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Analysis-Tool.html
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Analysis-Tool.html
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<!DOCTYPE html>
<meta charset="utf-8">
<head>
<title>Graduate Student Data</title>
</head>
<style>
/*added for parallel sets*/
@import url(http://www.jasondavies.com/parallel-sets/d3.parsets.css);
/*added for stacked bar graph*/
.axis path,
.axis line {
fill: none;
stroke: #000;
}
path.domain {
stroke: none;
}
.y .tick line {
stroke: #ddd;
}
/* added for box and whisker*/
body {
font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.box {
font: 10px sans-serif;
}
.box line,
.box rect,
.box circle {
fill: steelblue;
stroke: #000;
stroke-width: 1px;
}
.box .center {
stroke-dasharray: 3,3;
}
.box .outlier {
fill: red;
stroke: #000;
}
.axis {
font: 12px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.x.axis path {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
/* added for parallel sets */
h1, h2, .dimension text {
text-align: center;
font-family: "PT Sans", Helvetica;
font-weight: 300;
}
h1 {
font-size: 4em;
margin: .5em 0 0 0;
}
h2 {
font-size: 2em;
margin: 1em 0 0.5em;
border-bottom: solid #ccc 1px;
}
p.meta, p.footer {
font-size: 13px;
color: #333;
}
p.meta {
text-align: center;
}
text.icicle { pointer-events: none; }
.source { float: right; }
pre, code { font-family: "Menlo", monospace; }
.html .value,
.javascript .string,
.javascript .regexp {
color: #756bb1;
}
.html .tag,
.css .tag,
.javascript .keyword {
color: #3182bd;
}
.comment {
color: #636363;
}
.html .doctype,
.javascript .number {
color: #31a354;
}
.html .attribute,
.css .attribute,
.javascript .class,
.javascript .special {
color: #e6550d;
}
div.tooltip2 {
position: absolute;
text-align: center;
width: 30px;
height: 15px;
font: 12px sans-serif;
background: lightsteelblue;
border: 0px;
pointer-events: none;
font-weight: bold;
text-align: center;
}
#stackedbar {
float:left;
width:50%;
overflow: hidden;
}
#vis {
float:left;
width:50%;
}
#dropDown{
float:left;
width:100%;
}
.dropDown1Style {
float:left;
display:inline-block;
margin-right: 10px;
}
.dropDown2Style {
float:left;
display:inline-block;
margin-right: 10px;
}
#dropDown1{
float:left;
display:inline-block;
margin-right: 30px;
margin-top: 10px;
}
#dropDown2{
float:left;
display:inline-block;
margin-top: 10px;
}
#boxDropdown{
clear:both;
width: 100%;
}
#resetButton{
display: inline-block;
}
#checkbox{
width:100%;
float:left;
margin-top: 10px;
}
.checkboxStyle{
float:left;
}
.lineargradient{
float:left;
width: 100%;
/*margin-right: 30px;*/
}
.lineargradienttext {
float:left;
width: 100%;
}
</style>
<body>
<div class="buttonStyle">
<input class="loadFile" type="file" accept=".csv" style="margin: 5px; margin-right: 15px">
<div id="resetButton"></div>
</div>
<div id="stackedbar"></div>
<div id="vis"></div>
<div class="lineargradienttext">
</div>
<div class="lineargradient"></div>
<div id="dropDown">
<div id="dropDown1"></div>
<div id="dropDown2"></div>
</div>
<div id="checkbox"></div>
<div id="boxwhisker" width="100%">
</div>
<div id="boxDropdown"></div>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script src="http://www.jasondavies.com/parallel-sets/d3.parsets.js"></script>
<script src="http://www.jasondavies.com/parallel-sets/highlight.min.js"></script>
<script src="box.js"></script>
<script>
var labels = true; // show the text labels beside individual boxplots?
var margin = {top: 30, right: 50, bottom: 70, left: 100};
var width = 600 - margin.left - margin.right;
var height = 250 - margin.top - margin.bottom;
var margin_svg = {top: 30, right: 50, bottom: 70, left: window.innerWidth/3};
var width_svg = window.innerWidth;
var height_svg = 150;
var dataMap = {};
var min = 0, max = 0;
var globalColors = ["#1f77b4", "#FF7F0E","#2CA02C","#D62728","#FF67BD","#8C564B", "#E377C2","#7F7F7F","#BCBD22","#17BECF","#F0027F","#BF5B17","#1B9E77","#D95F02","#7570B3","#6A3D9A","#FFFF99","#FFe119","#F58231","#911eb4","#42d4f4","#BFEF45","#469990","#E6BEFF","#AAFFC3","#808000","#A9A9A9","#003300","#63FFFF"];
var yAxisText = ""
var dropdownMap = {};
var secondAttribute = "";
var entityName = "";
var parentAttribute = "";
var xaxisCount = {};
var boxwhiskerDDValues = [];
var visDDValues = [];
var xAxisValueBarGraph = "";
var yAxisValueBarGraph = "";
var globalData;
var minThresholdData = [];
var filterData = [];
var filterkeys = {};
var filterArea= "";
var activeElements = [];
var analdegrees = [];
var minimumThreshold = 0;
var multiSelect = false;
var parallelSetsDropDown = [];
d3.json("dropDownValues.json", function(data){
boxwhiskerDDValues = data["boxwhisker"]["dropDownList"];
visDDValues = data["visDropDown"];
parallelSetsDropDown = data["parallelSetsDropDown"];
boxwhiskerDDValues.forEach(function(value){
dropdownMap[value] = data["boxwhisker"]["dropDownValues"][value]
});
});
d3.select(".loadFile").on("change", function() {
var file = d3.event.target.files[0];
if (file) {
var reader = new FileReader();
reader.readAsDataURL(file);
reader.onloadend = function(evt) {
var dataUrl = evt.target.result;
d3.csv(dataUrl, function(csv){
xAxisValueBarGraph = 'Citizenship Country';
yAxisValueBarGraph = 'Final Degree';
let len = csv.length;
minThresholdData = [];
for(let i=0 ; i < len; i++){
let tempAnalVAlue = csv[i]["Anal Degree"];
let tempGradValue = csv[i]["Grad Degree?"];
let tempDateEnteredPrimaryValue = csv[i]["Date Entered Primary"].trim();
let tempPriorDegreeValue = csv[i]["Prior Degrees"];
let tempXAxisValue = csv[i][xAxisValueBarGraph];
csv[i]["Final Degree"] = tempAnalVAlue;
if(analdegrees.indexOf(tempAnalVAlue) == -1 && tempAnalVAlue != ""){
analdegrees.push(tempAnalVAlue);
}
if(!tempGradValue) {
csv[i]["Grad Degree?"] = "No";
}
if(tempDateEnteredPrimaryValue != "") {
csv[i]["Date Entered as Primary"] = tempDateEnteredPrimaryValue.substring(0,4);
}
else {
csv[i]["Date Entered as Primary"] = tempDateEnteredPrimaryValue;
}
if(tempPriorDegreeValue) {
if(tempPriorDegreeValue.includes("PHD")) {
csv[i]["Prior Degrees"] = "PHD";
}
else if(tempPriorDegreeValue.includes("MBA")){
csv[i]["Prior Degrees"] = "MBA";
}
else if(tempPriorDegreeValue.includes("MS")){
csv[i]["Prior Degrees"] = "MS";
}
else if(tempPriorDegreeValue.includes("MTech")){
csv[i]["Prior Degrees"] = "MTech";
}
else if(tempPriorDegreeValue.includes("BS") || tempPriorDegreeValue.includes("BE") || tempPriorDegreeValue.includes("BTECH")) {
csv[i]["Prior Degrees"] = "Bachelors";
}
else if(tempPriorDegreeValue.includes("BA")){
csv[i]["Prior Degrees"] = "BA";
}
}
else {
csv[i]["Prior Degrees"] = "No Degree"
}
if(!(tempXAxisValue in xaxisCount) && csv[i][yAxisValueBarGraph].trim() != ""){
xaxisCount[tempXAxisValue] = 1;
}
else {
xaxisCount[tempXAxisValue] = xaxisCount[tempXAxisValue] + 1;
}
minThresholdData.push(Object.assign({}, csv[i]));
}
globalData = csv;
renderPlots(csv);
});
d3.select("#resetButton")
.selectAll('button').remove();
d3.select("#resetButton")
.append("button")
.text("Reset")
}
}
});
d3.select("#resetButton")
.on("click", function() {
xAxisValueBarGraph = 'Citizenship Country';
yAxisValueBarGraph = 'Final Degree';
filterData = [];
filterkeys = {};
activeElements=[];
multiSelect = false;
updateMinThresholdData();
minimumThreshold = 0;
renderPlots(globalData);
});
var div = d3.select("body").append("div")
.attr("class", "tooltip2")
.style("opacity", 0);
function countXaxisValue() {
xaxisCount = {};
for(let i=0; i<minThresholdData.length; i++) {
let tempxaxisvalue = minThresholdData[i][xAxisValueBarGraph];
if(!(tempxaxisvalue in xaxisCount) && minThresholdData[i][yAxisValueBarGraph].trim() != ""){
xaxisCount[tempxaxisvalue] = 1;
}
else {
xaxisCount[tempxaxisvalue] = xaxisCount[tempxaxisvalue] + 1;
}
}
}
function updateMinThresholdData() {
if(minimumThreshold != 0) {
minThresholdData = [];
for(let i=0; i<globalData.length;i++) {
minThresholdData.push(Object.assign({}, globalData[i]));
}
document.getElementById("minThreshold").value= "";
}
}
function renderPlots(csv){
//let t6 = performance.now();
plot_stacked_bar(csv);
//let t7 = performance.now();
//console.log("Call to do stacked bar took" + (t7 - t6) + " milliseconds.");
plot_linear_gradient();
//let t0 = performance.now();
renderBarGraphDD(csv);
//let t1 = performance.now();
//console.log("Call to do Dropdowns took " + (t1 - t0) + " milliseconds.");
//let t2 = performance.now();
plot_box_whisker(csv);
//let t3 = performance.now();
//console.log("Call to do Box and whisper bar took " + (t3 - t2) + " milliseconds.");
//let t4 = performance.now();
plot_parallel_sets(csv);
//let t5 = performance.now();
//console.log("Call to do parallel sets took " + (t5 - t4) + " milliseconds.");
};
function updateBarGraph(csv){
//let t0 = performance.now();
plot_stacked_bar(csv);
//let t1 = performance.now();
//console.log("Call to do updated stacked bar took" + (t1 - t0) + " milliseconds.");
//let t2 = performance.now();
plot_box_whisker(csv);
//let t3 = performance.now();
//console.log("Call to do updated Box and whisper bar took" + (t3 - t2) + " milliseconds.");
//let t4 = performance.now();
plot_parallel_sets(csv);
//let t5 = performance.now();
//console.log("Call to do updated parallel sets took" + (t5 - t4) + " milliseconds.");
}
function removeStylings(area) {
let len = activeElements.length;
for(let i=0; i< len; i++) {
activeElements[i].style("font-weight","normal");
activeElements[i].style("outline-style","none");
}
activeElements = [];
}
function preprocessDataOnMinThreshold(numb){
let len = minThresholdData.length;
for(let i =0; i < len; i++) {
let xaxisValue = minThresholdData[i][xAxisValueBarGraph];
if(xaxisCount[xaxisValue] < numb) {
minThresholdData[i][xAxisValueBarGraph] = "Other";
}
}
countXaxisValue();
filterData = [];
filterkeys = {};
activeElements=[];
updateBarGraph(minThresholdData);
}
// Process the data based on the values selected from the stacked bar graph - if only x-axis is selected
function preprocessDataOneAxisOnly(data, axisValue, axisName, area){
if(!filterArea) {
filterArea = area;
}
else if(filterArea != area){
filterArea = area;
filterkeys = {};
filterData = [];
removeStylings(area);
activeElements=[];
}
if(!multiSelect){
removeStylings(area);
filterData = [];
filterkeys = {};
activeElements=[];
}
if(!(axisValue in filterkeys)) {
filterkeys[axisValue] = 1;
data.forEach(function(d){
if(d[axisName] && d[axisName] == axisValue){
filterData.push(d);
}
});
plot_box_whisker(filterData);
plot_parallel_sets(filterData);
}
};
// Process the data based on the values selected from the stacked bar graph - if both axes are selected
function preprocessDataBothAxes(data, axisName1, axisValue1, axisName2, axisValue2){
if(!filterArea) {
filterArea = "Rect";
}
else if(filterArea != "Rect"){
filterArea = "Rect";
filterkeys = {};
filterData = [];
removeStylings("Rect");
activeElements=[];
}
if(!multiSelect){
removeStylings("Rect");
filterData = [];
filterkeys = {};
activeElements=[];
}
if(!(axisValue1 + axisValue2 in filterkeys)){
filterkeys[axisValue1 + axisValue2] = 1;
data.forEach(function(d){
if((d[axisName1] && d[axisName1] == axisValue1) && (d[axisName2] && d[axisName2] == axisValue2)){
//modifiedData.push(d);
filterData.push(d);
}
});
plot_box_whisker(filterData);
plot_parallel_sets(filterData);
}
};
function plot_linear_gradient() {
d3.select(".lineargradient").selectAll("svg").remove();
d3.select(".lineargradienttext").selectAll("span").remove();
let lineargradient = d3.select(".lineargradient").append("svg").attr("height", 25);
//Append a defs (for definition) element to your SVG
let defs = lineargradient.append("defs");
//Append a linearGradient element to the defs and give it a unique id
let linearGradient = defs.append("linearGradient")
.attr("id", "linear-gradient");
linearGradient
.attr("x1", "0%")
.attr("y1", "0%")
.attr("x2", "100%")
.attr("y2", "0%");
//Set the color for the start (0%)
linearGradient.append("stop")
.attr("offset", "0%")
.attr("stop-color", "#ffffff"); //light blue
//Set the color for the end (100%)
linearGradient.append("stop")
.attr("offset", "100%")
.attr("stop-color", "#000000"); //dark blue
//Draw the rectangle and fill with gradient
lineargradient.append("rect")
.attr("width", 300)
.attr("height", 20)
.style("fill", "url(#linear-gradient)");
d3.select(".lineargradienttext")
.append("span")
.text("0% success rate")
d3.select(".lineargradienttext")
.append("span")
.style("margin-left", "165px")
.text("100% success rate")
d3.select(".lineargradient").style("display", "none");
d3.select(".lineargradienttext").style("display", "none");
}
//Plot box and whisker
function plot_box_whisker(csv){
// using an array of arrays with
// data[n][2]
// where n = number of columns in the csv file
// data[i][0] = name of the ith column
// data[i][1] = array of values of ith column
d3.select("#boxDropdown").selectAll('select').remove();
d3.select("#boxwhisker").selectAll('svg').remove();
var select = d3.select("#boxDropdown")
.insert("select", "svg")
.attr('class','select')
.on('change',onchange);
var options = select
.selectAll('option')
.data(boxwhiskerDDValues).enter()
.append('option')
.text(function (d) { return d; });
function onchange() {
selectValue = d3.select("#boxDropdown").select('select').property('value');
updateBoxWhisker(selectValue);
}
var updateBoxWhisker = function(selectValue){
max = 0;
dataMap = {};
yAxisText = selectValue;
secondAttribute = dropdownMap[selectValue][0];
entityName = dropdownMap[selectValue][1];
parentAttribute = dropdownMap[selectValue][2];
//added so that multiple boxes are not rendered after changing the dropdown value
d3.select("#boxwhisker").selectAll('svg').remove();
let tempYearValues = new Set();
csv.forEach(function(x) {
if(x[parentAttribute]!= "" && x[secondAttribute] != "" && x["Date Entered Primary"]!=""){
tempYearValues.add(x["Date Entered Primary"].substring(0,4));
}
});
let yearValues = Array.from(tempYearValues).sort();
var data = [];
var i = 0;
yearValues.forEach(function(year){
data[i] = [];
data[i][0] = year;
data[i][1] = [];
i++;
});
var i = 0;
yearValues.forEach(function(year){
data[i][1] = [];
i++;
});
var i = 0;
yearValues.forEach(function(year){
data[i][2] = [];
i++;
});
csv.forEach(function(x) {
addValueToKey(x["Date Entered Primary"], x[secondAttribute], x[parentAttribute], x);
});
let counter = 0;
yearValues.forEach(function(x) {
if(dataMap[x][0]){
dataMap[x][0].forEach(function (val){
data[counter][1].push(val);
});
counter++;
}
});
let counter1 = 0;
yearValues.forEach(function(x) {
if(dataMap[x][1]){
dataMap[x][1].forEach(function (val){
data[counter1][2].push(val);
});
counter1++;
}
});
max = max + 10;
var chart_box = d3.box()
.whiskers(iqr(1.5))
.height(height)
.domain([min, max])
.showLabels(labels);
var svg = d3.select("#boxwhisker").append("svg")
.attr("width", width_svg)
.attr("height", height_svg + margin.top + margin.bottom + 50)
.attr("class", "box")
.append("g")
.attr("transform", "translate(" + margin_svg.left + "," + margin_svg.top + ")");
// the x-axis
var x = d3.scale.ordinal()
.domain( data.map(function(d) {
return d[0] } ) )
.rangeRoundBands([0 , width], 0.7, 0.3);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
// the y-axis
var y = d3.scale.linear()
.domain([min, max])
.range([height + margin.top, 0 + margin.top]);
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
// draw y axis
var yAxisData = svg.append("g")
.attr("class", "y axis")
.call(yAxis).append("text") // and text1
.attr("transform", "rotate(-90)")
.attr("y", -50)
.attr("x", -75)
.attr("dy", ".71em")
.style("text-anchor", "end")
.style("font-size", "14px")
.text(yAxisText);
// draw x axis
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + (height + margin.top + 20) + ")")
.call(xAxis)
.append("text") // text label for the x axis
.attr("x", (width / 2) )
.attr("y", 25)
.attr("dy", ".71em")
.style("text-anchor", "middle")
.style("font-size", "14px")
.text("Year")
var boxes = svg.selectAll(".box")
.data(data)
boxes.enter().append("g")
.attr("transform", function(d) {
return "translate(" + x(d[0]) + "," + margin.top + ")"; } )
.call(chart_box.width(x.rangeBand()));
// Update old ones, already have x / width from before
boxes
.transition().duration(250);
boxes.exit().remove();
};
var initialData = "Time to prelim";
updateBoxWhisker(initialData);
}
// Returns a function to compute the interquartile range.
function iqr(k) {
return function(d, i) {
var q1 = d.quartiles[0],
q3 = d.quartiles[2],
iqr = (q3 - q1) * k,
i = -1,
j = d.length;
while (d[++i] < q1 - iqr);
while (d[--j] > q3 + iqr);
return [i, j];
};
}
function addValueToKey(key, value, parentAttribute, x) {
if(key != "" && value != "" && parentAttribute!=""){
value = calculateDerivedTime(parentAttribute,value);
key = key.substring(0,4);
dataMap[key] = dataMap[key] || [];
dataMap[key][0] = dataMap[key][0] || [];
dataMap[key][1] = dataMap[key][1] || [];
dataMap[key][0].push(parseInt(value));
dataMap[key][1].push(x);
if(parseInt(value) > max){
max = parseInt(value);
}
}
}
function calculateDerivedTime(datePrimary, examDate){
var primary_date = new Date(datePrimary.substring(0,4)+"/"+datePrimary.substring(4,6)+"/"+datePrimary.substring(6,8));
var derived_date = new Date(examDate.substring(0,4)+"/"+examDate.substring(4,6)+"/"+examDate.substring(6,8));
var timeDiff = Math.abs(derived_date.getTime() - primary_date.getTime());
var diffMonths = Math.floor(timeDiff / (1000 * 3600 * 24 * 30));
return diffMonths;
}
// Added for parallel sets
function plot_parallel_sets(csv){
d3.select("#vis").selectAll('svg').remove();
var chart = d3.parsets().width((window.innerWidth/2) - 100).height(400)
.dimensions(parallelSetsDropDown);
var vis = d3.select("#vis").append("svg")
.attr("width", chart.width())
.attr("height", chart.height());
var partition = d3.layout.partition()
.sort(null)
.size([chart.width(), chart.height() * 5 / 4])
.children(function(d) { return d.children ? d3.values(d.children) : null; })
.value(function(d) { return d.count; });
var ice = false;
vis.datum(csv).call(chart);
window.icicle = function() {
var newIce = this.checked,
tension = chart.tension();
if (newIce === ice) return;
if (ice = newIce) {
var dimensions = [];
vis.selectAll("g.dimension")
.each(function(d) { dimensions.push(d); });
dimensions.sort(function(a, b) { return a.y - b.y; });
var root = d3.parsets.tree({children: {}}, csv, dimensions.map(function(d) { return d.name; }), function() { return 1; }),
nodes = partition(root),
nodesByPath = {};
nodes.forEach(function(d) {
var path = d.data.name,
p = d;
while ((p = p.parent) && p.data.name) {
path = p.data.name + "\0" + path;
}
if (path) nodesByPath[path] = d;
});
var data = [];
vis.on("mousedown.icicle", stopClick, true)
.select(".ribbon").selectAll("path")
.each(function(d) {
var node = nodesByPath[d.path],
s = d.source,
t = d.target;
s.node.x0 = t.node.x0 = 0;
s.x0 = t.x0 = node.x;
s.dx0 = s.dx;
t.dx0 = t.dx;
s.dx = t.dx = node.dx;
data.push(d);
});
iceTransition(vis.selectAll("path"))
.attr("d", function(d) {
var s = d.source,
t = d.target;
return ribbonPath(s, t, tension);
})
.style("stroke-opacity", 1);
iceTransition(vis.selectAll("text.icicle")
.data(data)
.enter().append("text")
.attr("class", "icicle")
.attr("text-anchor", "middle")
.attr("dy", ".3em")
.attr("transform", function(d) {
return "translate(" + [d.source.x0 + d.source.dx / 2, d.source.dimension.y0 + d.target.dimension.y0 >> 1] + ")rotate(90)";
})
.text(function(d) { return d.source.dx > 15 ? d.node.name : null; })
.style("opacity", 1e-6))
.style("opacity", 1);
iceTransition(vis.selectAll("g.dimension rect, g.category")
.style("opacity", 1))
.style("opacity", 1e-6)
.each("end", function() { d3.select(this).attr("visibility", "hidden"); });
iceTransition(vis.selectAll("text.dimension"))
.attr("transform", "translate(0,-5)");
vis.selectAll("tspan.sort").style("visibility", "hidden");
} else {
vis.on("mousedown.icicle", null)
.select(".ribbon").selectAll("path")
.each(function(d) {
var s = d.source,
t = d.target;
s.node.x0 = s.node.x;
s.x0 = s.x;
s.dx = s.dx0;
t.node.x0 = t.node.x;
t.x0 = t.x;
t.dx = t.dx0;
});
iceTransition(vis.selectAll("path"))
.attr("d", function(d) {
var s = d.source,
t = d.target;
return ribbonPath(s, t, tension);
})
.style("stroke-opacity", null);
iceTransition(vis.selectAll("text.icicle"))
.style("opacity", 1e-6).remove();
iceTransition(vis.selectAll("g.dimension rect, g.category")
.attr("visibility", null)
.style("opacity", 1e-6))
.style("opacity", 1);
iceTransition(vis.selectAll("text.dimension"))
.attr("transform", "translate(0,-25)");
vis.selectAll("tspan.sort").style("visibility", null);
}
};
d3.select("#icicle")
.on("change", icicle)
.each(icicle);
}
function iceTransition(g) {
return g.transition().duration(1000);
}
function ribbonPath(s, t, tension) {
var sx = s.node.x0 + s.x0,
tx = t.node.x0 + t.x0,
sy = s.dimension.y0,
ty = t.dimension.y0;
return (tension === 1 ? [
"M", [sx, sy],
"L", [tx, ty],
"h", t.dx,
"L", [sx + s.dx, sy],
"Z"]
: ["M", [sx, sy],
"C", [sx, m0 = tension * sy + (1 - tension) * ty], " ",
[tx, m1 = tension * ty + (1 - tension) * sy], " ", [tx, ty],
"h", t.dx,
"C", [tx + t.dx, m1], " ", [sx + s.dx, m0], " ", [sx + s.dx, sy],
"Z"]).join("");
}