Even when data that we wish to link resides in separate locations on a dashboard, the principle of similarity can be applied to establish that link. This principle works especially well as a means of identifying different datasets in a graph. We associate categorical variables to attributes such red color for loss, green color for profit, triangles for cats, etc. Objects of the same color, size, shape and orientation belong to the same group, right? The tendency of how we group things according to these factors or attributes are also part of Gestalt Principles. People, especially designers who understand these principles, can develop visuals that communicate information in the most effective ways. The Gestalt Principles consist of several principles that describe how the human brain sees visual information, namely – proximity, similarity, continuity, closure, connection, and enclosure. It refers to the patterns that you perceive when presented with a few graphical elements. Gestalt means “unified whole” in English and is generally associated with the idea that the whole is greater than the sum of its parts. You may be aware of it or maybe not, but every time you’re doing data viz, you definitely need to apply Gestalt Principles. Understanding why certain data visualization techniques work better than others has psychological roots. What’s the connection between these two ideas? Becoming good in data visualization requires the acquisition of foundational knowledge. Every person who’s very good at something started somewhere that laid the foundation of their expertise. Data visualization is not just about transforming data into understandable and good-looking charts.
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