The Art of Sankey Charts: Visualizing Data Flow and Transformation

Sankey charts, also known as flowcharts, are a type of diagram used to show the flow of a substance, idea, or entity through a process. They are named after their creator, H.C. Sankey, who developed the technique in the late 19th century. Sankey charts are an excellent way to visualize complex data and understand its flow and transformation.

Creation of Sankey Charts

Sankey charts can be created using various software programs, such as Microsoft Excel, Lucidchart, and SmartDraw. To create a Sankey chart, you will need to follow these steps:

1. Identify the source and destination of the flow.
2. Choose the type of flowchart you want to create (e.g., funnel, account, or material flow chart).
3. Gather the data you want to visualize in the chart.
4. Create a layout for the chart, including the flow lines, nodes, and branches.
5. Add data to the chart, including the sources, destinations, and flow rates.
6. Customize the chart as desired (e.g., change colors, add annotations, or format the chart edges).

Applications of Sankey Charts

Sankey charts have a wide range of applications in various fields, including finance, marketing, and manufacturing. Some of the common applications of Sankey charts include:

1. Displaying the flow of funds or goods through a supply chain.
2. Visualizing the transfer of data or information between departments or teams.
3. Showing the conversion of inputs into outputs in a manufacturing process.
4. Demonstrating the movement of energy or resources through an ecosystem.
5. Presenting the distribution of customers or products in a market.

Sankey charts provide a clear and concise way to visualize complex data and understand its flow and transformation. They are an excellent tool for making sense of large amounts of information and helping to identify opportunities for improvement or optimization. In conclusion, the art of Sankey chart creation is an essential skill for anyone looking to effectively visualize and analyze data.

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