A ternary chart (also known as a ternary plot or triangle plot), is a type of chart that shows how three variables that sum to a constant relate to each other. It is
often used in fields like chemistry, geology, and economics to represent the composition of a mixture or the relative proportions of three components to each other. A fourth and fifth dimension can
be added to the data by color coding the ternary points according to a gradient or discrete palette and by setting the point sizes in the case of a ternary bubble chart.
The picture shows a ternary point chart (also known as a ternary scatter plot). In this chart, individual data points are plotted within the triangular coordinate system of the ternary plot axes. Each point on the chart represents a combination of three variables, which sum to a constant value. This type of chart is particularly useful for showing how mixtures of three components differ in composition.
Ternary Bubble Chart Seires
A ternary bubble chart is a type of ternary point chart that adds an additional dimension to the data points, which is represented by the size of the points (bubbles).
Sample Table Format
Sample
Sand(%)
Silt(%)
Clay(%)
A
70
20
10
B
40
40
20
C
10
60
30
...
...
...
...
Description Sample ID: Identifies each soil sample.
Sand (%): The percentage of sand in the sample.
Silt (%): The percentage of silt in the sample.
Clay (%): The percentage of clay in the sample.
The table below compares soil compositions by their ingredients. Note that the data implies that the percentages of each component sum to 100%, which is a prerequisite for using Ternary charts.
Best Practices for Using Ternary Charts
Appropriate Data: Ternary charts are only suitable when the data involves three components that sum to a constant value (e.g., percentages adding up to 100%). If the data does not match these requirements then you should use a different charting type.
Maintain Aspect: Ensure the ternary plot maintains an equilateral triangle shape so that distances and angles represent proportions accurately.
Use color wisely: Color can be a powerful tool for highlighting trends or patterns within the data, but it can also be overwhelming if misused. Use color sparingly and ensure that each color has a clear meaning
Provide context: Always provide context for your chart by including a title, axis labels, and a legend. This will help users understand what they are looking at and interpret the data correctly.
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