![]() Take a look at the following tips and try to apply at least some of them the next time you’re working on a visual representation of data. Now that we’ve established why data visualization is important and useful, it’s time to lay a framework for effective graph design that will prove to be a difference-maker in terms of reaching the audience with your message. Vision is perhaps the most well-suited sense for the purpose of information processing so encoding intricate data points visually is a good strategy for anyone looking to obtain quality insights. Thus, it’s crucial that the numbers we’re trying to process are served in a form better adjusted to our perceptive systems. The problem with data analysis is that it can quickly get too complicated for humans. Why visualize information as a graph in the first place? ![]() Before I move on to discussing them, let’s make sure we understand. Regardless of what exactly you’re aiming for with your visual data representation, there are several fundamental rules you should observe in order to make the most of it. Stay with me to learn how to make a good graph that actually makes an impact.Ī badly designed chart can not only be an eyesore, but also lead to imprecise or incorrect conclusions. You’ll have to account for various factors in order to develop a useful chart. The way you create these graphic representations of information will be affected by their exact purpose and the medium they’ll appear on. ![]() From business reports to television to sports and games, they serve to present often complex data in an easily digestible form. Charts and graphs have become a staple in many areas of our day-to-day activity.
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