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Stony Brook University

Data Visualization Guide

Why Data Visualization?

Data visualization transforms raw data into visual formats like charts, graphs, and maps, making complex information more accessible and understandable. Data visualization enables us to:

  1. Identify patterns and trends
  2. Communicate findings clearly
  3. Support data-driven decisions

Various data visualizations may be required based on specific needs and purposes, and these can also differ across disciplines due to variations in data types and the software used for analysis and visualization. Nevertheless, there are some general principles of effective data visualization. This guide provides advice on best practices and introduces useful tools to assist you in creating successful data visualizations.

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