Sankey charts are a powerful visual data visualization tool that can be used to display complex relationships between different groups of data. Unlike other types of charts, such as bar charts or line charts, Sankey charts enable you to “draw” the relationships between your data rather than simply presenting it as a static picture.
Sankey charts can be used for a wide variety of applications, including presenting network data, displaying flow diagrams, and analyzing relationships between different variables. In this article, we’ll explore how to create a simple Sankey chart using the Python programming language and the Sankeypy library, and we’ll discuss some of the applications that Sankey charts can be used for.
Sankeypy is a Python library that makes it easy to create Sankey charts. The library includes a set of functions for creating the diagram, as well as various customization options such as changing the colors of the bars, adding labels to the arrows, and changing the font size.
To create a Sankey diagram using Sankeypy, you’ll first need to load your data into the library. In this example, we’ll create a simple diagram for five variables (a,b,c,d,e) that are used to show the flow of customers through a company. The data is stored in a dictionary called “flow”. The keys of this dictionary are the variables, and the values are a list of tuples. Each tuple represents a flow between two variables, with the first element being the source variable and the second element being the destination variable.
Here’s some sample data in Python:
python
flow = {
"a": [1],
"c": [1],
"d": [1],
"e": [1]
}
“`python
Create an instance of the SankeyPlot class and pass the flow data to it
plot = SankeyPlot(figure_size=(6, 4),
flow=flow)
“`
“`python
Use the plot function to create the diagram
plot.plot()
“`
This will create a Sankey diagram with the data shown below:
from
9000 to a 1000
/ |
/ |
c----------d
| |
|----------e
As you can see, the diagram shows the flow of customers (the numbers) between the variables (the nodes). You can also add labels to the arrows using the add_annotation method.
Now, let’s talk about some of the applications for which Sankey charts can be used.
One of the most common uses for Sankey charts is to present data in a network format, such as a flow chart or a supply chain diagram. Sankey charts are great for visualizing complex relationships between different variables, and they can help you identify patterns and relationships within your data.
Another use for Sankey charts is to analyze data flows in a database or organizational chart. For example, you might have a diagram that shows the flow of information from one department to another, or you might have a diagram that shows the flow of resources such as money or personnel from one department to another.
Sankey charts can also be used to present temporal data, such as a timeline or a bar chart that shows the flow of time. For example, you might have a diagram that shows the flow of data through a company over time, or you might have a diagram that shows the flow of clients through a marketing campaign.
In conclusion, Sankey charts are a powerful and flexible tool for visualizing complex relationships between variables. By using the Sankeypy library, you can create beautiful and informative diagrams that help you understand data in new and interesting ways.
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.
