Color Theory for Report Designers and Data Analysts

In this video, Allison explains color theory. She goes into the main principles of color, why some color combos work well, and how colors can be combined into a color palette for Power BI reports.

Links Mentioned in Video:

http://www.colourlovers.com/

https://coolors.co/

http://colorschemedesigner.com/

https://color.adobe.com/explore

Colorblind options - https://colorbrewer2.org/#type=sequen…

Color Theory for Report Designers and Data Analysts?

Color theory is the study of how colors interact with each other and how they can be used effectively in design. It is important for report designers and data analysts because color can be used to convey information, highlight important data points, and create visual interest.

There are several key concepts in color theory that are relevant for report designers and data analysts.

These include:

1. Hue: This refers to the actual color itself, such as red, blue, or green.
2. Saturation: This refers to how intense or pure the color is. A highly saturated color is very vivid, while a less saturated color is more muted.
3. Value: This refers to the lightness or darkness of a color.
4. Color harmonies: These are combinations of colors that are pleasing to the eye and create a sense of balance. Some common color harmonies include complementary colors (opposites on the color wheel), analogous colors (colors next to each other on the color wheel), and triadic colors (three colors that are equidistant on the color wheel).

When designing reports and visualizations, it’s important to consider the use of color carefully. Too many colors can be overwhelming and distract from the data, while too few can make the visualization appear dull. Additionally, certain colors may have cultural connotations or associations that should be taken into account when designing for a global audience.

Overall, understanding color theory can help report designers and data analysts create more effective and engaging visualizations that effectively communicate the intended message to their audience.<