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Created October 18, 2016 08:40
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Crossfilter Examples Jazoon Crossfilter example 3: Custom reduce functions // source http://jsbin.com/pubaz
Raw
index.html
<!DOCTYPE html>
<html>
<head>
<script src="http://code.jquery.com/jquery.min.js"></script>
<link href="http://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css" rel="stylesheet" type="text/css" />
<script src="http://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/crossfilter/1.3.11/crossfilter.min.js"></script>
<meta name="description" content="Jazoon Crossfilter example 3: Custom reduce functions" />
<meta charset="utf-8">
<title>Crossfilter Examples</title>
<style id="jsbin-css">
circle {
fill-opacity: .1;
stroke: #000;
}
</style>
</head>
<body>
<div class="container">
<div class="row">
<div class="well">
<h1>Crossfilter example 3: Custom reduce function
</div>
<div id="result" class="col-md-4 well"></div>
</div>
</div>
<script id="jsbin-javascript">
var csv = "name,economy (mpg),cylinders,displacement (cc),power (hp),weight (lb),0-60 mph (s),year\n" +
"AMC Ambassador Brougham,13,8,360,175,3821,11,73\n" +
"AMC Ambassador DPL,15,8,390,190,3850,8.5,70\n" +
"AMC Ambassador SST,17,8,304,150,3672,11.5,72\n" +
"AMC Concord DL 6,20.2,6,232,90,3265,18.2,79\n" +
"AMC Concord DL,18.1,6,258,120,3410,15.1,78\n" +
"Audi Fox,29,4,98,83,2219,16.5,74\n" +
"BMW 2002,26,4,121,113,2234,12.5,70\n" +
"BMW 320i,21.5,4,121,110,2600,12.8,77\n" +
"Buick Century 350,13,8,350,175,4100,13,73\n" +
"Buick Century Limited,25,6,181,110,2945,16.4,82\n" +
"Chrysler Newport Royal,13,8,400,190,4422,12.5,72\n" +
"Citroen DS-21 Pallas,6,4,133,115,3090,17.5,70\n" +
"Datsun 1200,35,4,72,69,1613,18,71";
var data = d3.csv.parse(csv);
var cf = crossfilter(data);
// simple dimension for unique car model names
var byName = cf.dimension(function(p) {
return p.name;
});
var groupByMeanPower =
// MAP: create a group ("bin") per brand name (e.g. "BMW")
byName
.group( function (d){
return d.substring (0, d.indexOf (" "));
})
// REDUCE: incrementally calculate average power inside each group)
.reduce (
// add
function (p,v){
p.totalPower += +v["power (hp)"];
p.count++;
p.avg = (p.totalPower / p.count);
return p;
},
// remove
function (p,v){
p.totalPower -= +v["power (hp)"];
p.count--;
p.avg = (p.totalPower / p.count);
return p;
},
// init
function init (){
return {
totalPower: 0,
count: 0,
avg: 0
};
}
)
// order group using the resulting average from the reduce step
.order (function (d){return d.avg;});
var resultData = groupByMeanPower.top(Infinity);
var result = d3.select("body")
.select("div#result")
.selectAll("div")
.data(resultData);
result.enter()
.append("div")
.text(function(d){
return d.key + " cars have average power of " + (d.value.avg) + " ";
});
</script>
<script id="jsbin-source-html" type="text/html"><!DOCTYPE html>
<html>
<head>
<script src="//code.jquery.com/jquery.min.js"><\/script>
<link href="//maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css" rel="stylesheet" type="text/css" />
<script src="//maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"><\/script>
<script src="http://d3js.org/d3.v3.min.js"><\/script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/crossfilter/1.3.11/crossfilter.min.js"><\/script>
<meta name="description" content="Jazoon Crossfilter example 3: Custom reduce functions" />
<meta charset="utf-8">
<title>Crossfilter Examples</title>
</head>
<body>
<div class="container">
<div class="row">
<div class="well">
<h1>Crossfilter example 3: Custom reduce function
</div>
<div id="result" class="col-md-4 well"></div>
</div>
</div>
</body>
</html></script>
<script id="jsbin-source-css" type="text/css">circle {
fill-opacity: .1;
stroke: #000;
}</script>
<script id="jsbin-source-javascript" type="text/javascript">var csv = "name,economy (mpg),cylinders,displacement (cc),power (hp),weight (lb),0-60 mph (s),year\n" +
"AMC Ambassador Brougham,13,8,360,175,3821,11,73\n" +
"AMC Ambassador DPL,15,8,390,190,3850,8.5,70\n" +
"AMC Ambassador SST,17,8,304,150,3672,11.5,72\n" +
"AMC Concord DL 6,20.2,6,232,90,3265,18.2,79\n" +
"AMC Concord DL,18.1,6,258,120,3410,15.1,78\n" +
"Audi Fox,29,4,98,83,2219,16.5,74\n" +
"BMW 2002,26,4,121,113,2234,12.5,70\n" +
"BMW 320i,21.5,4,121,110,2600,12.8,77\n" +
"Buick Century 350,13,8,350,175,4100,13,73\n" +
"Buick Century Limited,25,6,181,110,2945,16.4,82\n" +
"Chrysler Newport Royal,13,8,400,190,4422,12.5,72\n" +
"Citroen DS-21 Pallas,6,4,133,115,3090,17.5,70\n" +
"Datsun 1200,35,4,72,69,1613,18,71";
var data = d3.csv.parse(csv);
var cf = crossfilter(data);
// simple dimension for unique car model names
var byName = cf.dimension(function(p) {
return p.name;
});
var groupByMeanPower =
// MAP: create a group ("bin") per brand name (e.g. "BMW")
byName
.group( function (d){
return d.substring (0, d.indexOf (" "));
})
// REDUCE: incrementally calculate average power inside each group)
.reduce (
// add
function (p,v){
p.totalPower += +v["power (hp)"];
p.count++;
p.avg = (p.totalPower / p.count);
return p;
},
// remove
function (p,v){
p.totalPower -= +v["power (hp)"];
p.count--;
p.avg = (p.totalPower / p.count);
return p;
},
// init
function init (){
return {
totalPower: 0,
count: 0,
avg: 0
};
}
)
// order group using the resulting average from the reduce step
.order (function (d){return d.avg;});
var resultData = groupByMeanPower.top(Infinity);
var result = d3.select("body")
.select("div#result")
.selectAll("div")
.data(resultData);
result.enter()
.append("div")
.text(function(d){
return d.key + " cars have average power of " + (d.value.avg) + " ";
});</script></body>
</html>
Raw
jsbin.pubaz.css
circle {
fill-opacity: .1;
stroke: #000;
}
Raw
jsbin.pubaz.js
var csv = "name,economy (mpg),cylinders,displacement (cc),power (hp),weight (lb),0-60 mph (s),year\n" +
"AMC Ambassador Brougham,13,8,360,175,3821,11,73\n" +
"AMC Ambassador DPL,15,8,390,190,3850,8.5,70\n" +
"AMC Ambassador SST,17,8,304,150,3672,11.5,72\n" +
"AMC Concord DL 6,20.2,6,232,90,3265,18.2,79\n" +
"AMC Concord DL,18.1,6,258,120,3410,15.1,78\n" +
"Audi Fox,29,4,98,83,2219,16.5,74\n" +
"BMW 2002,26,4,121,113,2234,12.5,70\n" +
"BMW 320i,21.5,4,121,110,2600,12.8,77\n" +
"Buick Century 350,13,8,350,175,4100,13,73\n" +
"Buick Century Limited,25,6,181,110,2945,16.4,82\n" +
"Chrysler Newport Royal,13,8,400,190,4422,12.5,72\n" +
"Citroen DS-21 Pallas,6,4,133,115,3090,17.5,70\n" +
"Datsun 1200,35,4,72,69,1613,18,71";
var data = d3.csv.parse(csv);
var cf = crossfilter(data);
// simple dimension for unique car model names
var byName = cf.dimension(function(p) {
return p.name;
});
var groupByMeanPower =
// MAP: create a group ("bin") per brand name (e.g. "BMW")
byName
.group( function (d){
return d.substring (0, d.indexOf (" "));
})
// REDUCE: incrementally calculate average power inside each group)
.reduce (
// add
function (p,v){
p.totalPower += +v["power (hp)"];
p.count++;
p.avg = (p.totalPower / p.count);
return p;
},
// remove
function (p,v){
p.totalPower -= +v["power (hp)"];
p.count--;
p.avg = (p.totalPower / p.count);
return p;
},
// init
function init (){
return {
totalPower: 0,
count: 0,
avg: 0
};
}
)
// order group using the resulting average from the reduce step
.order (function (d){return d.avg;});
var resultData = groupByMeanPower.top(Infinity);
var result = d3.select("body")
.select("div#result")
.selectAll("div")
.data(resultData);
result.enter()
.append("div")
.text(function(d){
return d.key + " cars have average power of " + (d.value.avg) + " ";
});
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