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<!DOCTYPE html>
<meta charset="utf-8">
<html lang="en">
<head>
<title>Visualization Programming in d3.js: Coordination of Multiple Visualizations</title>
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" href="https://www.w3schools.com/w3css/4/w3.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">
<!-- Load d3.js -->
<script src="https://d3js.org/d3.v4.js"></script>
<script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script>
<style>
/* Remove the navbar's default margin-bottom and rounded borders */
.navbar {
margin-bottom: 0;
border-radius: 0;
}
/* Set height of the grid so .sidenav can be 100% (adjust as needed) */
.row.content {
height: 1200px
}
/* Set gray background color and 100% height */
.sidenav {
padding-top: 20px;
background-color: #f1f1f1;
height: 100%;
}
/* Set black background color, white text and some padding */
footer {
background-color: #555;
color: white;
padding: 15px;
}
/* On small screens, set height to 'auto' for sidenav and grid */
@media screen and (max-width: 767px) {
.sidenav {
height: auto;
padding: 15px;
}
.row.content {
height: auto;
}
}
#mainWrapper {
height: auto;
width: 500px;
}
#selectionPane {
position: absolute;
top: 50px;
left: 500px;
height: 40px;
font-size: 18px;
}
#histogram {
position: absolute;
top: 100px;
left: 300px;
width: 150px;
height: 400px;
}
#histogram_bins {
position: absolute;
top: 500px;
left: 350px;
width: 200px;
height: 400px;
}
#heatmap {
position: absolute;
top: 100px;
left: 800px;
width: 100px;
height: 400px;
}
#density_plot {
position: absolute;
top: 650px;
left: 300px;
width: 100px;
height: 400px;
}
#density_plot_buttons {
position: absolute;
top: 1060px;
left: 400px;
width: 200px;
height: 200px;
}
#scatter_plot {
position: absolute;
top: 650px;
left: 850px;
width: 100px;
height: 800px;
}
#scatter_plot_limits {
position: absolute;
top: 1060px;
left: 1000px;
width: 200px;
height: 200px;
}
.slice {
font-size: 12pt;
font-family: Verdana;
fill: white;
/*svg specific - instead of color*/
font-weight: bold;
}
/*for line chart*/
.axis path,
.axis line {
fill: none;
stroke: black;
shape-rendering: crispEdges;
/*The shape-rendering property is an SVG attribute, used here to make sure our axis and its tick mark lines are pixel-perfect. */
}
.line {
fill: none;
/*stroke: steelblue;*/
stroke-width: 3px;
}
.dot {
/*fill: white;*/
/*stroke: steelblue;*/
stroke-width: 1.5px;
}
.axis text {
font-family: Verdana;
font-size: 11px;
}
.title {
font-family: Verdana;
font-size: 15px;
}
.xAxis {
font-family: verdana;
font-size: 11px;
fill: black;
}
.yAxis {
font-family: verdana;
font-size: 11px;
fill: white;
}
table {
border-collapse: collapse;
border: 0px;
font-family: Verdana;
color: #5C5558;
font-size: 12px;
text-align: right;
}
td {
padding-left: 10px;
}
#histogramTitle1 {
font-family: Verdana;
font-size: 14px;
fill: lightgrey;
text-anchor: middle;
}
#histogramTitle2 {
font-family: Verdana;
font-size: 72px;
fill: grey;
text-anchor: middle;
}
</style>
</head>
<body>
<div class="w3-sidebar w3-bar-block w3-green w3-card" style="width:20%">
<p><b>Information on Visualizations</b></p>
<p><b>Dataset:</b> a1-grocerystoresurvey.csv</p>
<p><b>Coordination of Multiple Visualizations</b></p>
<p>The four visualizations in this dashboard are coordinated using a selection button labelled "Gender of
Customers"
</p>
<p>Exploration of the coordination is done by changing the value of the selection button, which filters the data
based on the selection, and updates the visualizations</p>
<p></p>
<p><b>Interactivity of Individual Visualizations</b></p>
<p><b>Histogram:</b> Changing number of bins</p>
<p><b>Heatmap:</b> Labelling (Tooltips)</p>
<p><b>Density Plot:</b> Selection buttons</p>
<p><b>Scatter Plot:</b> Zooming with X-axis</p>
</div>
<div style="margin-left:30%">
<div class="w3-container">
<h3>Visualization Programming: Coordination of Multiple Visualizations using D3.js</h3>
<div id="mainWrapper">
<div id="selectionPane">
<label for="gender"><strong>Gender of Customers:</strong></label>
<select id="selectGender">
<option value="allGender" selected>Customers of All Gender</option>
</select>
</div>
<div id="histogram"></div>
<div id="histogram_bins">
<p>
<label>Change Number of Bins</label>
<input type="number" min="0" max="40" step="2" value="10" id="nBin">
</p>
</div>
<div id="scatter_plot"></div>
<div id="scatter_plot_limits">
<!-- Add a radio button -->
<label>Change X-axis Limits</label>
<input type="number" min="1000" max="100000" step="10000" value="50000" id="buttonXlim">
</div>
<div id="heatmap"></div>
<div id="density_plot"></div>
<div id="density_plot_buttons">
<!-- Initialize a select button -->
<label>Select Chain</label>
<select id="selectButton"></select>
</div>
<script type="text/javascript">
////////// Functions for Drawing Charts ////////
function createHistogram(data, new_data) {
data = data;
new_data = new_data;
if (new_data) {
var svg = d3.select("#histogram");
svg.selectAll('*').remove();
data = new_data;
}
// set the dimensions and margins of the graph
var margin = { top: 10, right: 30, bottom: 30, left: 40 },
width = 420 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom;
// append the svg object to the body of the page
var svg = d3.select("#histogram")
.append("svg")
.data([data])
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform",
"translate(" + margin.left + "," + margin.top + ")");
// Defining graph title and axis labels
const xAxisLabel = "Family Size";
const yAxisLabel = "Frequency";
const title = `Histogram of ${xAxisLabel} of Various Customers`;
// X axis: scale and draw:
var x = d3.scaleLinear()
.domain([0, 10])
.range([0, width]);
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
// Y axis: initialization
var y = d3.scaleLinear()
.range([height, 0]);
var yAxis = svg.append("g")
//Create Title
svg.append("text")
.attr("x", width / 2)
.attr("y", 0)
.style("text-anchor", "middle")
.style("font-size", "16px")
.text(title);
//Create X axis label
svg.append("text")
.attr("x", width / 2)
.attr("y", height + margin.bottom)
.style("text-anchor", "middle")
.text(xAxisLabel);
//Create Y axis label
svg.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 0 - margin.left)
.attr("x", 0 - (height / 2))
.attr("dy", "1em")
.style("text-anchor", "middle")
.text(yAxisLabel);
// A function that builds the graph for a specific value of bin
function update(nBin) {
// set the parameters for the histogram
var histogram = d3.histogram()
.value(function (d) { return d.FamilySize; }) // Give the vector of value
.domain(x.domain()) // then the domain of the graphic
.thresholds(x.ticks(nBin)); // then the numbers of bins
// And apply this function to data to get the bins
var bins = histogram(data);
// Y axis: update now that we know the domain
y.domain([0, d3.max(bins, function (d) { return d.length; })]); // d3.hist has to be called before the Y axis obviously
yAxis
.transition()
.duration(1000)
.call(d3.axisLeft(y));
// Join the rect with the bins data
var u = svg.selectAll("rect")
.data(bins)
// Manage the existing bars and eventually the new ones:
u
.enter()
.append("rect") // Add a new rect for each new elements
.merge(u) // get the already existing elements as well
.transition() // and apply changes to all of them
.duration(1000)
.attr("x", 1)
.attr("transform", function (d) { return "translate(" + x(d.x0) + "," + y(d.length) + ")"; })
.attr("width", function (d) { return x(d.x1) - x(d.x0) - 1; })
.attr("height", function (d) { return height - y(d.length); })
.style("fill", "#69b3a2")
// If less bar in the new histogram, I delete the ones not in use anymore
u
.exit()
.remove()
}
// Initialize with 20 bins
update(20)
// Listen to the button -> update if user change it
d3.select("#nBin").on("input", function () {
update(+this.value);
});
}
function createScatterPlot(data, new_data) {
data = data;
new_data = new_data;
if (new_data) {
var svg = d3.select("#scatter_plot");
svg.selectAll('*').remove();
data = new_data;
}
// set the dimensions and margins of the graph
var margin = { top: 10, right: 30, bottom: 30, left: 60 },
width = 460 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom;
// append the svg object to the body of the page
var svg = d3.select("#scatter_plot")
.append("svg")
.data([data])
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform",
"translate(" + margin.left + "," + margin.top + ")");
// Defining graph title and axis labels
const xAxisLabel = "Income";
const yAxisLabel = "PurchaseAmount";
const title = `Scatter Plot of ${yAxisLabel} vs ${xAxisLabel}`;
// Add X axis
var x = d3.scaleLinear()
.domain([0, 100000])
.range([0, width]);
var xAxis = svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
// Add Y axis
var y = d3.scaleLinear()
.domain([0, 700])
.range([height, 0]);
svg.append("g")
.call(d3.axisLeft(y));
//Create Title
svg.append("text")
.attr("x", width / 2)
.attr("y", 0)
.style("text-anchor", "middle")
.style("font-size", "16px")
.text(title);
//Create X axis label
svg.append("text")
.attr("x", width / 2)
.attr("y", height + margin.bottom)
.style("text-anchor", "middle")
.text(xAxisLabel);
//Create Y axis label
svg.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 0 - margin.left)
.attr("x", 0 - (height / 2))
.attr("dy", "1em")
.style("text-anchor", "middle")
.text(yAxisLabel);
// Add dots
svg.append('g')
.selectAll("dot")
.data(data)
.enter()
.append("circle")
.attr("cx", function (d) { return x(d.Income); })
.attr("cy", function (d) { return y(d.PurchaseAmount); })
.attr("r", 5)
.style("fill", "#69b3a2")
// A function that update the plot for a given xlim value
function updatePlot() {
// Get the value of the button
xlim = this.value
// Update X axis
x.domain([3, xlim])
xAxis.transition().duration(1000).call(d3.axisBottom(x))
// Update chart
svg.selectAll("circle")
.data(data)
.transition()
.duration(1000)
.attr("cx", function (d) { return x(d.Income); })
.attr("cy", function (d) { return y(d.PurchaseAmount); })
}
// Add an event listener to the button created in the html part
d3.select("#buttonXlim").on("input", updatePlot)
}
function createHeatmap(data, new_data) {
data = data;
new_data = new_data;
if (new_data) {
var svg = d3.select("#heatmap");
svg.selectAll('*').remove();
data = new_data;
}
// set the dimensions and margins of the graph
var margin = { top: 80, right: 25, bottom: 30, left: 40 },
width = 550 - margin.left - margin.right,
height = 420 - margin.top - margin.bottom;
// append the svg object to the body of the page
var svg = d3.select("#heatmap")
.append("svg")
.data([data])
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform",
"translate(" + margin.left + "," + margin.top + ")");
// Labels of row and columns -- FamilySize and Occupation of movie
var myOccupations = d3.map(data, function (d) { return d.Occupation; }).keys()
var myFamilySizes = d3.map(data, function (d) { return d.FamilySize; }).keys()
// Build X scales and axis:
var x = d3.scaleBand()
.range([0, width])
.domain(myOccupations)
.padding(0.05);
svg.append("g")
.style("font-size", 15)
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x).tickSize(0))
.select(".domain").remove()
// Build Y scales and axis:
var y = d3.scaleBand()
.range([height, 0])
.domain(myFamilySizes)
.padding(0.05);
svg.append("g")
.style("font-size", 15)
.call(d3.axisLeft(y).tickSize(0))
.select(".domain").remove()
// Build color scale
var myColor = d3.scaleSequential()
.interpolator(d3.interpolateWarm)
.domain([0, 20])
// create a tooltip
var tooltip = d3.select("#heatmap")
.append("div")
.style("opacity", 0)
.attr("class", "tooltip")
.style("background-color", "grey")
.style("border", "solid")
.style("border-width", "2px")
.style("border-radius", "20px")
.style("padding", "5px")
// Three function that change the tooltip when user hover / move / leave a cell
var mouseover = function (d) {
tooltip
.style("opacity", 1)
d3.select(this)
.style("stroke", "black")
.style("opacity", 1)
}
var mousemove = function (d) {
tooltip
.html("PurchaseAmount: " + d.PurchaseAmount)
.style("left", (d3.mouse(this)[0] + 100) + "px")
.style("top", (d3.mouse(this)[1]) + "px")
}
var mouseleave = function (d) {
tooltip
.style("opacity", 0)
d3.select(this)
.style("stroke", "none")
.style("opacity", 0.8)
}
// add the squares
svg.selectAll()
.data(data, function (d) { return d.Occupation + ':' + d.FamilySize; })
.enter()
.append("rect")
.attr("x", function (d) { return x(d.Occupation) })
.attr("y", function (d) { return y(d.FamilySize) })
.attr("rx", 4)
.attr("ry", 4)
.attr("width", x.bandwidth())
.attr("height", y.bandwidth())
.style("fill", function (d) { return myColor(d.PurchaseAmount) })
.style("stroke-width", 4)
.style("stroke", "none")
.style("opacity", 0.8)
.on("mouseover", mouseover)
.on("mousemove", mousemove)
.on("mouseleave", mouseleave)
// Add title to graph
svg.append("text")
.attr("x", 0)
.attr("y", -50)
.attr("text-anchor", "left")
.style("font-size", "14px")
.text("Heatmap of Customers by FamilySize, Occupation and PurchaseAmount");
// Add subtitle to graph
svg.append("text")
.attr("x", 0)
.attr("y", -20)
.attr("text-anchor", "left")
.style("font-size", "14px")
.style("fill", "grey")
.style("max-width", 400)
.text("Please hover the cursor over a Cell to get the PurchaseAmount");
// Defining the graph's axis labels
const xAxisLabel = "Occupation of Customer";
const yAxisLabel = "FamilySize of Customer";
//Create X axis label
svg.append("text")
.attr("x", width / 2)
.attr("y", height + margin.bottom)
.style("text-anchor", "middle")
.text(xAxisLabel);
//Create Y axis label
svg.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 0 - margin.left)
.attr("x", 0 - (height / 2))
.attr("dy", "1em")
.style("text-anchor", "middle")
.text(yAxisLabel);
}
function createDensityPlot(data, new_data) {
data = data;
new_data = new_data;
if (new_data) {
var svg = d3.select("#density_plot");
svg.selectAll('*').remove();
data = new_data;
}
// set the dimensions and margins of the graph
var margin = { top: 30, right: 30, bottom: 30, left: 50 },
width = 460 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom;
// append the svg object to the body of the page
var svg = d3.select("#density_plot")
.append("svg")
.data([data])
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform",
"translate(" + margin.left + "," + margin.top + ")");
// Defining graph title and axis labels
const xAxisLabel = "PurchaseAmount";
const yAxisLabel = "Density";
const title = `Density Plot of ${xAxisLabel}`;
//Create Title
svg.append("text")
.attr("x", width / 2)
.attr("y", 0)
.style("text-anchor", "middle")
//.attr("text-anchor", "left")
.style("font-size", "16px")
.text(title);
//Create X axis label
svg.append("text")
.attr("x", width / 2)
.attr("y", height + margin.bottom)
.style("text-anchor", "middle")
.text(xAxisLabel);
//Create Y axis label
svg.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 0 - margin.left)
.attr("x", 0 - (height / 2))
.attr("dy", "1em")
.style("text-anchor", "middle")
.text(yAxisLabel);
// List of groups
var allGroup = d3.map(data, function (d) { return (d.Chain) }).keys()
// add the options to the button
d3.select("#selectButton")
.selectAll('myOptions')
.data(allGroup)
.enter()
.append('option')
.text(function (d) { return d; }) // text showed in the menu
.attr("value", function (d) { return d; }) // corresponding value returned by the button
// add the x Axis
var x = d3.scaleLinear()
.domain([0, 600])
.range([0, width]);
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
// add the y Axis
var y = d3.scaleLinear()
.range([height, 0])
.domain([0, 0.2]);
svg.append("g")
.call(d3.axisLeft(y));
// Compute kernel density estimation for the first
var kde = kernelDensityEstimator(kernelEpanechnikov(3), x.ticks(140))
var density = kde(data
.filter(function (d) { return d.Chain == "Other" })
.map(function (d) { return +d.PurchaseAmount; })
)
// Plot the area
var curve = svg
.append('g')
.append("path")
.attr("class", "mypath")
.datum(density)
.attr("fill", "#69b3a2")
.attr("opacity", ".8")
.attr("stroke", "#000")
.attr("stroke-width", 1)
.attr("stroke-linejoin", "round")
.attr("d", d3.line()
.curve(d3.curveBasis)
.x(function (d) { return x(d[0]); })
.y(function (d) { return y(d[1]); })
);
// A function that update the chart when slider is moved?
function updateChart(selectedGroup) {
// recompute density estimation
kde = kernelDensityEstimator(kernelEpanechnikov(3), x.ticks(40))
var density = kde(data
.filter(function (d) { return d.Chain == selectedGroup })
.map(function (d) { return +d.PurchaseAmount; })
)
// update the chart
curve
.datum(density)
.transition()
.duration(1000)
.attr("d", d3.line()
.curve(d3.curveBasis)
.x(function (d) { return x(d[0]); })
.y(function (d) { return y(d[1]); })
);
}
// Listen to the slider?
d3.select("#selectButton").on("change", function (d) {
selectedGroup = this.value
updateChart(selectedGroup)
})
// Function to compute density
function kernelDensityEstimator(kernel, X) {
return function (V) {
return X.map(function (x) {
return [x, d3.mean(V, function (v) { return kernel(x - v); })];
});
};
}
function kernelEpanechnikov(k) {
return function (v) {
return Math.abs(v /= k) <= 1 ? 0.75 * (1 - v * v) / k : 0;
};
}
}
//reading data: a1-grocerystoresurvey.csv
d3.csv("https://raw.githubusercontent.com/vjajala/dataViz/main/a1-grocerystoresurvey.csv", function (data) {
// List of groups
var allGroup = d3.map(data, function (d) { return (d.Gender) }).keys()
// add the options to the button
d3.select("#selectGender")
.selectAll('myOptions')
.data(allGroup)
.enter()
.append('option')
.text(function (d) { return "Selected Gender: " + d + "s"; }) // text showed in the menu
.attr("value", function (d) { return d; }) // corresponding value
// Calling functions to draw charts
createHistogram(data);
createScatterPlot(data);
createHeatmap(data);
createDensityPlot(data);
// Listen to the slider
d3.select("#selectGender").on("change", function (d) {
selectedGender = this.value;
filter(selectedGender);
});
function filter(selectedGender) {
//data = data;
if (selectedGender == "allGender") {
new_data = data;
}
else new_data = data.filter(function (d) { return d.Gender == selectedGender; })
//console.log(data);
console.log(new_data);
createHistogram(data, new_data);
createScatterPlot(data, new_data);
createHeatmap(data, new_data);
createDensityPlot(data, new_data);
}
});
</script>
</div>
</div>
</div>
</body>
</html>