[ENG] Designing with Data: The Art and Science of Data Visualization Selection | Denis Rybin

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When we talk about high-loaded interfaces, internal portals and so on, we always imagine graphs, tables, timelines, kanbans and similar interface elements.When working on such projects, you realise that most of the elements don't fit the tasks users need to complete, or they fit, but they could be made even better. There are 1000's of guides on the Internet on how to make the visualization better, but there are almost no guides on how to choose the approach and why it's important. That is what determines how users interact with the product and the profit of the company. The goal: To help designers find the right approach to display information, to listen and hear users, and to understand their challenges and pains. To show examples of how the same information looks in one way or another, and what features can help improve it.