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Tree Map Chart

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.

Sample Table Format

SampleSand(%)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 data is organized into groups and subgroups in this table, with a corresponding value for each subgroup. This table format can be easily visualized using a TreeMap Chart Series, with each group represented as a large rectangle and each subgroup represented as a smaller rectangle within the group rectangle. The size and color of each rectangle can be customized to reflect the value of the subgroup, making it easy to identify trends and patterns within the data.

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.
  • Keep it simple: The TreeMap Chart Series is a powerful tool, but avoiding cluttering the chart with too much information is important. Stick to a few key variables and try to make the chart as easy to understand as possible.
  • 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.