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Visualizing Principles You Need to Know




The main purpose of designing information is to create data displays that consider what our eyes are good at seeing and what they struggle with, to make it simple to visually find answers.


Good visualizations enhance and assist our thinking, and make it easy to pull out information and compare data, without overloading our memory. Visuals can show information in a way that's simple to grasp, which would be tough or even impossible to do with just text.






1. Consistency


Consistency is crucial in information design. Any changes in the design of charts or visuals might lead viewers to think there are changes in the data, which can be misleading if those changes are just due to design inconsistencies. The design elements should be consistent not only within a single chart but also across all visuals in a document or presentation.




2. Context


Context is vital in visual communication. You should always consider who your audience is. It's also crucial to know where and when they'll see your graphic. These different situations call for different design choices. Think about your goal: is it to increase their knowledge, persuade them to buy something, or convince them to support a cause? These factors heavily influence how you should present your visual information.




3. Simplification

Simplifying data in a visualization can make it easier to understand. You often have more data than you can use, and by removing irrelevant details, the remaining information is easier to process.




4. Comparison


Visualizations are essentially tools for comparison. The main question to answer when designing a visualization is what should be compared. A chart becomes meaningful through comparison; without it, the visualization would be pointless.




5. Visual Ordering


The visual arrangement of data, also known as visual ordering, plays a crucial role in how the information is understood. There are various methods of organizing information, and each principle can uncover unique patterns within the data.




All of these points are covered in much more detail in the Information Design course. If you want to continue reading, unlock the course and start your information design journey.


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