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Data visualization is a common and effective tool for communicating science to both experts and non-experts in a variety of formats including scientific papers, presentations, and posters. How data is represented in visualizations can dramatically affect how science is understood. When creating visualizations, scientists should consider the type of data, the underlying research question, and the intended audience in order to best communicate their findings.
For more information on best practices in data visualization see:
Featured Library Books
Data Visualization by
Call Number: QA76.9.I52 H43 2019
Print guide to using R for data visualization. Available at Boca Raton. Request through ILL.
R for Data Science: import, tidy, transform, visualize, and model data by
Call Number: e-book
Publication Date: 2017
This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.
Introduction to Data Visualization
Color choices, captions, and formatting can all contribute to the accessibility or inaccessibility of data visualizations. The following resources give a brief overview of steps you can take to make your data visualizations more accessible.
Accessibility Considerations In Data Visualization Design
With a significant sector of the population living with disability, UX designers must take into account the diverse capabilities of their intended users to offer the richest experience possible, especially when it comes to data reporting.
Accessibilty for Teams - Data Visualization
The federal government's guide for accessibility in visual design. This page gives a quick overview of accessible data visualization design with links to the appropriate WCAG 2.0 guidelines.
Resources for Color Choices:
Color Brewer is a tool for choosing color palettes for visualization based on data type. The tool also assists with choosing color blind friendly palettes.
Data Visualization Examples
Harbor Branch Oceanographic Institute Library
Last updated on Sep 1, 2021 9:38 AM