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 convey coldness, calm, or logic, depending on the context. Different shades of a single primary color can convey vastly different meanings and emotions.

Two or more colors together can have a profound effect on one another. They can be complimentary, or work in juxtaposition.

In data visualization, color sets the tone and enforces a message for the underlying visual display. It creates a certain atmosphere and can turn an unassuming visualization into an emotion-filled data story.

Of all the design elements in a given data visualization – the headings, the analysis, the comparisons, and so on – color is arguably one of the most important and can speak to your audience in many ways.

In this session we will learn:
- The role that color theory plays in data visualization and storytelling
- How to use color to improve data visualizations
- How colors affect your audience's understanding of data visualizations
- How to use color intentionally to help guide your audience
- Best practice for colors that people with color vision deficiency can interpret

In data visualization, color sets the tone and enforces a message for the underlying visual display. It creates a certain atmosphere and can turn an unassuming visualization into an emotion-filled data story.

Of all the design elements in a given data visualization – the headings, the analysis, the comparisons, and so on – color is arguably one of the most important and can speak to your audience in many ways.

In this session we will learn:
- The role that color theory plays in data visualization and storytelling
- How to improve data visualizations using color
- How colors affect your audience's understanding of data visualizations
- How to use color intentionally in data visualization
- Best practice for colors that people with color vision deficiency can interpret