Color Palettes for Quantitative Data
It’s observed that to show quantitative data with its specific colors, it should maintain its harmony with changes in saturation or lightness levels. The two types of color harmony are:
- Sequential Color Ramp: It is used to show the change in the values ranging from zero to the maximum count. Here, we use a monochromatic or single-hued palette. It is the process where the lower value is represented by a color that matches the background of the chart, and the highest color matches the key color by having a 50% lightness and a 100% saturation. We have smooth as well as stepped types of palette for more precision and attention to the audience.
- Diverging Color Ramp: It is used to show changes in value with a range and its relevant midpoint. In other words, we can say it seems to be two sequential ramps facing opposite directions that are stitched together to form our tail-to-tail for our data’s natural midpoint. Here, we use a dichromatic or two-hued palette. It is the process where we assign the key color as positive, the complement as negative, and use a neutral gray color for the midpoint (in the case when tails are stitched together).
How to select Colors for Data Visualizations?
Data visualization is one of the crucial steps in machine learning which therefore helps the analyst to explain the process of visualizing the data in an interactive and efficient way.
We have a variety of data visualization approaches in machine learning which includes line charts, bar charts, heat maps, box plots etc. but deciding on which color to choose for conveying better visualization is need to be considered.
In this article, let’s understand the requirement of colors for correct data visualization.
Table of Content
- Understanding Color Palette
- Components and Properties of Colors
- How are Colors related to Temperature?
- Types of Color Palettes
- 1. Qualitative Color Palette
- 2. Sequential Color Palette
- 3. Diverging Color Pallette
- Popular Color Palettes
- Selecting Primary Color
- Color Palettes for Comparing Objects
- 1. Pallettes Used to Compare Two Objects
- 2. Palettes Used to Compare Three Objects
- 3. Palettes Used to Compare Four Objects
- Color Palettes for Quantitative Data
- Advantages of Color Theory – Selecting Right Color for Visualization
- Importance of Background Colors
- Best Practices for Selecting Right Color