A Sankey chart is a type of diagram used to visually represent hierarchical and complex data. It is an excellent tool for understanding the flow of resources between different categories and can be used to display data in various forms. In this article, we are going to talk about how to create an engaging sankey chart, which will enable a clear communication of complex data.
The first step to creating a sankey chart is to gather all the data that you want to represent. Make sure that all the data is consistent and that the data sources are reliable and credible. Once you have gathered all the data, the next step is to create a sankey diagram.
To create a sankey diagram, you need to understand the relationship between the data categories. The first category of the sankey diagram should be the source of the data, while the second category should be the destination of the data. You can add more categories as required to represent the flow of data.
The next step is to plot the numbers on the sankey diagram. You can use the following type of bars to plot the data:
bar(
position: "y" %i,
width: "w",
bar: "data",
source: "categories"
),
bar(
position: "y" %i + 1,
width: "w",
bar: "data",
source: "categories"
)
This code will create two sets of bars, one for the source data and one for the destination data. The value for the sankey chart is determined by the width of the bars, which should be proportional to the value of the “data” field.
The final step is to add elements to the sankey chart, such as labels and colors. You can use the text element to add labels to the bars, and the color attribute to add color to the bars. Here’s an example:
“`
sanyke()
.data([
{source: “category1”, data: 10, color: “#FF0”},
{source: “category2”, data: 50, color: “#333”},
{source: “category3”, data: 60, color: “#999”},
{source: “category4”, data:100, color: “#000”},
])
.x(d3.scale.ordinal())
.y(d3.scale.linear())
.height(100)
.tooltip(function(d) {
return d3.select(this).datum().data.tooltip;
})
.on(“end”, function(d) {
return d3.selectAll(“.tooltip”).remove();
})
.on(“mouseover”, function(d) {
return d3.select(this).append(“div”).style(“position”, “absolute”).style(“z-index”, “1”).style(“width”, d.width).style(“top”, function() { return d.yAxisAxis().map(hoverAxis).data()[hoverAxis].length * 20 + “px”; }).style(“left”, function() { return d.xAxis().map(hoverAxis).data()[hoverAxis].length * 20 + “px”; }).text(d3.select(this).datum().data.tooltip);
})
.on(“mouseout”, function(d) {
return d3.select(this).select(“div”).remove();
});
“`
In this example, we have added a tooltip to the sankey chart, which will display the value and color of the bars. The tooltip will hide after a mouseover event, and show after a mouseout event. You can also change the style of the tooltip by adding styles inside the div element.
In conclusion, creating an engaging sankey chart is a simple process that requires gathering data, creating a sankey diagram, plotting the numbers, adding elements, and styling. With these steps, you can create a sankey chart that clearly communicates the data you want to present.
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.
