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HW34_Scatterplot
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Facebook.csv
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Raw
index.html
<!DOCTYPE html>
<head>
<meta charset="utf-8">
<script src="https://d3js.org/d3.v4.min.js"></script>
<style>
body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; }
div.tooltip {
position: absolute;
text-align: center;
width: 60px;
height: 28px;
padding: 2px;
font: 12px sans-serif;
border: 0px;
border-radius: 8px;
pointer-events: none;
}
</style>
</head>
<div id="drop1" align=left>
<b>Select the predictor variable x:</b>
</div>
<div id="drop2" align=left>
<b>Select the response variable y:</b>
</div>
<body>
<script>
var margin = {top: 100, right: 80, bottom: 100, left: 80},
width = 480 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x_sca = d3.scaleLinear().range([0, width]),
y_sca = d3.scaleLinear().range([height, 0]),
x_bar = d3.scaleBand().range([0, width]).padding(0.1),
y_bar = d3.scaleLinear().range([height, 0]);
var sca = 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 bar = 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 div = d3.select("body").append("div").attr("class", "tooltip")
.style("opacity", 0);
d3.csv("Facebook.csv", drawData);
function drawData(data){
//Scatterplot
var features = d3.keys(data[0])
.filter(function(d){
return ((d != "Type") & (d != "Category")); });
var xselection = features[0],
yselection = features[0];
x_sca.domain(d3.extent(data, function(d) { return +d[xselection]; }));
y_sca.domain(d3.extent(data, function(d) { return +d[yselection]; }));
var scakey = function(d) { return d.Type;},
scacolor = d3.scaleOrdinal(d3.schemeCategory10);
sca.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x_sca))
.selectAll("text")
.style("text-anchor", "start")
.attr("dy", "1em")
.attr("transform", "rotate(45)" );
sca.append("text")
.attr("x", width)
.attr("y", height-5)
.style("text-anchor", "start")
.text("Units")
.style("font-size", "12px");
sca.append("g")
.attr("class", "y axis")
.call(d3.axisLeft(y_sca));
sca.append("text")
.attr("dy", "-1em")
.style("text-anchor", "end")
.text("Units")
.style("font-size", "12px");
sca.selectAll("dot")
.data(data)
.enter()
.append("circle")
.attr("r", 3.5)
.attr("cx", function(d) { return x_sca(+d[xselection]); })
.attr("cy", function(d) { return y_sca(+d[yselection]); })
.style("fill", function(d) { return scacolor(scakey(d)); });
var legend = sca.selectAll(".legend")
.data(scacolor.domain().sort())
.enter().append("g")
.attr("class", "legend");
legend.append("rect")
.attr("x", function(d, i){ return 80 + i * 100; })
.attr("y", -70)
.attr("width", 18)
.attr("height", 18)
.style("fill", scacolor);
legend.append("text")
.attr("x", function(d, i){ return 70 + i * 100; })
.attr("y", -60)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return "Type: " + d;})
.style("font-size", "12px");
//Bar chart
var transdata = d3.nest().key(function(d){ return d.PostWeekday; })
.rollup(function(d){
return d3.mean(d, function(g){ return g.TotalInteractions;
});
})
.entries(data);
var barcolor = d3.scaleOrdinal(d3.schemeCategory10);
x_bar.domain(transdata.map(function(d) { return d.key; }));
y_bar.domain([0, d3.max(transdata, function(d) { return d.value; })]);
bar.selectAll(".bar")
.data(transdata)
.enter()
.append("rect")
.attr("class", "bar")
.attr("x", function(d) { return x_bar(d.key); })
.attr("width", x_bar.bandwidth())
.attr("y", function(d) { return y_bar(+d.value); })
.attr("height", function(d) { return height - y_bar(+d.value); })
.attr("fill", function(d,i){ return barcolor(i)})
.attr("id", function(d, i) { return i; })
.on("mouseover", function(d){
d3.select(this).attr("fill", "#ffff00");
div.transition().duration(200).style("opacity", .9);
div.html("Average Interactions:" + "<br/>" + d3.format(".2f")(d.value))
.style("left", (d3.event.pageX) + "px")
.style("top", (d3.event.pageY) + "px");
})
.on("mouseout", function(d){
d3.select(this)
.attr("fill", function(d){ return barcolor(this.id);});
div.transition().duration(200).style("opacity", 0);
})
bar.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x_bar))
.selectAll("text")
.attr("transform", "rotate(45)")
.style("text-anchor", "start");
bar.append("g")
.attr("class", "y axis")
.call(d3.axisLeft(y_bar));
bar.append("text")
.attr("dy", "-1em")
.style("text-anchor", "end")
.text("Units")
.style("font-size", "12px");
//Two dropdown menus
var xselector = d3.select("#drop1")
.append("select")
.attr("id", "dropdown")
.on("change", function(){
xselection = this.value;
x_sca.domain(d3.extent(data, function(d) {
return +d[xselection]; }));
sca.select("g.x.axis")
.transition()
.call(d3.axisBottom(x_sca))
.selectAll("text")
.style("text-anchor", "start")
.attr("dy", "1em")
.attr("transform", "rotate(45)" );
sca.selectAll("circle")
.data(data)
.transition()
.attr("cx", function(d) {
return x_sca(+d[xselection]); })
});
xselector.selectAll("option")
.data(features)
.enter()
.append("option")
.attr("value", function(d){ return d; })
.text(function(d){ return d; });
var yselector = d3.select("#drop2")
.append("select")
.attr("id", "dropdown")
.on("change", function(){
yselection = this.value;
y_sca.domain(d3.extent(data, function(d) {
return +d[yselection]; }));
sca.select("g.y.axis")
.transition()
.call(d3.axisLeft(y_sca));
sca.selectAll("circle")
.data(data)
.transition()
.attr("cy", function(d) {
return y_sca(+d[yselection]); })
});
yselector.selectAll("option")
.data(features)
.enter()
.append("option")
.attr("value", function(d){ return d; })
.text(function(d){ return d; });
//Brush selection
var brush = d3.brush().extent([[0, 0], [width, height]])
.on("brush", brushed);
sca.append("g")
.attr("class", "brush")
.call(brush);
function brushed(){
var chosen = d3.brushSelection(this);
var newdata = data.filter(function(d){
return chosen[0][0] <= x_sca(+d[xselection]) &&
x_sca(+d[xselection]) <= chosen[1][0] &&
chosen[0][1] <= y_sca(+d[yselection]) &&
y_sca(+d[yselection]) <= chosen[1][1];
})
if (newdata.length != 0){
transdata = d3.nest().key(function(d){ return d.PostWeekday; })
.rollup(function(d){
return d3.mean(d, function(g){ return g.TotalInteractions;
});
})
.entries(newdata);
y_bar.domain([0, d3.max(transdata, function(d) { return d.value; })]);
bar.select("g.y.axis")
.transition()
.call(d3.axisLeft(y_bar));
bar.selectAll("rect")
.data(transdata)
.transition()
.attr("y", function(d) { return y_bar(+d.value); })
.attr("height", function(d) { return height - y_bar(+d.value); })
}
}
}
</script>
</body>
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