Sankey charts are a type of flowchart that are particularly useful for visualizing and analyzing the flow of materials, information, or energy. They were invented by an engineer named J.W. Sankey in the late 19th century and have been used in a variety of applications over the years.
One of the key features of Sankey charts is their ability to show the relative flows between different nodes or streams. This makes them particularly useful for visualizing and analyzing complex systems, such as supply chains, financial flows, or energy networks.
To create a Sankey chart, you will need to follow a few steps:
- Identify the nodes or streams that you want to visualize in the chart. These can represent different processes, inputs, outputs, or entities.
- Determine the direction of each flow by adding arrows to the chart. The arrows should indicate the direction of the flow, starting at the input node and ending at the output node.
- Use labels and colors to differentiate between different nodes or streams. This can help to make the chart easier to read and understand.
- Use the chart to explore the flow of materials, information, or energy. You can use filters or drill-down mechanisms to explore specific sub-flows or paths in the chart.
There are many different software tools that you can use to create and customize Sankey charts. Some popular options include Microsoft Visio, Lucidchart, and SmartDraw. These tools typically include a wide range of customization options, such as the ability to add shapes, images, and data visualizations to the chart.
Sankey charts are a powerful tool for process visualization and analysis. They can help you to better understand and optimize complex systems, and can be used in a wide range of applications. With the right software and a little bit of creativity, you can unleash the full power of Sankey charts for your data visualization needs.
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.
