Sankey diagrams are a useful visualization tool for presenting complex data that is difficult to represent using other types of graphs. These diagrams are particularly useful in industries such as energy, finance, and health, where large datasets can be difficult to understand. In this article, we will discuss how to present Sankey diagrams effectively and explore some of the key techniques and insights that can help you create compelling and informative diagrams.
- Understand the Purpose of Sankey Diagrams
Before you can create a Sankey diagram, it is important to understand its purpose. A regular Sankey diagram is a simple, linear representation of the flow of information or money through a complex network of activities or processes. It can be used to show how different sources or targets of a resource flow into or out of a network. In the context of finance, for example, a Sankey diagram might show how different types of loans are distributed among lenders and borrowers.
- Choose the Right Data
Once you have an idea of the purpose and context of the diagram, you can start to collect the relevant data. This may include time series data, categorical data, and numeric data. It is important to have a clear understanding of the data you are working with, and to ensure that your representation is accurate and insightful.
- Choose the Right Type of Sankey Diagram
There are three main types of Sankey diagram: basic Sankey diagram, network Sankey diagram, and directional Sankey diagram. Basic Sankey diagrams are line graphs that show the flow of a single resource or variable through a network, with each node representing a distinct source or target. Network Sankey diagrams extend the basic diagram to include multiple resources or variables, and add directional arrows to indicate the direction of flow. Directional Sankey diagrams are similar to Network Sankey diagrams, but include arrows that indicate the flow of resources or variables across the network.
- Use Clear and Simple Labels
Labels are essential in Sankey diagrams to help the viewer understand the meaning of each node and line. It is important to use clear and simple labels that are easy to read, and to avoid cluttering the diagram with too much text. When choosing the color and font for each label, it is important to ensure that it is readable and that the colors and fonts are easy on the eyes.
- Use Interactivity
Interactive Sankeys can be a powerful tool for conveying complex concepts and conveying the flow of data. However, they can also be difficult to use effectively, and it is important to make sure that your diagram is user-friendly. Use simple buttons and interactive features to guide the viewer through the diagram, and consider the size and placement of each node and line to ensure that they are easy to see and understand.
- Use High-Quality Data
Sankey diagrams are primarily about data, and the quality of the data is critical. It is important to ensure that the data you are working with is high-quality, using accurate and relevant data points. This is particularly important when you are dealing with financial data, as well as data on social and environmental issues.
- Consider Alternative Techniques
Sankey diagrams are not the only technique for visualizing complex data. There are many other techniques available, such as heat maps, flow charts, and heatwaves. Consider using these other techniques to capture different aspects of your data and present it in a way that is most engaging and useful for your audience.
In conclusion, Sankey diagrams are a useful and powerful tool for visualizing complex data. By following these tips, you can create compelling and informative Sankey diagrams that convey the meaning and significance of the data you are working with. Remember to focus on choosing the right data, making clear and simple labels, using interactive features, and using high-quality data to create effective and engaging Sankey diagrams.
SankeyMaster
SankeyMaster is your go-to tool for creating complex Sankey charts . Easily enter data and create Sankey charts that accurately reveal intricate data relationships.
