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diabetes_logistic_regressions_d3_small.html
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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<style>
body {
font: 16px sans-serif;
color: black;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
stroke-width:4.5px;
}
div {
margin: auto;
padding: 20px 15px;
}
.ageslider, .genderButtons {
font: 18px sans-serif;
margin-left: 8%;
height: 15px;
float: left;
text-align: center;
font-weight: bold;
}
.ageslider {
margin-right: 2%;
}
.overlay {
fill: none;
pointer-events: all;
}
.focusMarkers circle {
fill: none;
stroke: black;
}
.movingmarkertext {
stroke:none;
font-weight: bold;
}
.legend {
padding: 5px;
font: 20px sans-serif;
background: yellow;
box-shadow: 2px 2px 1px #888;
}
.brush .extent {
stroke: #fff;
fill-opacity: .125;
shape-rendering: crispEdges;
}
.path_prob_now {
fill:none;
stroke:blue;
stroke-width:4.5px;
}
.path_prob_5 {
fill:none;
stroke:cyan;
stroke-width:2.5px;
}
.path_prob_15 {
fill:none;
stroke:black;
stroke-width:1px;
}
</style>
<title>
</title>
</head>
<body>
<div>
<p class="ageslider">
<label for="nAge">Age: <span id="nAge-value">…</span><br></label>
<input id="nAge" max="100" min="5" style="width: 100px;" type="range">
</p>
<div id="gender-controls">
<p class="genderButtons">
<input checked id="nGender-male" name="gender" style="width: 12px;" type="radio" value="1" align="left">
<label for="nGender-male">Male</label>
<input id="nGender-female" name="gender" style="width: 12px; margin-left:20px;" type="radio" value="0" align="right">
<label for="nGender-female">Female</label>
</p>
<br/>
</div>
</div>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script> <script>
var intercept = -7.3381
var bmibeta = .0953
var agebeta = .0491
var malebeta = .3775
var pdata = ['prob_now', 'prob_5','prob_15'];
bmi_values = [10,11,12,13,14,15,16,17,18,18.5,19.0,19.5,20.0,
20.5,21.0,21.5,22.0,22.5,23.0,23.5,24.0,24.5,25.0,
25.5,26.0,26.5,27.0,27.5,28.0,28.5,29.0,29.5,30.0,
30.5,31.0,31.5,32.0,32.5,33.0,33.5,34.0,34.5,35.0,
35.5,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,
51,52,53,54,55,56,57,58,59,60,61,62,63,64,65]
default_age = 30
default_is_male = 1
defaultGenderText = "male"
data = [];
d3.select("#nAge-value").text(default_age);
d3.select("#nAge").property("value", default_age);
d3.select("#nGender-value").text(defaultGenderText);
d3.select("#nGender").property("value", default_is_male);
data = buildData(default_age,default_is_male);
function buildData(age,gender) {
data = []
bmi_values.forEach(function(element) {
var prob_now_calc = 1/(1 + Math.exp(-(intercept+bmibeta*element+agebeta*age+malebeta*gender)))
var prob_5_calc = 1/(1 + Math.exp(-(intercept+bmibeta*element+agebeta*(age+5)+malebeta*gender)))
var prob_15_calc = 1/(1 + Math.exp(-(intercept+bmibeta*element+agebeta*(age+15)+malebeta*gender)))
var bmi_value_object = {'bmi':element,
'prob_now':prob_now_calc,
'prob_5':prob_5_calc,
'prob_15':prob_15_calc};
data.push(bmi_value_object);
});
return data;
};
// when the input range changes update the graphs
d3.select("#nAge").on("input", function() {
default_age = +this.value;
update(default_age,default_is_male);
});
// Enable mode buttons.
d3.selectAll("#gender-controls input[name=gender]").on("change", function() {
default_is_male = +this.value;
if (default_is_male == 1) {
defaultGenderText = "male"
} else {
defaultGenderText = "female"
}
update(default_age,default_is_male);
});
// update the elements
function update(nAge,nGender) {
// adjust the text on the range slider
d3.select("#nAge-value").text(nAge);
d3.select("#nAge").property("value", nAge);
d3.select("#nGender-value").text(defaultGenderText);
d3.select("#nGender").property("value", default_is_male);
data = buildData(default_age,default_is_male);
xmain.domain(d3.extent(data, function(d) { return d.bmi; }));
y_axis_range_max_range = d3.extent(data, function(d) { return d.prob_15; });
y_axis_range_min_range = d3.extent(data, function(d) { return d.prob_now; });
y_axis_range_max = Math.min(1,y_axis_range_max_range[1]*1.1)
y_axis_range_min = y_axis_range_min_range[0]*.8
ymain.domain([y_axis_range_min,y_axis_range_max]);
xbrush.domain(xmain.domain());
ybrush.domain(ymain.domain());
focus.selectAll("path.focusdata").attr("d", function (prob_when) {
return areaMain(prob_when)(data);
});
context.selectAll("path.contextdata").attr("d", function (prob_when) {
return areaBrush(prob_when)(data);
});
focus.select(".x.axis").call(xAxis);
focus.select(".y.axis").call(yAxis);
}
// svg helpers
function brushed() {
xmain.domain(brush.empty() ? xbrush.domain() : brush.extent());
var dataFiltered = data.filter(function(d, i) {
if ( (d.bmi>= xmain.domain()[0]) && (d.bmi <= xmain.domain()[1]) ) {
return d.prob_15;
}
})
var max = d3.max(dataFiltered.map(function(d) { return d.prob_15; }));
if (typeof max === "undefined") {
ymain.domain(brush.empty() ? ybrush.domain() : y_axis_range);
} else {
y_axis_range = [0, Math.min(max*1.1,1)]
ymain.domain(brush.empty() ? ybrush.domain() : y_axis_range);
}
focus.selectAll("path.focusdata").attr("d", function (prob_when) {
return areaMain(prob_when)(data);
});
focus.select(".x.axis").call(xAxis);
focus.select(".y.axis").call(yAxis);
}
var areaMain = function (prob_when) {
return d3.svg.line()
.interpolate("monotone")
.x(function(d) {
return xmain(d.bmi); })
.y(function(d) {
return ymain(d[prob_when]);
});
};
var areaBrush = function (prob_when) {
return d3.svg.line()
.interpolate("monotone")
.x(function(d) { return xbrush(d.bmi); })
.y(function(d) { return ybrush(d[prob_when]);
});
};
//build our canvas
var margin = {top: 10, right: 60, bottom: 120, left: 50},
margin2 = {top: 350, right: 60, bottom: 60, left: 50},
width = 600 - margin.left - margin.right,
height = 450 - margin.top - margin.bottom,
height2 = 450 - margin2.top - margin2.bottom;
var xmain = d3.scale.linear().range([0, width]);
var xbrush = d3.scale.linear().range([0, width]);
var ymain = d3.scale.linear().range([height, 0]);
var ybrush = d3.scale.linear().range([height2, 0]);
var xAxis = d3.svg.axis().scale(xmain).orient("bottom");
var xAxis2 = d3.svg.axis().scale(xbrush).orient("bottom");
var yAxis = d3.svg.axis()
.scale(ymain)
.orient("left");
var brush = d3.svg.brush()
.x(xbrush)
.on("brush", brushed);
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom);
var legendRectSize = 18;
var legendSpacing = 4;
svg.append("defs").append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", width)
.attr("height", height);
var color_hash = { 0 : ["prob_now", "blue","current risk profile"],
1 : ["prob_5", "cyan","risk profile in 5 years"],
2 : ["prob_15", "black","risk profile in 15 years"]
}
// add legend
var legend = svg.append("g")
.attr("class", "legend")
.attr("height", 100)
.attr("width", 100)
.attr('transform', 'translate(-630,20)')
legend.selectAll('rect')
.data(pdata)
.enter()
.append("rect")
.attr("x", width+225)
.attr("y", function(d, i){ return i * 30;})
.attr("width", 20)
.attr("height", 20)
.style("fill", function(d) {
var color = color_hash[pdata.indexOf(d)][1];
return color;
})
legend.selectAll('text')
.data(pdata)
.enter()
.append("text")
.attr("x", width + 255)
.attr("y", function(d, i){ return i * 30 + 15;})
.text(function(d) {
var text = color_hash[pdata.indexOf(d)][2];
return text;
});
var focus = svg.append("g")
.attr("class", "focus")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var context = svg.append("g")
.attr("class", "context")
.attr("transform", "translate(" + margin2.left + "," + margin2.top + ")");
xmain.domain(d3.extent(data, function(d) { return d.bmi; }));
y_axis_range_max_range = d3.extent(data, function(d) { return d.prob_15; });
y_axis_range_min_range = d3.extent(data, function(d) { return d.prob_now; });
y_axis_range_max = Math.min(1,y_axis_range_max_range[1]*1.1)
y_axis_range_min = y_axis_range_min_range[0]*.8
ymain.domain([y_axis_range_min,y_axis_range_max]);
xbrush.domain(xmain.domain());
ybrush.domain(ymain.domain());
focus.selectAll('path')
.data(pdata)
.enter()
.append('path')
.attr('clip-path', 'url(#clip)')
.attr('d', function (prob_when) {
return areaMain(prob_when)(data);
})
.attr('class', function (prob_when) {
return "path_" + prob_when + " focusdata";
});
context.selectAll('path')
.data(pdata)
.enter()
.append('path')
.attr('clip-path', 'url(#clip)')
.attr('fill','none')
.attr('d', function (prob_when) {
return areaBrush(prob_when)(data);
})
.attr('class', function (prob_when) {
return "path_" + prob_when + " contextdata";
});
focus.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.append("text")
.attr("class", "x label")
.attr("x", width*.99)
.attr("y", -6)
.style("text-anchor", "end")
.text("Body Mass Index (BMI)");
focus.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("class", "y label")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".75em")
.style("text-anchor", "end")
.text("Probability of having Type 2 Diabetes");
context.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height2 + ")")
.call(xAxis2)
.append("text")
.attr("class", "x label")
.attr("x", width*.99)
.attr("y", -6)
.style("text-anchor", "end")
.text("Body Mass Index (BMI)");
context.append("g")
.attr("class", "x brush")
.call(brush)
.selectAll("rect")
.attr("y", 15)
.attr("height", height2-25);
// THIS CODE SHOWS THE VALUES OM THE LINE
var bisectBMI = d3.bisector(function(d) { return d.bmi; }).left
var formatProb = d3.format(",.2f")
var formatBMI = d3.format(",.1f")
var three_paths = focus.selectAll("path.focusdata")[0];
var focusMarkers = focus.append("g")
.attr("class", "focusMarkers")
.style("display", "none");
focusMarkers.selectAll("g")
.data(pdata)
.enter()
.append("g")
.attr("id", function(d, i) {
return "focusMarker_"+d;
})
.append("circle")
.attr("r", 10)
var ymarkershift = 40
var xmarkershift = -190
focusMarkers.select("g").append("text")
.attr("class","movingmarkertext")
.attr("x", xmarkershift)
.attr("y",30-ymarkershift)
.attr("dy", ".35em")
.attr("id","prob_now_circle_label");
focusMarkers.select("g").append("text")
.attr("class","movingmarkertext")
.attr("x", xmarkershift)
.attr("y",0-ymarkershift)
.attr("dy", ".35em")
.attr("id","prob_5_circle_label");
focusMarkers.select("g").append("text")
.attr("class","movingmarkertext")
.attr("x", xmarkershift)
.attr("y",-30-ymarkershift)
.attr("dy", ".35em")
.attr("id","prob_15_circle_label");
focus.append("rect")
.attr("class", "overlay")
.attr("width", width)
.attr("height", height)
.on("mouseover", function() { focusMarkers.style("display", null); })
.on("mouseout", function() { focusMarkers.style("display", "none"); })
.on("mousemove", mousemove);
var verticalLine = focus.append('line')
.attr({
'x1': 0,
'y1': 0,
'x2': 0,
'y2': height
})
.attr("stroke", "steelblue")
.attr('class', 'verticalLine');
function mousemove() {
var x0 = xmain.invert(d3.mouse(this)[0]),
i = bisectBMI(data, x0, 1),
d0 = data[i - 1],
d1 = data[i],
d = x0 - d0.bmi > d1.bmi - x0 ? d1 : d0;
xLoc = xmain(d.bmi)
focusMarkers.select("#focusMarker_prob_now")
.attr("transform", "translate(" + xLoc + "," + ymain(d.prob_now) + ")");
focusMarkers.select("#prob_now_circle_label")
.text("Current Risk: " + formatProb(d.prob_now));
focusMarkers.select("#focusMarker_prob_5")
.attr("transform", "translate(" + xLoc + "," + ymain(d.prob_5) + ")");
focusMarkers.select("#prob_5_circle_label")
.text("Risk in 5 years: " + formatProb(d.prob_5));
focusMarkers.select("#focusMarker_prob_15")
.attr("transform", "translate(" + xLoc + "," + ymain(d.prob_15) + ")");
focusMarkers.select("#prob_15_circle_label")
.text("Risk in 15 years: " + formatProb(d.prob_15));
d3.select(".verticalLine").attr("transform", function () {
return "translate(" + xLoc + ",0)";
});
}
</script>
</body>
</html>