When the value, on which you are planning to base your visualization, is categorical by nature, a qualitative palette should be used. What are you planning to achieve with this data visualization? Once you answer this, you can easily choose the purpose of your data visualization – and as a result, the accurate colors palette. That is why the first thing you need to answer is – what is the main goal of your data visualization. Remember, the type of color palette that you decide to go for in your reports highly depends on the nature of the data that should be identified with that color. The palettes of color that we commonly use for data visualization can be divided into three general categories: Tableau Desktop Specialist elegant Color Practices Three General Types of Color Palette Knowledge of aesthetic visualizations with appropriate colors is important for various Tableau Certifications as well like the Desktop Specialist and Data Analyst. Let’s learn together the importance of color and become proficient in choosing a color that will get the best out of our visualizations. Also, we will include some general tips and best practices when working with color. In this article, we will focus on defining the types of a color palette that we can use while creating data visualization in Tableau. Read more: Funnel Chart – A Complete Tableau Guide » The story that you want your data to tell will be highlighted by a good selection of colors, while a bad one will distract the user from the actual purpose of the visualization. Choosing your color is a significant factor in the development of powerful charts in Tableau.
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