D3.js从csv的气泡图

Question

我有一个D3强制布局，标签的工作非常好，这要感谢Stack Overflow用户。我的结果jsfiddle在这里https://jsfiddle.net/TimBrighton/wLuoqynb/

现在我需要转换输入，以便它可以接受csv文件，而不是此示例中的“生成”节点。 CSV我会猜测只有“标题”，“半径”值。我一直在使用这种功能的修改版本尝试了一段时间，但它只是不工作：

d3.csv("data.csv", function(error, data) { 
    if (error) throw error; 

    data.forEach(function(d) { 
    d.date = format.parse(d.date); 
    d.value = +d.value;   
    }); 

我当前的代码是在这里：

var width = 960, 
    height = 500, 
    padding = 1.5, // separation between same-color nodes 
    clusterPadding = 6, // separation between different-color nodes 
    maxRadius = 40; 
    minRadius = 20; 

var n = 50, // total number of nodes 
    m = 5; // number of distinct clusters 

var color = d3.scale.category10() 
    .domain(d3.range(m)); 

// The largest node for each cluster. 
var clusters = new Array(m); 

var nodeNumber=1; 

var nodes = d3.range(n).map(function() { 

    var i = Math.floor(Math.random() * m), 
     r = Math.sqrt((i + 1)/m * -Math.log(Math.random())) * maxRadius, 
     d = {   
      cluster: i, 
      radius: r, 
      name: nodeNumber, 
      x: Math.cos(i/m * 2 * Math.PI) * 200 + width/2 + Math.random(), 
      y: Math.sin(i/m * 2 * Math.PI) * 200 + height/2 + Math.random() 
     }; 
    if (!clusters[i] || (r > clusters[i].radius)) clusters[i] = d; 
    nodeNumber++; 
    return d; 

}); 

var force = d3.layout.force() 
    .nodes(nodes) 
    .size([width, height]) 
    .gravity(.02) 
    .charge(0) 
    .on("tick", tick) 
    .start(); 

var svg = d3.select("body").append("svg") 
    .attr("width", width) 
    .attr("height", height); 

var node = svg.selectAll("circle") 
    .data(nodes) 
    .enter().append("g").call(force.drag); 
//addcircle to the group 
node.append("circle") 
    .style("fill", function (d) { 
    return color(d.cluster); 
}).attr("r", function(d){return d.radius}) 
//add text to the group  
node.append("text") 
    .text(function (d) { 
    return d.name; 
}) 
.attr("dx", -10) 
    .attr("dy", ".35em") 
    .text(function (d) { 
    return d.name 
}) 
    .style("stroke", "none"); 






function tick(e) { 
    node.each(cluster(10 * e.alpha * e.alpha)) 
     .each(collide(.5)) 
    //.attr("transform", functon(d) {}); 
    .attr("transform", function (d) { 
     var k = "translate(" + d.x + "," + d.y + ")"; 
     return k; 
    }) 

} 

// Move d to be adjacent to the cluster node. 
function cluster(alpha) { 
    return function (d) { 
     var cluster = clusters[d.cluster]; 
     if (cluster === d) return; 
     var x = d.x - cluster.x, 
      y = d.y - cluster.y, 
      l = Math.sqrt(x * x + y * y), 
      r = d.radius + cluster.radius; 
     if (l != r) { 
      l = (l - r)/l * alpha; 
      d.x -= x *= l; 
      d.y -= y *= l; 
      cluster.x += x; 
      cluster.y += y; 
     } 
    }; 
} 

// Resolves collisions between d and all other circles. 
function collide(alpha) { 
    var quadtree = d3.geom.quadtree(nodes); 
    return function (d) { 
     var r = d.radius + maxRadius + Math.max(padding, clusterPadding), 
      nx1 = d.x - r, 
      nx2 = d.x + r, 
      ny1 = d.y - r, 
      ny2 = d.y + r; 
     quadtree.visit(function (quad, x1, y1, x2, y2) { 
      if (quad.point && (quad.point !== d)) { 
       var x = d.x - quad.point.x, 
        y = d.y - quad.point.y, 
        l = Math.sqrt(x * x + y * y), 
        r = d.radius + quad.point.radius + (d.cluster === quad.point.cluster ? padding : clusterPadding); 
       if (l < r) { 
        l = (l - r)/l * alpha; 
        d.x -= x *= l; 
        d.y -= y *= l; 
        quad.point.x += x; 
        quad.point.y += y; 
       } 
      } 
      return x1 > nx2 || x2 < nx1 || y1 > ny2 || y2 < ny1; 
     }); 
    }; 
} 

Answer 1

要做到这一点 我有与以下内容

group,name,radius 
1,A,30 
1,B,40 
1,C,50 
1,D,60 
1,E,70 
1,F,40 
2,G,50 
2,H,60 
2,I,70 
3,J,90 
3,K,30 
3,L,50 

取得了my.csv我添加了加载负荷的CSV异步一个AJAX操作，该功能将被称为添加注释

d3.csv("my.csv", function(data) { 
    //calculate the maximum group present 
    m = d3.max(data, function(d){return d.group}); 
    //create the color categories 
    color = d3.scale.category10() 
    .domain(d3.range(m)); 
    //make the clusters array each cluster for each group 
    clusters = new Array(m); 
    dataset = data.map(function(d) { 
    //find the radius intered in the csv 
    var r = parseInt(d.radius); 

    var dta = { 
     cluster: d.group,//group 
     name: d.name,//label 
     radius: r,//radius 
     x: Math.cos(d.group/m * 2 * Math.PI) * 100 + width/2 + Math.random(), 
     y: Math.sin(d.group/m * 2 * Math.PI) * 100 + height/2 + Math.random() 
    }; 
    //add the one off the node inside the cluster 
    if (!clusters[d.group] || (d.radius > clusters[d.group].radius)) clusters[d.group] = dta; 
    return dta; 
    }); 
    //after mapping use that t make the graph 
    makeGraph(dataset); 
}); 

其余部分与旧的小提琴相同。

工作代码here。