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

Interpreting R Charts

Interpreting R Charts

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...

Pie Chart

Pie Chart

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...

Bar Graph

Bar Graph

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...

Pareto Chart

Pareto Chart

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...

Colors and Magnetism

Colors and Magnetism

Color in Coordination Complexes
When atoms or molecules absorb light at the proper frequency, their electrons are excited to higher-energy orbitals. For many main group atoms and molecules, the absorbed photons are in the ultraviolet range of the electromagnetic spectrum, which cannot be detected by the human eye. For coordination compounds, the energy difference between the d orbitals often allows photons in the visible range to be absorbed and emitted, which is seen as colors by the human...

The R Chart

The R Chart

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...

You might also read

Related Articles

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

Sort by

Same author

Color-map recommendation for MR relaxometry maps.

Magnetic resonance in medicine·2024

Same author

Color Maps: Facilitating the Clinical Impact of Quantitative MRI.

Journal of magnetic resonance imaging : JMRI·2024

Same author

Choosing Suitable Color Palettes for Accessible and Accurate Science Figures.

Current protocols·2024

Same author

Coloring Chemistry-How Mindful Color Choices Improve Chemical Communication.

Angewandte Chemie (International ed. in English)·2022

Same author

The misuse of colour in science communication.

Nature communications·2020

Same author

A transdisciplinary and community-driven database to unravel subduction zone initiation.

Nature communications·2020

Search research articles

Related Experiment Video

Updated: Jun 25, 2025

Visualizing the Developing Brain in Living Zebrafish using Brainbow and Time-lapse Confocal Imaging

Visualizing the Developing Brain in Living Zebrafish using Brainbow and Time-lapse Confocal Imaging

Published on: March 23, 2020

Navigating color integrity in data visualization.

Fabio Crameri^1,2, Sari Hason^1,3

¹Undertone.design, Wildermettweg 58, Bern, Switzerland.

Patterns (New York, N.Y.)

|May 27, 2024

Summary

Accurate color use in scientific visualization is essential. This study promotes accessible, color-blind friendly palettes and perceptually even gradients for inclusive data representation.

More Related Videos

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

Author Spotlight: Unveiling Plankton Response to Climate Change Through Time-Series Data and Artistic Expression

Author Spotlight: Unveiling Plankton Response to Climate Change Through Time-Series Data and Artistic Expression

Published on: July 28, 2023

Related Experiment Videos

Last Updated: Jun 25, 2025

Visualizing the Developing Brain in Living Zebrafish using Brainbow and Time-lapse Confocal Imaging

Visualizing the Developing Brain in Living Zebrafish using Brainbow and Time-lapse Confocal Imaging

Published on: March 23, 2020

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

Author Spotlight: Unveiling Plankton Response to Climate Change Through Time-Series Data and Artistic Expression

Author Spotlight: Unveiling Plankton Response to Climate Change Through Time-Series Data and Artistic Expression

Published on: July 28, 2023

Area of Science:

Scientific visualization
Data representation
Color theory

Background:

Color is a critical element in scientific visualization.
Misuse of color can lead to misinterpretation of data.
Lack of standardized practices hinders accurate data representation.

Discussion:

Implementing color-blind friendly palettes ensures accessibility for all viewers.
Perceptually even gradients are vital for accurate data interpretation.
Promoting basic knowledge in data visualization fosters a culture of color integrity.

Key Insights:

Accessible and accurate color techniques are crucial for effective scientific visualization.
Color integrity in data visualization ensures accurate and inclusive representation.
Standardized use of color-blind friendly palettes and perceptually even gradients is recommended.

Outlook:

Future research should focus on developing more advanced accessible color tools.
Encouraging widespread adoption of best practices in color use will improve scientific communication.
Continued education on data visualization principles will enhance the reliability of scientific graphics.