates interactive features like brushing and linking.

Conclusions:

Flexible Linked Axes offer unprecedented user freedom in defining multivariate visualizations.
The method integrates various visualization types and interactive capabilities.
Prospective users found the FLA concept intuitive and highly promising for data exploration.