Charts and graphs have become embedded in our lives, in the way we manage our businesses, consume news, learn, and buy. Marketers, political parties, news agencies and business data analytics use charts because they command our attention. We are almost twice as likely to read a news story or blog article if there is a chart on the page.
In a new book, Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations, Scott Berinato gives us the researcher’s view of why we react to charts the way we do.
assumptions of which we may not be aware of until we stop to think about them.
North is up; south is down. Up is good; down is bad. Time moves right. Right is good; left is bad. See how confusing the 9-box is when we reverse the directions.
Colors matter in more ways than we can imagine (See Figure 1). Green is good and red is bad, unless red is hot. If it is, according to Berinato, then blue is cool. Orange is dominant,[1] which is why online marketers often use it to induce us to take action.
Color is the most powerful influence in visualization, but it is not the only one. The shape and relative size of objects influence our thinking, as does their position relative to each other. By changing the scale of a chart, you can present a very different picture. The best example we can think of is how news outlets use charts with a very narrow range to dramatize tiny changes in stock prices.
With all of these things to consider and many types of charts, it is easy to understand why charts we see sometimes make little sense. You can follow all the directions in your charting program and fail, just as you can follow all the rules of training delivery and bomb. Tutorials tell you how to create a chart, but few explain in any depth how to build a good one.
In our experience over the past 30 years, we have developed a set of practices that help us use charts to convey the right information to the right people.
Don’t assume that a chart is the best way to present information. Many people, especially Finance-trained executives, want to see summaries and crosstabs. They will grasp complex data if you format it well.
In our next article, we will dig into specific chart types and make a few recommendations on which ones to use in specific situations.
References:
1. Berinato, Scott. Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations. Boston, MA: Harvard Business Review, 2016. Print.
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