First Visualization of Race Data
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@ -31,3 +31,9 @@ body {
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top: 0; /* not 10px, but 0 instead */
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top: 0; /* not 10px, but 0 instead */
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left: 0;
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left: 0;
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}
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}
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.line {
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fill: none;
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stroke: steelblue;
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stroke-width: 2px;
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}
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@ -44,15 +44,19 @@
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<main role="main" class="container">
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<main role="main" class="container">
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<div class="content-box">
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<div class="content-box">
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<h1>Hallo!</h1>
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<h1>Rennen, Brumm, Brumm!</h1>
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<p class="lead">
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<p class="lead">
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Mit Bootstrap sieht alles per Default ein wenig hübscher aus.<br>
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Eingerückt wird mit 2 Leerzeichen pro Einrückungsebene.<br>
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Eingerückt wird mit 2 Leerzeichen pro Einrückungsebene.<br>
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Charset ist UTF-8.<br>
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Charset ist UTF-8.<br>
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TODO
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TODO
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</p>
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</p>
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</div>
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</div>
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<div class="content-box chart-box">
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<p>Hier erscheint gleich ein Diagramm.</p>
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<div id="lineGraphBox"></div>
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</div>
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<div class="content-box chart-box">
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<div class="content-box chart-box">
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<p>Hier erscheint gleich ein Test-Diagramm.</p>
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<p>Hier erscheint gleich ein Test-Diagramm.</p>
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<div id="testchartbox"></div>
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<div id="testchartbox"></div>
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118
js/diagrams.js
118
js/diagrams.js
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@ -1,80 +1,58 @@
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"use strict";
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"use strict";
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/*
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// https://bl.ocks.org/mbostock/3884955
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* This may be restructured in the future - code to create diagrams will live here.
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function createLineGraph(containerId, raceData){
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*/
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function createTestPieChart(containerId, dataset) {
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var width = 1000;
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var height = 1000;
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var height = 1000;
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// Build the basic container for the chart
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var width = 1000;
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var svg = d3.select(containerId)
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.append("div")
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// set the dimensions and margins of the graph
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.classed("svg-container", true)
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var margin = {top: 20, right: 20, bottom: 30, left: 50},
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.append("svg")
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width = width - margin.left - margin.right,
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.attr("preserveAspectRatio", "xMinYMin meet")
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height = height - margin.top - margin.bottom;
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.attr("viewBox", "0 0 " + width + " " + height + "")
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.classed("svg-content-responsive", true)
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// set the ranges
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var x = d3.scaleLinear().range([0, width]);
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var y = d3.scaleLinear().range([height, 0]);
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var allLineData = raceDataToLineData(raceData);
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// defines how the passed in Data, at "svg.append" shall be interpreted
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var lineDataDefinition = d3.line()
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.x(function(d) { return x(d.lap); })
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.y(function(d) { return y(d.position); });
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// append the svg obgect to the body of the page
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// appends a 'group' element to 'svg'
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// moves the 'group' element to the top left margin
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var svg = d3.select(containerId).append("svg")
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.attr("width", width + margin.left + margin.right)
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.attr("height", height + margin.top + margin.bottom)
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.append("g")
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.append("g")
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.classed("main-group", true)
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.attr("transform",
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.attr("transform", "translate(" + (width / 2) + "," + (height / 2) + ")");
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"translate(" + margin.left + "," + margin.top + ")");
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var arcs = svg.append("g").classed("pie-chart-arcs", true);
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// Scale the range of the data
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var labels = svg.append("g").classed("pie-chart-labels", true);
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x.domain([0, raceData.lapTimes.size]);
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var lines = svg.append("g").classed("pie-chart-lines", true);
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y.domain([raceData.drivers.length, 1]);
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// Preparations are done, now let's build the pie chart
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// Adds all lines
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var maxRadius = Math.min(width, height) / 2;
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allLineData.forEach((singleLineData) => {
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var radius = maxRadius * 0.4;
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svg.append("path")
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var color = d3.scaleOrdinal(d3.schemeCategory10);
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.data([singleLineData])
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.attr("class", "line")
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.attr("d", lineDataDefinition);
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});
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var arc = d3.arc()
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// Add the X Axis
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.innerRadius(radius*0.4)
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svg.append("g")
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.outerRadius(radius);
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.attr("transform", "translate(0," + height + ")")
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.call(d3.axisBottom(x));
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var pie = d3.pie()
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.sort(function(a, b) { return b.count - a.count })
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.value(function(d) { return d.count; });
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arcs.selectAll("path")
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.data(pie(dataset))
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.enter()
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.append("path")
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.attr("d", arc)
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.attr("fill", function(d, i) {
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return color(d.data.label);
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});
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labels.selectAll("text")
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.data(pie(dataset))
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.enter()
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.append("text")
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.attr("dy", ".35em")
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.text(function(d) {
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console.log(d);
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return d.data.label;
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});
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function midAngle(d) {
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return d.startAngle + (d.endAngle - d.startAngle) / 2;
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}
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lines.selectAll("polyline")
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.data(pie(dataset))
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.enter()
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.append("polyline")
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.transition()
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.duration(1000)
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.attrTween("points", function(d) {
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this._current = this._current || d;
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var interpolate = d3.interpolate(this._current, d);
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this._current = interpolate(0);
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return function(t) {
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var d2 = interpolate(t);
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var pos = outerArc.centroid(d2);
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pos[0] = radius * 0.95 * (midAngle(d2) < Math.PI ? 1 : -1);
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return [arc.centroid(d2), outerArc.centroid(d2), pos];
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};
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})
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// Add the Y Axis on both sides
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svg.append("g")
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.call(d3.axisLeft(y));
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svg.append("g")
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.call(d3.axisRight(y))
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.attr("transform", "translate( " + (width) + ", 0 )");
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}
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}
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@ -6,6 +6,6 @@
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preprocessor.load(function(data) {
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preprocessor.load(function(data) {
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createTestPieChart("#testchartbox", queries.getDriversByNationality());
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createLineGraph("#lineGraphBox", processor.getRace(1));
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});
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});
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25
js/util.js
25
js/util.js
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@ -37,3 +37,28 @@ var loadingDialog = {
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$(this.id + " .progress-bar").attr("style", "width: " + percentage + "%;");
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$(this.id + " .progress-bar").attr("style", "width: " + percentage + "%;");
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},
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},
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};
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};
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//Gets the position of Driver with driverid in specific lap
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function getPositionOfDriver(driver, lap, defaultReturn){
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var lapEntryWithDrivId =lap.filter( drivLap => drivLap.driverId == driver.driverId );
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if(lapEntryWithDrivId.length > 0){
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return lapEntryWithDrivId[0].position;
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}else{
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return defaultReturn;
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}
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}
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// transforms the raceData to a format, with which lineDataDefinition can work
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function raceDataToLineData(raceData){
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// define the lines
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var lineData = [];
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raceData.drivers.forEach((driver, drivIn)=>{
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lineData.push();
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var lapsOfDriverInLineDataFormat = [];
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raceData.lapTimes.forEach((lap, lapIn) => {
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lapsOfDriverInLineDataFormat.push({ 'lap': lapIn, 'position': getPositionOfDriver(driver, lap, raceData.drivers.length)});
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});
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lineData.splice(drivIn, 0, lapsOfDriverInLineDataFormat);
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});
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return lineData;
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}
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