![]() ![]() 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.
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