Data visualization is the presentation of data in a graphical format such as a plot, graph, or map to make it easier for decision makers to see and understand trends, outliers, and patterns in data.

U.S. Department of Labor; Presenting Effective Presentations with Visual Aids; May 1996 Hewlett Packard; The Power of Visual Communication; July 2004 Advertisement Article continues below this ad ...

For more examples of visualizations that can be built using a Weave platform, see one planner’s MetroBoston DataCommon gallery. In addition, I wrote following a presentation at Northeastern ...

Remember: Data visualization is designed to make information more easy to understand. Always make sure that your data visualizations are simplifying things for your audience, not complicating them. 2.

Certain shapes and images have a psychological meaning you can weave into your presentation. For example, an octagon to American audiences is associated with stopping, and a six-pointed star with ...

5. Aesthetics matter. Aesthetics—the use of the right visual size, typography, flow and color—can significantly bolster data visualization. Some recommendations include the following.

Once again, I have multiple topics in this newsletter. This time they both involve ways to handle content with the goal of getting the greatest visual impact. Since the commercialization of the ...

Another example is this visualization published by Business Insider, which seems to show the opposite of what’s really going on: At first glance, it looks like gun deaths are on the decline in ...