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D3折れ線グラフが挿入されません。何が欠けている？

2016-07-21 23 views
0

私はcsvの値を集計し、折れ線グラフ（現在のチームの強さを数ヶ月にわたって）を使って値を集計しようとしています。さて、私は何もエラーを取得していない、&は、グラフが読み込まれています。何が欠けているのか分からないようです。ここでD3折れ線グラフが挿入されません。何が欠けている？

は私のコードです：

<!DOCTYPE html> 
<meta charset="utf-8"> 
<style> /* set the CSS */ 

body { font: 12px Arial;} 

    .line { 
     stroke: blue; 
     fill:none; 
     stroke-width: 4; 
    } 

    .axis path, 
    .axis line { 
     fill: none; 
     stroke: black; 
     shape-rendering: crispEdges; 
    } 

    .axis text { 
     font-size: 10px; 
     font-family: sans-serif; 
    } 

    .text-label { 
     font-size: 10px; 
     font-family: sans-serif; 
    } 
</style> 
<body> 

<!-- load the d3.js library -->  
<script src="http://d3js.org/d3.v3.min.js"></script> 

<script> 

// Set the dimensions of the canvas/graph 
var margin = {top: 30, right: 20, bottom: 30, left: 50}, 
    width = 600 - margin.left - margin.right, 
    height = 270 - margin.top - margin.bottom; 

// Parse the date/time 
var parseDate = d3.time.format("%m/%d/%Y").parse; 

// Set the ranges 
var x = d3.time.scale().range([0, width]); 
var y = d3.scale.linear().range([height, 0]); 

// Define the axes 
var xAxis = d3.svg.axis().scale(x) 
    .orient("bottom").ticks(5); 

var yAxis = d3.svg.axis().scale(y) 
    .orient("left").ticks(5); 



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

// Not yet using filtering 
    var filter = data.filter(function(d){ 
     return (d.Head == 'People' && d.Measure == 'Current Team') 
    }); 


var nested = d3.nest() 
    .key(function(d) {return d.Time_Period;}) 
    .rollup(function(d) { 
     return { 
      line1: d3.sum(d, function(e) { return e.Value; }) 
     }; 
     //console.log(line1); 
    }) 
    .entries(data); 

    console.log(nested); 

    x.domain(d3.extent(nested, function(d) { return d.key; })); 
    y.domain(d3.extent(nested, function(d) { return d.values.line1; })); 

// Adds the svg canvas 
    var svg = d3.select("body").append("svg"); 

    svg.append("g") 
     .attr("class", "x axis") 
     .attr("transform", "translate(0," + height + ")") 
     .call(xAxis); 

    svg.append("g") 
     .attr("class", "y axis") 
     .call(yAxis) 
    .append("text") 
     .attr("transform", "rotate(-90)") 
     .attr("y", 6) 
     .attr("dy", ".71em") 
     .style("text-anchor", "end") 
     .text("Price ($)"); 

    var line_1 = d3.svg.line() 
      .x(function(d) { console.log(parseDate(d.key));return parseDate(d.key); }) 
      .y(function(d) { console.log(d.values.line1);return d.values.line1; }); 

      console.log(line_1.x.value); 


    svg.append("path") 
     .datum(nested) 
     .attr("class", "line") 
     .attr("d", line_1) 
     .style("stroke", "steelblue") 
     .attr("fill", "none") 
     .attr("stroke-width", 4.8) 
     .attr("stroke-opacity", 0.0001) 
     .transition().duration(2000) 
     .attr("stroke-opacity", 1) 
     .attr("stroke-width", 2.8);  

    }); 



</script> 


<Test.csv> 
[ 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "6", 
    "Measure": "Current Team", 
    "Time_Period": "4/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "5", 
    "Measure": "Current Team", 
    "Time_Period": "4/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "0", 
    "Measure": "Current Team", 
    "Time_Period": "4/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "0", 
    "Measure": "Current Team", 
    "Time_Period": "4/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "6", 
    "Measure": "New Joinees", 
    "Time_Period": "4/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "5", 
    "Measure": "New Joinees", 
    "Time_Period": "4/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "0", 
    "Measure": "New Joinees", 
    "Time_Period": "4/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "0", 
    "Measure": "New Joinees", 
    "Time_Period": "4/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "0", 
    "Measure": "Planned Team", 
    "Time_Period": "4/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "0", 
    "Measure": "Planned Team", 
    "Time_Period": "4/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "0", 
    "Measure": "Planned Team", 
    "Time_Period": "4/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "0", 
    "Measure": "Planned Team", 
    "Time_Period": "4/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "6", 
    "Measure": "Current Team", 
    "Time_Period": "5/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "5", 
    "Measure": "Current Team", 
    "Time_Period": "5/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "0", 
    "Measure": "Current Team", 
    "Time_Period": "5/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "0", 
    "Measure": "Current Team", 
    "Time_Period": "5/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "6", 
    "Measure": "New Joinees", 
    "Time_Period": "5/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "5", 
    "Measure": "New Joinees", 
    "Time_Period": "5/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "0", 
    "Measure": "New Joinees", 
    "Time_Period": "5/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "0", 
    "Measure": "New Joinees", 
    "Time_Period": "5/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "0", 
    "Measure": "Planned Team", 
    "Time_Period": "5/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "0", 
    "Measure": "Planned Team", 
    "Time_Period": "5/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "0", 
    "Measure": "Planned Team", 
    "Time_Period": "5/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "0", 
    "Measure": "Planned Team", 
    "Time_Period": "5/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "6", 
    "Measure": "Current Team", 
    "Time_Period": "6/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "5", 
    "Measure": "Current Team", 
    "Time_Period": "6/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "0", 
    "Measure": "Current Team", 
    "Time_Period": "6/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "0", 
    "Measure": "Current Team", 
    "Time_Period": "6/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "6", 
    "Measure": "New Joinees", 
    "Time_Period": "6/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "5", 
    "Measure": "New Joinees", 
    "Time_Period": "6/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "0", 
    "Measure": "New Joinees", 
    "Time_Period": "6/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "0", 
    "Measure": "New Joinees", 
    "Time_Period": "6/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "0", 
    "Measure": "Planned Team", 
    "Time_Period": "6/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "0", 
    "Measure": "Planned Team", 
    "Time_Period": "6/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "0", 
    "Measure": "Planned Team", 
    "Time_Period": "6/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "0", 
    "Measure": "Planned Team", 
    "Time_Period": "6/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "6", 
    "Measure": "Current Team", 
    "Time_Period": "7/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "5", 
    "Measure": "Current Team", 
    "Time_Period": "7/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "0", 
    "Measure": "Current Team", 
    "Time_Period": "7/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "0", 
    "Measure": "Current Team", 
    "Time_Period": "7/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "6", 
    "Measure": "New Joinees", 
    "Time_Period": "7/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "5", 
    "Measure": "New Joinees", 
    "Time_Period": "7/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "0", 
    "Measure": "New Joinees", 
    "Time_Period": "7/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "0", 
    "Measure": "New Joinees", 
    "Time_Period": "7/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "0", 
    "Measure": "Planned Team", 
    "Time_Period": "7/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "IN", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "0", 
    "Measure": "Planned Team", 
    "Time_Period": "7/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Reporting & Vizualization", 
    "Value": "0", 
    "Measure": "Planned Team", 
    "Time_Period": "7/1/2016", 
    "Unit": "Count" 
}, 
{ 
    "RU": "US", 
    "Head": "People", 
    "Industry": "-", 
    "Practice": "Data Integration", 
    "Value": "0", 
    "Measure": "Planned Team", 
    "Time_Period": "7/1/2016", 
    "Unit": "Count" 
} 
]

出典

2016-07-21 Anip

答えて

0

私はあなたのコードに次の更新プログラムを作り、それがスニペットで正常に動作しているようです。

  1. SVGコンテナの位置とサイズ。
  2. x軸の日付値の解析。

質問の値が直線を示していました。私は別の外観のためにいくつかのランダムな値を使用しました。

var data = [{ 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "6", 
 
    "Measure": "Current Team", 
 
    "Time_Period": "4/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "5", 
 
    "Measure": "Current Team", 
 
    "Time_Period": "4/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "0", 
 
    "Measure": "Current Team", 
 
    "Time_Period": "4/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "0", 
 
    "Measure": "Current Team", 
 
    "Time_Period": "4/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "6", 
 
    "Measure": "New Joinees", 
 
    "Time_Period": "4/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "75", 
 
    "Measure": "New Joinees", 
 
    "Time_Period": "4/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "0", 
 
    "Measure": "New Joinees", 
 
    "Time_Period": "4/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "0", 
 
    "Measure": "New Joinees", 
 
    "Time_Period": "4/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "0", 
 
    "Measure": "Planned Team", 
 
    "Time_Period": "4/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "0", 
 
    "Measure": "Planned Team", 
 
    "Time_Period": "4/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "18", 
 
    "Measure": "Planned Team", 
 
    "Time_Period": "4/1/2016", 
 
    "Unit": "Cunt" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "15", 
 
    "Measure": "Planned Team", 
 
    "Time_Period": "4/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "6", 
 
    "Measure": "Current Team", 
 
    "Time_Period": "5/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "5", 
 
    "Measure": "Current Team", 
 
    "Time_Period": "5/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "0", 
 
    "Measure": "Current Team", 
 
    "Time_Period": "5/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "0", 
 
    "Measure": "Current Team", 
 
    "Time_Period": "5/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "6", 
 
    "Measure": "New Joinees", 
 
    "Time_Period": "5/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "5", 
 
    "Measure": "New Joinees", 
 
    "Time_Period": "5/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "0", 
 
    "Measure": "New Joinees", 
 
    "Time_Period": "5/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "0", 
 
    "Measure": "New Joinees", 
 
    "Time_Period": "5/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "0", 
 
    "Measure": "Planned Team", 
 
    "Time_Period": "5/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "0", 
 
    "Measure": "Planned Team", 
 
    "Time_Period": "5/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "0", 
 
    "Measure": "Planned Team", 
 
    "Time_Period": "5/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "0", 
 
    "Measure": "Planned Team", 
 
    "Time_Period": "5/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "6", 
 
    "Measure": "Current Team", 
 
    "Time_Period": "6/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "5", 
 
    "Measure": "Current Team", 
 
    "Time_Period": "6/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "0", 
 
    "Measure": "Current Team", 
 
    "Time_Period": "6/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "0", 
 
    "Measure": "Current Team", 
 
    "Time_Period": "6/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "6", 
 
    "Measure": "New Joinees", 
 
    "Time_Period": "6/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "5", 
 
    "Measure": "New Joinees", 
 
    "Time_Period": "6/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "0", 
 
    "Measure": "New Joinees", 
 
    "Time_Period": "6/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "0", 
 
    "Measure": "New Joinees", 
 
    "Time_Period": "6/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "0", 
 
    "Measure": "Planned Team", 
 
    "Time_Period": "6/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "0", 
 
    "Measure": "Planned Team", 
 
    "Time_Period": "6/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "0", 
 
    "Measure": "Planned Team", 
 
    "Time_Period": "6/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "0", 
 
    "Measure": "Planned Team", 
 
    "Time_Period": "6/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "6", 
 
    "Measure": "Current Team", 
 
    "Time_Period": "7/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "5", 
 
    "Measure": "Current Team", 
 
    "Time_Period": "7/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "0", 
 
    "Measure": "Current Team", 
 
    "Time_Period": "7/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "0", 
 
    "Measure": "Current Team", 
 
    "Time_Period": "7/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "6", 
 
    "Measure": "New Joinees", 
 
    "Time_Period": "7/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "5", 
 
    "Measure": "New Joinees", 
 
    "Time_Period": "7/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "0", 
 
    "Measure": "New Joinees", 
 
    "Time_Period": "7/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "0", 
 
    "Measure": "New Joinees", 
 
    "Time_Period": "7/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "10", 
 
    "Measure": "Planned Team", 
 
    "Time_Period": "7/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "IN", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "20", 
 
    "Measure": "Planned Team", 
 
    "Time_Period": "7/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Reporting & Vizualization", 
 
    "Value": "30", 
 
    "Measure": "Planned Team", 
 
    "Time_Period": "7/1/2016", 
 
    "Unit": "Count" 
 
}, { 
 
    "RU": "US", 
 
    "Head": "People", 
 
    "Industry": "-", 
 
    "Practice": "Data Integration", 
 
    "Value": "0", 
 
    "Measure": "Planned Team", 
 
    "Time_Period": "7/1/2016", 
 
    "Unit": "Count" 
 
}]; 
 

 

 
var margin = { 
 
    top: 30, 
 
    right: 20, 
 
    bottom: 30, 
 
    left: 50 
 
    }, 
 
    width = 600 - margin.left - margin.right, 
 
    height = 270 - margin.top - margin.bottom; 
 

 

 

 
// Parse the date/time 
 
var parseDate = d3.time.format("%m/%d/%Y").parse; 
 

 
// Set the ranges 
 
var x = d3.time.scale().range([0, width]); 
 
var y = d3.scale.linear().range([height, 0]); 
 

 
// Define the axes 
 
var xAxis = d3.svg.axis().scale(x) 
 
    .orient("bottom").ticks(5); 
 

 
var yAxis = d3.svg.axis().scale(y) 
 
    .orient("left").ticks(5); 
 

 

 
// Not yet using filtering 
 

 
var filter = data.filter(function(d) { 
 
    return (d.Head == 'People' && d.Measure == 'Current Team') 
 
}); 
 

 

 
var nested = d3.nest().key(function(d) { 
 
    return d.Time_Period; 
 
    }) 
 
    .rollup(function(d) { 
 
    return d3.sum(d, function(e) { 
 
     return +e.Value; 
 
     }) 
 
    
 
    //console.log(line1); 
 
    }) 
 
    .entries(data); 
 

 

 
x.domain(d3.extent(nested, function(d) { 
 
    return parseDate(d.key); 
 
})); 
 

 
y.domain(d3.extent(nested, function(d) { 
 
    return d.values; 
 
})); 
 

 

 
// Adds the svg canvas 
 
var svg = d3.select("body").append("svg").attr("height", height + margin.top + margin.bottom) 
 
    .attr("width", width + margin.left + margin.right) 
 
    .append("g") 
 
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); 
 

 
svg.append("g") 
 
    .attr("class", "x axis") 
 
    .attr("transform", "translate(0," + height + ")") 
 
    .call(xAxis); 
 

 
svg.append("g") 
 
    .attr("class", "y axis") 
 
    .call(yAxis) 
 
    .append("text") 
 
    .attr("transform", "rotate(-90)") 
 
    .attr("y", 6) 
 
    .attr("dy", ".71em") 
 
    .style("text-anchor", "end") 
 
    .text("Price ($)"); 
 

 
var line_1 = d3.svg.line() 
 
    .x(function(d) {  
 
    return x(parseDate(d.key)); 
 
    }) 
 
    .y(function(d) {  
 
    return d.values; 
 
    }); 
 

 
//console.log(line_1.x.value); 
 

 

 
svg.append("path") 
 
    .datum(nested) 
 
    .attr("class", "line") 
 
    .attr("d", line_1) 
 
    .style("stroke", "steelblue") 
 
    .attr("fill", "none") 
 
    .attr("stroke-width", 4.8) 
 
    .attr("stroke-opacity", 0.0001) 
 
    .transition().duration(2000) 
 
    .attr("stroke-opacity", 1) 
 
    .attr("stroke-width", 2.8);
.line { 
 
    stroke: blue; 
 
    fill: none; 
 
    stroke-width: 4; 
 
} 
 
.axis path, 
 
.axis line { 
 
    fill: none; 
 
    stroke: black; 
 
    shape-rendering: crispEdges; 
 
} 
 
.axis text { 
 
    font-size: 10px; 
 
    font-family: sans-serif; 
 
} 
 
.text-label { 
 
    font-size: 10px; 
 
    font-family: sans-serif; 
 
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>

出典

2016-07-21 06:52:41 Gilsha

+0

そんなにGilshaありがとうございます。完璧に動作します！ :-) – Anip

+0

喜んでそれは助け:) – Gilsha

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