// Define the dataset var dataset = { name: "TOP LEVEL", children: [ { name: "Level 2: A", children: [ { name: "Son of A" }, { name: "Daughter of A" } ] }, { name: "Level 2: B", children: [ { name: "Son of B" }, { name: "Daughter of B" } ] } ] }; // Define the dimensions for the treemap var width = 500; var height = 300; // Create the treemap layout var treemap = d3.layout.treemap() .size([width, height]) .sticky(true) .value(function(d) { return d.size; }); // Select the div where the chart will be rendered var div = d3.select("div#chart"); // Generate the treemap var node = div.datum(dataset) .selectAll(".node") .data(treemap.nodes) .enter() .append("div") .attr("class", "node") .style("left", function(d) { return d.x + "px"; }) .style("top", function(d) { return d.y + "px"; }) .style("width", function(d) { return d.dx + "px"; }) .style("height", function(d) { return d.dy + "px"; }) .style("background-color", function(d) { return d.color; }) .text(function(d) { return d.name; });In this example, we define a sample dataset with a hierarchical structure, define the dimensions for the treemap layout, create the treemap layout, and then generate the treemap itself using the dataset and layout. We then style the nodes of the treemap using the `left`, `top`, `width`, and `height` properties, set the `background-color` of each node based on the data, and add text labels for each node. The `d3.layout.treemap()` function comes from the d3 package library, which contains numerous functions and utilities for implementing data visualization and analysis tools in JavaScript.