Sankey chart is a type of flowchart that can be used to illustrate complex data flow. It is a popular tool for understanding the relationships between different elements in a system, such as energy, materials, or information. This article will provide a visual guide to understanding how to create and use sankey charts, as well as their applications in various fields.
A Sankey Chart Creation
To create a sankey chart, you will need a dataset that contains information on the flow of data or resources. The data can be organized into a table, with columns for each type of resource or data flow, and rows indicating the direction of the flow. For example, if you want to create a sankey chart for a company’s sales data, you would organize the data in a table like this:
| Sales Source| Direction| Sales Amount|
| — | — | — |
| Product A | Upstream| 200000 |
| Product B | Downstream| 300000 |
| Product C | Upstream| 400000 |
| Product D | Downstream| 300000 |
| Product E | Upstream| 200000 |
Once you have your dataset organized, you can create your sankey chart using a Sankey charting software or software that can export data into a graphic format, such as Microsoft Excel or Tableau. A sankey chart is created by connecting the data points with lines, with the direction of the flow indicated by the color of the lines. The size of the lines represents the amount of flow, with larger lines indicating more flow than smaller ones.
Creating a sankey chart can be done as a standalone tool or as part of a larger visual storytelling. You can create a sankey chart without any background or text, and use it for analysis and visualization. You can also use sankey charts alongside other visualizations such as bar graphs or pie charts to create a comprehensive overview of a complex system.
Applications
Sankey charts can be used in a variety of fields, including engineering, environmental science, economics, and social science. They can be used to visualize the flow of information or resources in different sectors or in different geographical locations. Sankey charts can also be used to reveal patterns and trends in complex data, and to detect anomalies or outliers.
Sankey charts can be used to create visualizations of the flow of information or resources in different sectors or in different geographical locations. For example, a company’s sales data can be visualized to show the flow of product A and product B. This can be used to identify the top-selling products and to optimize the sales process. A country’s migration data can be visualized to show the flow of people between different locations, which can be used to understand the migratory patterns and identify potential areas of improvement in border management.
Sankey charts can also be used to reveal patterns and trends in complex data. For example, a company’s production data can be visualized to show the flow of resources and materials used, which can be used to identify areas for cost reduction or to optimize the supply chain. A government’s tax data can be visualized to show the flow of revenue and revenue sources, which can be used to identify areas for improvement in tax collection or to develop tax policy.
Conclusion
Sankey charts are a powerful tool for visualizing and understanding complex data flows. They allow for the visualization of relationships between different elements in a system, which can be used to identify patterns and trends, optimize processes, and develop policy. Creating sankey charts is relatively straightforward, and there are many resources available for creating sankey charts, such as online chart tools. With the right data and the right charting software, sankey charts can be used to reveal important patterns and trends, and to help decision-makers make informed decisions.
To learn more about sankey charts and their applications, visit https://www.scribd.com/doc/55474119/Sankey-Chart-Examples-and-Ap-Applications.
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.
