关于javascript：从JSON数据而不是CSV分组条形图

grouped bar chart from JSON data instead of CSV

我正在尝试重新创建"分组条形图"示例，但是我宁愿使用JSON数据也不使用CSV：

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var data = [
{
"State":"CA",
"Under 5 Years": 2704659,
"5 to 13 Years": 4499890,
"14 to 17 Years": 2159981,
"18 to 24 Years": 3853788,
"25 to 44 Years": 10604510,
"45 to 64 Years": 8819342,
"65 Years and Over": 4114496
},
{
"State":"TX",
"Under 5 Years": 2027307,
"5 to 13 Years": 3277946,
"14 to 17 Years": 1420518,
"18 to 24 Years": 2454721,
"25 to 44 Years": 7017731,
"45 to 64 Years": 5656528,
"65 Years and Over": 2472223
},
{
"State":"NY",
"Under 5 Years": 1208495,
"5 to 13 Years": 2141490,
"14 to 17 Years": 1058031,
"18 to 24 Years": 1999120,
"25 to 44 Years": 5355235,
"45 to 64 Years": 5120254,
"65 Years and Over": 2607672
},
{
"State":"FL",
"Under 5 Years": 1140516,
"5 to 13 Years": 1938695,
"14 to 17 Years": 925060,
"18 to 24 Years": 1607297,
"25 to 44 Years": 4782119,
"45 to 64 Years": 4746856,
"65 Years and Over": 3187797
},
{
"State":"IL",
"Under 5 Years": 894368,
"5 to 13 Years": 1558919,
"14 to 17 Years": 725973,
"18 to 24 Years": 1311479,
"25 to 44 Years": 3596343,
"45 to 64 Years": 3239173,
"65 Years and Over": 1575308
},
{
"State":"PA",
"Under 5 Years": 737462,
"5 to 13 Years": 1345341,
"14 to 17 Years": 679201,
"18 to 24 Years": 1203944,
"25 to 44 Years": 3157759,
"45 to 64 Years": 3414001,
"65 Years and Over": 1910571
}
]

这是我尝试重新创建的示例：

https://bl.ocks.org/mbostock/3887051

任何帮助将不胜感激，我确实是一个JavaScript新手。

因此，我只需删除示例的CSV部分就可以解决此问题。这是链接到本地d3.v3.js文件的静态版本：

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<!DOCTYPE html>
<meta charset="utf-8">
<script type="text/javascript" src="file:///C:/Users/userName/d3/d3.v3.min.js">
<style>

body {
font: 10px sans-serif;
}

.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}

.bar {
fill: steelblue;
}

.x.axis path {
display: none;
}

</style>
<body>
<script type="text/javascript">

var data = [
{
"State":"CA",
"Under 5 Years": 2704659,
"5 to 13 Years": 4499890,
"14 to 17 Years": 2159981,
"18 to 24 Years": 3853788,
"25 to 44 Years": 10604510,
"45 to 64 Years": 8819342,
"65 Years and Over": 4114496
},
{
"State":"TX",
"Under 5 Years": 2027307,
"5 to 13 Years": 3277946,
"14 to 17 Years": 1420518,
"18 to 24 Years": 2454721,
"25 to 44 Years": 7017731,
"45 to 64 Years": 5656528,
"65 Years and Over": 2472223
},
{
"State":"NY",
"Under 5 Years": 1208495,
"5 to 13 Years": 2141490,
"14 to 17 Years": 1058031,
"18 to 24 Years": 1999120,
"25 to 44 Years": 5355235,
"45 to 64 Years": 5120254,
"65 Years and Over": 2607672
},
{
"State":"FL",
"Under 5 Years": 1140516,
"5 to 13 Years": 1938695,
"14 to 17 Years": 925060,
"18 to 24 Years": 1607297,
"25 to 44 Years": 4782119,
"45 to 64 Years": 4746856,
"65 Years and Over": 3187797
},
{
"State":"IL",
"Under 5 Years": 894368,
"5 to 13 Years": 1558919,
"14 to 17 Years": 725973,
"18 to 24 Years": 1311479,
"25 to 44 Years": 3596343,
"45 to 64 Years": 3239173,
"65 Years and Over": 1575308
},
{
"State":"PA",
"Under 5 Years": 737462,
"5 to 13 Years": 1345341,
"14 to 17 Years": 679201,
"18 to 24 Years": 1203944,
"25 to 44 Years": 3157759,
"45 to 64 Years": 3414001,
"65 Years and Over": 1910571
}
]

var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;

var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);

var x1 = d3.scale.ordinal();

var y = d3.scale.linear()
.range([height, 0]);

var color = d3.scale.ordinal()
.range(["#98abc5","#8a89a6","#7b6888","#6b486b","#a05d56","#d0743c","#ff8c00"]);

var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");

var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickFormat(d3.format(".2s"));

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

var ageNames = d3.keys(data[0]).filter(function(key) { return key !=="State"; });

data.forEach(function(d) {
d.ages = ageNames.map(function(name) { return {name: name, value: +d[name]}; });
});

x0.domain(data.map(function(d) { return d.State; }));
x1.domain(ageNames).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) { return d3.max(d.ages, function(d) { return d.value; }); })]);

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("Population");

var state = svg.selectAll(".state")
.data(data)
.enter().append("g")
.attr("class","state")
.attr("transform", function(d) { return"translate(" + x0(d.State) +",0)"; });

state.selectAll("rect")
.data(function(d) { return d.ages; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.name); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.name); });

var legend = svg.selectAll(".legend")
.data(ageNames.slice().reverse())
.enter().append("g")
.attr("class","legend")
.attr("transform", function(d, i) { return"translate(0," + i * 20 +")"; });

legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);

legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy",".35em")
.style("text-anchor","end")
.text(function(d) { return d; });

</body>
</html>

这是JS Bin版本：http://jsbin.com/nuyipikaye/edit?html,js,output

感谢您的所有帮助！

通过将阵列转换为所需格式，可以轻松实现此驱动：

要进行转换，您可以使用：

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for(var x in data){
var currData = [];
for(var y in data[x]){
currData.push(data[x][y]);
}
dataArr.push(currData);
}

var tdata = d3.transpose(dataArr);

然后使用：http://bl.ocks.org/3532324

D3：从json对象创建分组的条形图

JSON D3.JS中的分组条形图

D3.js：如何从分组条形图中的JSON读取数据