![]() ![]() Use the question pyramid you developed in the first step to guide your design layout and information flow. Putting your first element on the page can be daunting, but there are a few hacks that will remove some of the guesswork from the equation. Create your layout using an infographic template ![]() Just think about what you want to emphasize, and pick your chart accordingly.įor more examples and chart best practices, take a look at our full guide on how to choose the best charts for your data. Now, you should have everything you need to pick appropriate charts for each set of data you want to visualize. That’s a quick rundown of our ICCORE method. If you’re a visualization beginner, try to stick to the other choices. Interactive charts like this one that allow for filtering, sorting, and drilling down are the often best choice, but these can be costly and time-consuming to develop. There’s no magic bullet for exploration-the visualization style will really depend on the specifics of your data. You want the reader to explore the data and discover insights for themselves. Make a numerical stat stand out with large, bold, colorful text: You want to convey an important message or data point that doesn’t require much context to understand. Then use the best practices for that goal to find the right chart for your data. First, for each piece of data you want to visualize, determine whether the primary goal will be to: We’ve developed the ICCORE method to help you pick the best charts for your data. Related: How to Choose the Best Types of Charts For Your Data This video summarizes our simple method for picking the best charts for your infographic: Your next step should be to decide how to present that data visually. Now you’ve got the questions you want to answer and the data you need to answer them. Make data visualizations for your infographic To learn more, review our suggestions for conducting your own research, and read our comprehensive guide to data collection. If both of these strategies fail you, you might have to collect your own data. Cool Datasets: A self-proclaimed “place to find cool datasets”. ![]()
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