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.

Colors are an effective medium for communicating meaning. Some have certain implicit psychological associations. Red, for example, is often associated with power, love, and anger. Blue might ...

Key Points Data visualization is key to the decision-making needed in Lean Six Sigma. Tools should be selected based on ease ...

Size difference is the most obvious way that a visualization can convey the hierarchy of data and information. Other ways to create hierarchy include the use of color and position on the page.

if you use the tool consistently. Yet often analysts need to combine data found in one platform with other data or into a calculated metric. That will change their visualization choices.

maps and reports for your business or organization – or if you’re thinking about pursuing data visualization as a career or personal hobby. Businesses large and small use data every day to ...

Not every data visualization is used in making critical medical calls, but rainbow colors may mislead when journalists use them to incorrectly show quantitative data. “Rainbow colors are not bad ...

Data Points is ... stock market charts use green for negative values and red for positive ones.” Even Americans and Europeans have their differences when it comes to color.