Heart Rate levels normalized for each training run from January 2015 - August 2015.
I got all the training run data from my Garmin Fenix 2. This was during my training for the Leadville 100.
I am reloading this, as there’s been an issue with my bl.ocks site
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.x.axis path {
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stroke:#000;
shape-rendering: crispEdges;
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.line {
stroke: url(#heartRate-gradient);
fill: none;
stroke-width: 7px;
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<body>
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<button id='button'>click me</button>
<br />
<script>
var margin = {top: 20, right: 80, bottom: 30, left: 50},
width = 900 - margin.left - margin.right,
height = 450 - margin.top - margin.bottom;
var x = d3.scale.linear()
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var y = d3.scale.linear()
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var yAxis = d3.svg.axis()
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.tickSize(-width, 0, 0)
.orient("left");
var line = d3.svg.line()
.interpolate("basis")
.x(function(d) { return x(d['percentRemaining']); })
.y(function(d) { return y(d['heartRate']); });
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
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d3.csv("merged.csv", function(error, data) {
data = data.filter(function(d) { return d.lookup != "lookup"; });
data = data.map( function (d) {
return {
lookup: d['lookup'],
percentRemaining: +d['percentRemaining']*100,
heartRate: Math.round(d['heart_rate(bpm)']) };
});
console.log("pre-nested", data)
data = d3.nest()
.key(function(d) { return d.lookup; })
.sortKeys(d3.ascending)
.sortValues(function(a,b) { return b.percentRemaining - a.percentRemaining; } )
.entries(data);
console.log("post-nested", data)
svg.append("g")
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svg.append("line")
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svg.append("g")
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svg.append("line")
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.attr("x1", 0)
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.attr("y1", 0)
.attr("y2", height - 2)
.style("stroke-width", 2)
.style("stroke", "#fff");
svg.append("path")
.attr("d", function(d) { return "M 0," + y(160) + ", L " + width + "," + y(160); })
.attr("clip-path", "url(#rect-clip)")
.style("stroke", "#000")
.style("fill","none")
.style("stroke-opacity", .75)
.style("stroke-width", 1);
svg.append("path")
.attr("d", function(d) { return "M 0," + y(130) + ", L " + width + "," + y(130); })
.attr("clip-path", "url(#rect-clip)")
.style("stroke", "#000")
.style("fill","none")
.style("stroke-opacity", .75)
.style("stroke-width", 1);
svg.append("rect")
.attr("x",0)
.attr("y",-10)
.attr("width",100)
.attr("height",30)
.style("fill","#fff");
svg.append("text")
.attr("x",2)
.attr("y",4)
.style("background-color","white")
.style("opacity", .80)
.text("Heart Rate (BPM)")
svg.append("text")
.attr("x",2)
.attr("y",4)
.style("background-color","white")
.style("opacity", .80)
.text("Heart Rate (BPM)")
var runs = svg.selectAll(".run")
.data(data, function(d) { return d.key; })
.enter().append("g")
.attr("id", function(d) { return d.key; })
.attr("class", "run");
svg.append("clipPath")
.attr("id", "rect-clip")
.append("rect")
.attr("width", width)
.attr("height", height);
svg.append("linearGradient")
.attr("id", "heartRate-gradient")
.attr("gradientUnits", "userSpaceOnUse")
.attr("x1", 0).attr("y1", y(100))
.attr("x2", 0).attr("y2", y(200))
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{offset: "0%", color: "black"},
{offset: "30%", color: "black"},
{offset: "30%", color: "#4fb13c"},
{offset: "60%", color: "#4fb13c"},
{offset: "60%", color: "red"},
{offset: "100%", color: "red"}
])
.enter().append("stop")
.attr("offset", function(d) { return d.offset; })
.attr("stop-color", function(d) { return d.color; });
runs.append("path")
.attr("class", "line")
.attr("d", function(d) { return line(d.values); })
.attr("clip-path", "url(#rect-clip)")
// .style("stroke", "red")
.style("stroke-opacity", 0);
runs.append("text")
.attr("class","linetext")
.text(function(d) { return d.key; })
.attr("x", width - 100)
.attr("y", 18)
.style("fill", "none")
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d3.selectAll("#button").on("click", function(){
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// .style("stroke","#000")
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.style("stroke-width",1.5)
.transition()
.duration(1000)
.style("stroke-opacity",0)
.transition()
.duration(1)
.style("stroke", "url(#heartRate-gradient);")
.style("stroke-width",7);
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