Every year, more than one million scientific articles are published in the life sciences. Two-thirds of them include ...

R is an open-source programming language that enables effective handling of data while providing powerful graphical capabilities. This workshop series is tailored to beginners and assumes no prior ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

Learn how to make the most of Observable JavaScript and the Observable Plot library, including a step-by-step guide to eight basic data visualization tasks in Plot.

Aesthetics—the use of the right visual size, typography, flow and color—can significantly bolster data visualization. Some recommendations include the following.

Data visualisation is a cornerstone of modern scientific communication, and colour theory provides a structured framework for translating complex datasets into intuitive visual representations.

The best data visualization tools should be easy to use (or come with a comprehensive tutorial), handle large amounts of data points, and be able to convert different data subsets into multiple ...

Data visualization is the graphical representation of information and data via visual elements like charts, graphs, and maps. It allows decision-makers to understand and communicate complex ideas ...

The graph below shows the total number of publications each year in Data Visualization and Color Theory. References [1] The misuse of colour in science communication .