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Michigan State University

Science Communication Guide

Resources to support the MSU science community in effectively sharing research with the academic, scientific, and public audiences.

Introduction

Pictorial representation of a user interacting with data.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:

Data Visualization Tools

There are countless data visualization tools available. However, you may be interested in getting started with one of these popular tools:

  • Excel
  • Tableau
  • Plotly
  • Visualization libraries for programming languages like R and Python

Online Tools:

Acessibilty

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.

Resources for Color Choices:

Data Visualization Examples

Library Resources

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