Old school D3 from simpler times

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MelanieSalignat

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Data Mining

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<!DOCTYPE html>
<meta charset="utf-8">
<style>

.links line {
  stroke: #999;
  stroke-opacity: 0.6;
}

.nodes circle {
  stroke: #fff;
  stroke-width: 1.5px;
}

</style>
<svg width="960" height="600"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>

var svg = d3.select("svg"),
    width = +svg.attr("width"),
    height = +svg.attr("height");
 
var color = d3.scaleOrdinal(d3.schemeCategory20);
  
var tooltip = d3.select('body').append('div')
            .attr('class', 'hidden tooltip');

var simulation = d3.forceSimulation()
    .force("link", d3.forceLink().id(function(d) { return d.artist; }))
    .force("charge", d3.forceManyBody().distanceMax(200))
    .force("center", d3.forceCenter(width / 2, height / 2));
  
/* d3.csv("recommandations.csv", function(data){
  // console.log("data " + data[2].Antecedent)
    var links = [];
    var nodes = new Set();
    for (var i=0; i< data.length; i++){
      // spliter Consequence avant de parcourir les données
      for (var j=0; j<10; j++){
        links.push({source: data[i].Antecedent, target: data[i].Consequence[j], value: data[i].Value[j]})
        nodes.add(data[i].Consequence[j]);
      }
      nodes.add(data[i].Antecedent);
    }
  
  var nodesArray = Array.from(nodes).map(function(e){return {film: e}});
  
  for (i=0; i<nodesArray.length; i++){
    recommandations=[];
    for (j=0; j<links.length;j++){
      if (nodesArray[i].film == links[j].source){
        recommandations.push(links[j].target)
      }
    }
    nodesArray[i].rec = recommandations ;
  }

var link = svg.append("g")
		.attr("class", "links")
    .selectAll("line")
    .data(links)
    .enter().append("line")
		.attr("stroke", "grey");
  
  var node = svg.append("g")
    .attr("class", "nodes")
    .selectAll("circle")
    .data(nodesArray)
    .enter().append("circle")
    .attr("r", 7)
    .attr("fill", "grey")
    .style("opacity", 0.5)
    .call(d3.drag()
			.on("start", dragstarted)
			.on("drag", dragged)
			.on("end", dragended))
  
  	.on("mouseover", function(d) { 						// d = nodesArray[this]
      var mouse = d3.mouse(svg.node()).map(function(d) {
        return parseInt(d);
      });
      d3.select(this)
        .style("fill", "red")
        .attr("r", 20)
        .style("opacity", 1)
      for (j=0; j<d.rec.length; i++){
        for (k=0; k<nodesArray.length; k++){
          if (d.rec[j] == nodesArray[k].artist){
            d3.select(nodesArray[k])
            	.style("fill", "red")
          		.attr("r", 15)
          		.style("opacity", 1)
          }
        }
      } 
            
        
     /*tooltip.classed('hidden', false)
      	.attr("y", this.y)
        .attr("x", this.x)
        .attr('style', 'left:' + (mouse[0] + 15) + 'px; top:' + (mouse[1] - 5) + 'px')
      	.style("text-anchor", "start")
      	.style("font-size","25px")
        .style("font-weight", "normal")
      	.html("Artiste : " + d.artist + "<br>Tags : " ) 
    })
  
		.on("mouseout", function(d){ 
    	d3.select(this).style("fill","grey").attr("r", 7).style("opacity",0.5)
      tooltip.classed('hidden', true);
    }) ; 
  
   
  node.append("title")
      .text(function(d) { return d.film; });
  
  simulation
      .nodes(nodesArray)
      .on("tick", ticked);

simulation.force("link")
      .links(links);
 
  function ticked() {
    link
        .attr("x1", function(d) { return d.source.x; })
        .attr("y1", function(d) { return d.source.y; })
        .attr("x2", function(d) { return d.target.x; })
        .attr("y2", function(d) { return d.target.y; });

node
        .attr("cx", function(d) { return d.x; })
        .attr("cy", function(d) { return d.y; });
  } 
  
  }) */ ; 
  
  function dragstarted(d) {
  	if (!d3.event.active) simulation.alphaTarget(0.3).restart();
	  d.fx = d.x;
  	d.fy = d.y;
}

function dragged(d) {
  	d.fx = d3.event.x;
  	d.fy = d3.event.y;
	}

function dragended(d) {
  	if (!d3.event.active) simulation.alphaTarget(0);
  	d.fx = null;
  	d.fy = null;
}

</script>

https://d3js.org/d3.v4.min.js