Besides using the Color Marks Card in Tableau, Colors play an essential role in understanding your data visualizations. Show
Learning to format your view with correct and appropriate colors can make the difference in your audience being able to analyze and gather insight about your data. Using Tableau Color ToolsQualitative value fields figure 1 By dragging and dropping a field with discrete values (typically a dimension) into the Color Marks card, you can assign a color to each value of the field (fig 1). You can then customize your view with Categorical palettes that are appropriate for your fields. figure 2 Quantitative value fields You assign a color to a continuous value field (typically a measure) by dragging it to the Color Marks card. Tableau then displays a legend with a continuous range of colors, for example, the number of sales (fig 3). figure 3 You can change the colors used in the range, To edit colors, click on the down arrow in the upper right of the color legend and select Edit Colors from the menu (fig 4). figure 4 Diverging Color Scales In the case of diverging colors, think of your scale as two sequential scales that share a low value, and in which you can modify the distribution of color, and other properties such as Stepped Color, and Reversed to change the order of your scale (fig 5). Access additional options by selecting the Advanced button to determine a Start, End and Center (fig 6). The Start value represents the lower limit in the range, the End value is the upper one, and the Center is the position of your mid-point on the scale. figure 5 figure 6 What to consider when choosing colors?
When creating your visualizations, it is important to think of the usefulness of colors for your graphs, and priority should be given to encoding your Dimensions and Measures fields using the color marks. Besides making it easier to differentiate each category in your analysis, Colors allows you to highlight patterns as well as interrelationships within your data, however, some design principles should be respected.
Source: Storytelling with data
A light tint of color for lower value in the range, and a dark one for the higher values. This is because, by convention, we tend to associate a lighter color with light density or lower numbers, and darker colors with higher density or higher numbers in a range.
Source: Storytelling with data
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Author Bio:This post was written byFaycal Bouguir, Faycal is a UX & Data Visualization/Infographics specialist based in NYC. He teaches Data Visualization using Tableau at the Career Centers. What are the best colors for data visualization?When you're trying to highlight something important, such as data relevant to a particular county or zip code, a bright or saturated color can help it stand out. You may choose to use gray for less-important variables and a deep red or orange for the most important variable, for example.
What is the best representation to show relationship between two factors in Tableau?Scatter Plot
Scatter plots are an effective way to investigate the relationship between different variables, showing if one variable is a good predictor of another, or if they tend to change independently. A scatter plot presents lots of distinct data points on a single chart.
When using Tableau people can control what data they see in a visualization This is an example of Tableau being _____?People being able to control what data they see is an example of Tableau being interactive.
What feature is unique to Tableau?Advanced Visualization Capabilities
Tableau allows you to create visualizations as simple as a bar chart or a pie chart, as well as more complex ones like a histogram, Gantt chart, Bullet chart, Motion chart, Treemap, Boxplot, and many others.
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