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.
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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.
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.