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Religious Distribution Tree Visualization

\n \n\n","index.js","// Define the religious data\nconst data = {\n name: 'India',\n children: [\n {\n name: 'Hinduism',\n value: 13,\n type: 'blue',\n level: 'green',\n children: [\n {\n name: 'Andhra Pradesh',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Arunachal Pradesh',\n value: 2,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Assam',\n value: 4,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Bihar',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Chhattisgarh',\n value: 2,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Goa',\n value: 2,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Gujarat',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Haryana',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Himachal Pradesh',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Jharkhand',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Karnataka',\n value: 4,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Kerala',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Madhya Pradesh',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Maharashtra',\n value: 4,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Manipur',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Meghalaya',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Mizoram',\n value: 2,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Nagaland',\n value: 2,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Odisha',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Punjab',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Rajasthan',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Sikkim',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Tamil Nadu',\n value: 4,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Telangana',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Tripura',\n value: 2,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Uttar Pradesh',\n value: 4,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Uttarakhand',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'West Bengal',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n ],\n },\n {\n name: 'Islam',\n value: 13,\n type: 'blue',\n level: 'green',\n children: [\n {\n name: 'Bihar',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Delhi',\n value: 2,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Jammu and Kashmir',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Uttar Pradesh',\n value: 4,\n type: 'red',\n level: '#863a9f',\n },\n ],\n },\n // repeat for christianity\n {\n name: 'Christianity',\n value: 13,\n type: 'blue',\n level: 'green',\n children: [\n {\n name: 'Andhra Pradesh',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Goa',\n value: 2,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Kerala',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Meghalaya',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Mizoram',\n value: 2,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Nagaland',\n value: 2,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Sikkim',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Tamil Nadu',\n value: 4,\n type: 'red',\n level: '#863a9f',\n },\n {\n name: 'Telangana',\n value: 3,\n type: 'red',\n level: '#863a9f',\n },\n ],\n },\n ],\n};\n\n// Define width, height, and margin of the tree\nconst margin = {\n top: 20,\n right: 250,\n bottom: 200,\n left: 200,\n};\nconst width = 950 - margin.left - margin.right;\nconst height = 850 - margin.top - margin.bottom;\n\nconst tree = d3.tree().size([height, width]);\n\n// Assign hierarchical structure to classify the data\nlet nodes = d3.hierarchy(data, (node) => node.children);\n\n// Provide data connection for nodes to their respective position in the tree\nnodes = tree(nodes);\n\n// Check if SVG already exists\nconst svgExists = d3.select('svg').empty();\n\n// Add an svg element if it doesn't exist\nif (svgExists) {\n const svg = d3\n .select('body')\n .append('svg')\n .attr('width', width + margin.left + margin.right)\n .attr('height', height + margin.top + margin.bottom);\n const g = svg\n .append('g') // appends group\n .attr(\n 'transform',\n 'translate(' + margin.left + ',' + margin.top + ')',\n );\n\n // Define links between nodes\n const link = g\n .selectAll('.link')\n .data(nodes.descendants().slice(1))\n .enter()\n .append('path')\n .attr('class', 'link')\n .style('stroke', (d) => d.data.level)\n .attr('d', (d) => {\n return (\n 'M' +\n d.y +\n ',' +\n d.x +\n 'C' +\n (d.y + d.parent.y) / 2 +\n ',' +\n d.x +\n ' ' +\n (d.y + d.parent.y) / 2 +\n ',' +\n d.parent.x +\n ' ' +\n d.parent.y +\n ',' +\n d.parent.x\n );\n });\n\n // Declare a group for each node present in the tree\n const node = g\n .selectAll('.node')\n .data(nodes.descendants())\n .enter()\n .append('g')\n .attr(\n 'class',\n (d) =>\n 'node' +\n (d.children ? 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