Common color mistakes and how to avoid them (blog.datawrapper.de)

Article summary

The article provides guidance on choosing colors for data visualizations, emphasizing the importance of avoiding common color mistakes and using a thoughtful approach to color selection. It discusses the use of color wheels, saturation, and lightness to create effective color combinations. The article also touches on the importance of considering colorblindness and ensuring sufficient contrast with the background. By following these guidelines, creators can produce more beautiful and effective data visualizations.

Main themes

• color selection
• data visualization
• presentation style
• trustworthiness
• accessibility
• colorblindness

What commenters say

• Polished presentation can increase trustworthiness, but it's also possible to prioritize style over substance.
• The choice of colors and fonts can impact the perceived credibility of a presentation, even if it's not ideal.
• Excessive reliance on slick presentation can be misleading, and substance should take precedence over style.
• Colorblindness and accessibility should be considered when selecting colors for data visualizations.
• The use of color can greatly impact the effectiveness of a data visualization, and a thoughtful approach is necessary.
• There is a fine line between making a presentation visually appealing and prioritizing style over substance.
• The importance of presentation can vary depending on the context and audience.
• Ultimately, the goal of a data visualization is to effectively communicate information, and color selection should support this goal.