See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to ...

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 ...

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

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 ...

Color is a powerful tool in data visualization, but it must be applied thoughtfully to enhance clarity and impact. Follow these guidelines to use color effectively: Limit your color palette: Too ...

Choosing color in data visualizations Background: “In data visualization, color sets the tone and enforces a message for the underlying visual display,” contributor Eva Murray writes in a 2019 Forbes ...

This is where clinical trial data visualization solutions with interactive dashboards and built-in analytics come into play, revolutionizing the way researchers and stakeholders manage and ...

More information: Helena Klara Jambor, A checklist for designing and improving the visualization of scientific data, Nature Cell Biology (2025). DOI: 10.1038/s41556-025-01684-z ...