![]() If visitors see a massive spreadsheet of data and couldn’t see a trend, the user experience can greatly deteriorate.Īlt: Premade chart components from Mockplus help simplify your data visualization.Īll in all, data visualization can be beneficial for UX Designers in two main ways: ![]() If visitors see a chart, they quickly see trends and outliers. It can help designers grab visitors’ interest and keep their eyes on the message. A good visualization tells a story, removing the noise from data and highlighting useful information. This is great when it comes to product development, but UX designers need to ensure that they get real insights from the data glut. Why to use data visualization in your UX design?Īs the “age of Big Data” kicks into high-gear, UX designers have access to more data than ever before. If designers efficiently use data visualization, the difficult concepts or new patterns in their design can be easily grasped, which could certainly help to improve the user experience and enhance its conversion rate. It is an element of the broader data presentation architecture (DPA) discipline, which aims to identify, locate, manipulate, format and deliver data in the most efficient way possible. What is data visualization?īy definition, data visualization is the practice of translating information into a visual context, such as in a pictorial or graphical format to make data easier to be understood. ![]() ![]() In this article, we will explore what data visualization is, why designers need to use it, and also share with you the 8 best data visualization tools that empower your businesses to recognize trends, conduct analyses, make informed decisions, and set realistic goals. ![]()
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