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How we Choose the Colors for our Dashboard

Choice of color is a major factor in creating effective charts. A good set of colors will highlight the story we want the data to tell, while a poor one will hide or distract from a visualisation’s purpose.

In this article, we will describe the types of color palette that are used in our data visualisations.

We provide users with an overview of the safest and best performing DeFi projects across the entire BSC ecosystem. Our dashboard allows users to track their investments and analyse their portfolio performance. For this reason it is absolutely essential that the data is clear and well displayed.

Even though color is an important part of data visualization, it’s wise to exercise restraint and only use color where it is appropriate. Not every chart we create will require multiple colors. If we have only two variables to plot, we will be encoded by vertical and horizontal positions or lengths. Color usually only comes in when a third variable needs to be encoded into a chart or if it’s a component of a specialist chart like a pie chart.

As in our dashboard we include multiple charts, we’ll match colors between charts only when they refer to the same group or entity.

The ability to distinguish differences in color is weaker than that of position or length, so we are already at a disadvantage for associating color to precise values.

Our good set of colors will make it that much easier to deliver the desired message to our audience.

(Part of this article was originally published on Nightingale, journal of the Data Visualization Society.)



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