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Data Visualization: Home

Data Visualization

Data visualization is the visual representation of information or data by any means. Data visualizations come in many forms, spanning written text as a form of information visualization to graphical user interfaces and beyond. This guide introduces several different topics related to reading and creating data visualizations and to situate the art and science of data visualizations within current contexts.

Data visualization librarian

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Book a consultation appointment if you want in-depth help with topics such as:

  • Choosing and applying the best visualization tool to suit your data needs
  • Choosing and applying the best type of visualization (a chart, a map, etc.)
  • Best practices for effective communication through information design
  • Selecting and cleaning data for visualization
  • Reviewing and providing feedback on your created data visualizations

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Contents

This guide is an introduction to data visualization. It is broken down into a section of knowledge regarding how to read data visualizations and understand their contexts; a section on how to start creating a data visualization yourself; and finally a list of many resources to keep learning.

 

 

Types of data visualizations
Examples
How visualizations lie
Citing data visualizations

 

Creation process
Choosing the right visualization tool
Information design principles
Accessibility

Equity, diversity, and inclusion

Finding data

 

Books and ebooks
Blogs, videos, and websites
Articles, journals, and conferences
Tutorials and courses

Related resources at York

Acknowledgements

This guide builds upon the invaluable guides on data visualization first created by York librarians Kris Joseph and Walter Giesbrecht. It further draws upon the works of many other librarians, archivists, scholars, practitioners, and others from York and beyond.