d3.js d3.json不工作-如何使此函数工作？
尝试使用d3.js开发数据可视化应用程序 使用名为“yelp_test_set_business.json”的本地json文件 当我尝试使用d3.json加载此数据时，没有向回调函数传递任何内容，在tern中，回调函数也会触发crossfilter.js库中的错误 这是我的全部文件：d3.js d3.json不工作-如何使此函数工作？,d3.js,D3.js,尝试使用d3.js开发数据可视化应用程序 使用名为“yelp_test_set_business.json”的本地json文件 当我尝试使用d3.json加载此数据时，没有向回调函数传递任何内容，在tern中，回调函数也会触发crossfilter.js库中的错误 这是我的全部文件： <!DOCTYPE html> <html lang='en'> <head> <meta charset='utf-8'> <script
<!DOCTYPE html>
<html lang='en'>
<head>
<meta charset='utf-8'>
<script src='javascript/d3.js' type='text/javascript'></script>
<script src='javascript/crossfilter.js' type='text/javascript'></script>
<script src='javascript/dc.js' type='text/javascript'></script>
<script src='javascript/jquery-1.12.1.min.js' type='text/javascript'></script>
<script type='text/javascript'>
/********************************************************
* *
* dj.js example using Yelp Kaggle Test Dataset *
* Eol 9th May 2013 *
* *
********************************************************/
/********************************************************
* *
* Step0: Load data from json file *
* *
********************************************************/
d3.json("data/yelp_test_set_business.json", function (yelp_data) {
/********************************************************
* *
* Step1: Create the dc.js chart objects & ling to div *
* *
********************************************************/
var bubbleChart = dc.bubbleChart("#dc-bubble-graph");
var pieChart = dc.pieChart("#dc-pie-graph");
var volumeChart = dc.barChart("#dc-volume-chart");
var lineChart = dc.lineChart("#dc-line-chart");
var dataTable = dc.dataTable("#dc-table-graph");
var rowChart = dc.rowChart("#dc-row-graph");
/********************************************************
* *
* Step2: Run data through crossfilter *
* *
********************************************************/
var ndx = crossfilter(yelp_data);
/********************************************************
* *
* Step3: Create Dimension that we'll need *
* *
********************************************************/
// for volumechart
var cityDimension = ndx.dimension(function (d) { return d.city; });
var cityGroup = cityDimension.group();
var cityDimensionGroup = cityDimension.group().reduce(
//add
function(p,v){
++p.count;
p.review_sum += v.review_count;
p.star_sum += v.stars;
p.review_avg = p.review_sum / p.count;
p.star_avg = p.star_sum / p.count;
return p;
},
//remove
function(p,v){
--p.count;
p.review_sum -= v.review_count;
p.star_sum -= v.stars;
p.review_avg = p.review_sum / p.count;
p.star_avg = p.star_sum / p.count;
return p;
},
//init
function(p,v){
return {count:0, review_sum: 0, star_sum: 0, review_avg: 0, star_avg: 0};
}
);
// for pieChart
var startValue = ndx.dimension(function (d) {
return d.stars*1.0;
});
var startValueGroup = startValue.group();
// For datatable
var businessDimension = ndx.dimension(function (d) { return d.business_id; });
/********************************************************
* *
* Step4: Create the Visualisations *
* *
********************************************************/
bubbleChart.width(650)
.height(300)
.dimension(cityDimension)
.group(cityDimensionGroup)
.transitionDuration(1500)
.colors(["#a60000","#ff0000", "#ff4040","#ff7373","#67e667","#39e639","#00cc00"])
.colorDomain([-12000, 12000])
.x(d3.scale.linear().domain([0, 5.5]))
.y(d3.scale.linear().domain([0, 5.5]))
.r(d3.scale.linear().domain([0, 2500]))
.keyAccessor(function (p) {
return p.value.star_avg;
})
.valueAccessor(function (p) {
return p.value.review_avg;
})
.radiusValueAccessor(function (p) {
return p.value.count;
})
.transitionDuration(1500)
.elasticY(true)
.yAxisPadding(1)
.xAxisPadding(1)
.label(function (p) {
return p.key;
})
.renderLabel(true)
.renderlet(function (chart) {
rowChart.filter(chart.filter());
})
.on("postRedraw", function (chart) {
dc.events.trigger(function () {
rowChart.filter(chart.filter());
});
});
;
pieChart.width(200)
.height(200)
.transitionDuration(1500)
.dimension(startValue)
.group(startValueGroup)
.radius(90)
.minAngleForLabel(0)
.label(function(d) { return d.data.key; })
.on("filtered", function (chart) {
dc.events.trigger(function () {
if(chart.filter()) {
console.log(chart.filter());
volumeChart.filter([chart.filter()-.25,chart.filter()-(-0.25)]);
}
else volumeChart.filterAll();
});
});
volumeChart.width(230)
.height(200)
.dimension(startValue)
.group(startValueGroup)
.transitionDuration(1500)
.centerBar(true)
.gap(17)
.x(d3.scale.linear().domain([0.5, 5.5]))
.elasticY(true)
.on("filtered", function (chart) {
dc.events.trigger(function () {
if(chart.filter()) {
console.log(chart.filter());
lineChart.filter(chart.filter());
}
else
{lineChart.filterAll()}
});
})
.xAxis().tickFormat(function(v) {return v;});
console.log(startValueGroup.top(1)[0].value);
lineChart.width(230)
.height(200)
.dimension(startValue)
.group(startValueGroup)
.x(d3.scale.linear().domain([0.5, 5.5]))
.valueAccessor(function(d) {
return d.value;
})
.renderHorizontalGridLines(true)
.elasticY(true)
.xAxis().tickFormat(function(v) {return v;}); ;
rowChart.width(340)
.height(850)
.dimension(cityDimension)
.group(cityGroup)
.renderLabel(true)
.colors(["#a60000","#ff0000", "#ff4040","#ff7373","#67e667","#39e639","#00cc00"])
.colorDomain([0, 0])
.renderlet(function (chart) {
bubbleChart.filter(chart.filter());
})
.on("filtered", function (chart) {
dc.events.trigger(function () {
bubbleChart.filter(chart.filter());
});
});
dataTable.width(800).height(800)
.dimension(businessDimension)
.group(function(d) { return "List of all Selected Businesses"
})
.size(100)
.columns([
function(d) { return d.name; },
function(d) { return d.city; },
function(d) { return d.stars; },
function(d) { return d.review_count; },
function(d) { return '<a href=\"http://maps.google.com/maps?z=12&t=m&q=loc:' + d.latitude + '+' + d.longitude +"\" target=\"_blank\">Map</a>"}
])
.sortBy(function(d){ return d.stars; })
// (optional) sort order, :default ascending
.order(d3.ascending);
/********************************************************
* *
* Step6: Render the Charts *
* *
********************************************************/
dc.renderAll();
});
</script>
<link href='stylesheets/bootstrap.min.css' rel='stylesheet' type='text/css'>
<!--<link href='stylesheets/dc.css' rel='stylesheet' type='text/css'>-->
<!--<script src='simple_vis.js' type='text/javascript'></script>-->
</head>
<body>
<div class='container' id='main-container'>
<div class='content'>
<div class='container' style='font: 10px sans-serif;'>
<h3>Visualisation of <a href="http://www.kaggle.com/c/yelp-recruiting">Kaggle Yelp Test Business Data</a> set (using <a href="http://nickqizhu.github.io/dc.js/">dc.js</a>)</h3>
<h4>Demo for the <a href="http://www.meetup.com/Dublin-Data-Visualisation/">Dublin Data Visualisation Meetup Group</a></h4>
<div class='row-fluid'>
<div class='remaining-graphs span8'>
<div class='row-fluid'>
<div class='bubble-graph span12' id='dc-bubble-graph'>
<h4>Average Rating (x-axis), Average Number of Reviews (y-axis), Number of Business' (Size)</h4>
</div>
</div>
<div class='row-fluid'>
<div class='pie-graph span4' id='dc-pie-graph'>
<h4>Average Rating in Stars (Pie)</h4>
</div>
<div class='pie-graph span4' id='dc-volume-chart'>
<h4>Average Rating in Stars / Number of Reviews (Bar)</h4>
</div>
<div class='pie-graph span4' id='dc-line-chart'>
<h4>Average Rating in Stars / Number of Reviews (Line)</h4>
</div>
</div>
<!-- /other little graphs go here -->
<div class='row-fluid'>
<div class='span12 table-graph'>
<h4>Data Table for Filtered Businesses</h4>
<table class='table table-hover dc-data-table' id='dc-table-graph'>
<thead>
<tr class='header'>
<th>Name</th>
<th>City</th>
<th>Review Score (in Stars)</th>
<th>Total Reviews</th>
<th>Location</th>
</tr>
</thead>
</table>
</div>
</div>
</div>
<div class='remaining-graphs span4'>
<div class='row-fluid'>
<div class='row-graph span12' id='dc-row-graph' style='color:black;'>
<h4>Reviews Per City</h4>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</body>
</html>
有人知道为什么会出现这种情况吗？大多数情况下，此错误与您只需在浏览器中打开
html文件：//json.html.json如果安装了
pythonpython-m SimpleHTTPServerhttp://localhost:8080.html.jsonlocalhost:8080d3.jsond3.csv d3.json("data/yelp_test_set_business.json", function (yelp_data) {
d3.json("data/yelp_test_set_business.json", function (error, yelp_data) {
d3.json("data/yelp_test_set_business.json", function (error, yelp_data) {