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cheesinglee/adult.json

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BigML dataset scatter plot
Raw
adult.json
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Raw
index.html
<!DOCTYPE html>
<meta charset="utf-8">
<body>
<script src="http://d3js.org/d3.v3.min.js"></script>
X-Axis: <select class="axis" id="xaxis"></select>
Y-Axis: <select class="axis" id="yaxis"></select>
<script>
var margin = {top: 40, right: 20, bottom: 50, left: 20},
width = 960 - margin.left - margin.right,
height = 500 - margin.bottom - margin.top;
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 width = 960,
size = 150,
padding = 19.5;
var x = d3.scale.linear()
.range([padding / 2, size - padding / 2]);
var y = d3.scale.linear()
.range([size - padding / 2, padding / 2]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.ticks(5);
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(5);
var defs = d3.select("svg").append("defs");
function sample_histogram(fields){
var points = [] ;
return points ;
}
d3.json("adult.json",function(error,root){
var fields = root.fields ;
var fieldnames = [] ;
for (var f in fields){
var field = fields[f] ;
//console.log(field.name+' '+field.optype) ;
if (field.optype == "numeric") fieldnames.push(field.name) ;
}
//console.log(fieldnames) ;
d3.select("body")
.selectAll(".axis")
.selectAll("option")
.data(fieldnames)
.enter()
.append("option")
.text(function(d){return d})
})
</script>
</body>
</html>
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