Sankey charts are a type of data visualization software that allow data creators to explore complex relationships between different elements. These charts are ideal for highlighting the flow and direction of data, and are a useful tool for those seeking to uncover hidden patterns in their data. In this article, we will explore the basics of Sankey charts, explain their applications, and provide tips for creating effective Sankey charts.
What are Sankey charts?
Sankey charts are a type of data visualization software that use a node or vertex for each element in the data and a line or channel for each flow. Each line can be depicted as a different color, size, or shape to show the direction of the flow within the data. By combining different colors, sizes, and shapes, Sankey charts can convey complex relationships between different elements of data.
Application of Sankey charts
Sankey charts are widely used in business and data science fields due to their ability to reveal hidden patterns and relationships in data. Here are some of the applications of Sankey charts:
1. Finding Flow Patterns: Sankey charts can help identify flow patterns and relationships in large datasets, particularly those where elements are interconnected and complex. These charts can also help uncover hidden pathways and modes of operation within data.
2. Understanding Supply and Demand: Sankey charts can help understand the supply and demand relationships in a business by showing the flow of raw materials and final products. For industries where there is a significant increase or decrease in demand for specific products or services, the Sankey chart can help identify the source and destination of those products or services.
3. Analyzing Time Series Data: Sankey charts can be used to represent data on a time series. This makes it easier for users to identify trends and patterns in trends. As well, they can identify relationships between different flows by observing how the flow of one flow changes as the flow of another flows.
Tips for creating Sankey Charts
Creating effective Sankey charts requires a good understanding of your data and the relationship between the elements you are presenting. Here are some tips for creating effective Sankey charts:
– First, identify the elements that you want to represent in the chart. Each element should be labeled with a meaningful description and drawn in a way that makes it easy to perceive at a glance.
– If you are working with large datasets, you might find it helpful to break up elements of the data into subgroups. For example, you can group elements based on their geographical location, and show them in separate compartments or nodes.
– Use different colors, sizes, and shapes to represent the direction and flow of each element. Be consistent with the color and size used for lines to make it clear which elements are connected and which are not.
– Make sure to label each element separately. This helps users identify the elements and understand where they are located in the data.
– Don’t forget to add annotations to the chart to highlight the direction and flow of the data. Annotations can also be used to provide additional comments on the data or to add context to the chart.
Conclusion
Sankey charts are a powerful tool for discovering hidden patterns and relationships in data. By using the right colors, shapes, and annotations, users can create effective, engaging Sankey charts that make it easy to identify complex relationships and patterns in large datasets. Whether you are a beginner or an experienced data analyst, learning how to use Sankey charts can transform the way you examine and analyze data.
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.
