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<!-- inspired by solution to Studio 5 posted Prof. Ottley. DOA: 3/27/18 -->
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Storytelling Visualization</title>
<script src="https://d3js.org/d3.v4.js"></script>
<script src="https://d3js.org/d3-color.v1.min.js"></script>
<script src="https://d3js.org/d3-interpolate.v1.min.js"></script>
<script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script>
<style>
#canvas svg {
display: block;
margin: 0 auto;
}
h1, h2 {
text-align: center;
}
.tooltip {
font: 0.8em sans-serif;
color: gray;
border-radius: 7px;
pointer-events: none;
width: 200px;
height: 120px;
padding: 2px;
position: absolute;
}
</style>
</head>
<body>
<h1>Storytelling Visualization</h1>
<section>
<h2>Where can I find the best bar of chocolate?</h2>
</section>
<section>
<section id="canvas">
</section>
</section>
<script type="text/javascript">
// var dataFolder = "data/";
var dataFolder = "";
var cacaoFileName = "flavors_of_cacao.csv";
// Columns:
// Company:
// Name of the company manufacturing the bar.
// Specific_Bean_Origin_Or_Bar_Name:
// The specific geo-region of origin for the bar.
// REF:
// A value linked to when the review was entered in the database. Higher = more recent.
// Review_Date:
// Date of publication of the review.
// Cocoa_Percent:
// Cocoa percentage (darkness) of the chocolate bar being reviewed.
// Company_Location:
// Manufacturer base country.
// Rating:
// Expert rating for the bar.
// Bean_Type:
// The variety (breed) of bean used, if provided.
// Broad_Bean_Origin:
// The broad geo-region of origin for the bean.
// define svg variables
var margin = {
top: 20,
right: 20,
bottom: 20,
left: 20
};
var padding = {
top: 20,
right: 20,
bottom: 20,
left: 20
};
var width = 1200;
var height = 600;
// define scales
var barXScale = d3.scaleLinear()
.range([padding.left + margin.left, width - padding.right - margin.right]);
var barYScale = d3.scaleLinear()
.range([height - (padding.bottom + margin.bottom), margin.top + padding.top])
.domain([0, 5]);
var tooltip = d3.select("body")
.append("div")
.style("background", "#E0E0E0")
.style("opacity", 0)
.attr("class", "tooltip");
// define canvas SVG
var canvas = d3.select("body #canvas")
.append("svg")
.attr("width", width)
.attr("height", height);
var secondarySortProp = "meanRating"; // for now choose from {cocoaPercent, meanRating}
var colorGrouping = "companyLoc"; // for now
createBarChart();
// helper functions
function createBarChart() {
canvas.html("");
d3.csv(dataFolder + cacaoFileName, function(dataset) {
// first augment dataset by chunking into {company: mean rating} objects
var uniqueCompanies = createUniqueCompanies(dataset);
// add company to object and convert to array
var companyData = createCompanyDataArr(uniqueCompanies);
// sort by company, then something else (in this case mean rating)
companyData = sortCompanyData(companyData, secondarySortProp);
// coloring scheme
// color by company location
// count unique company locations
var uniqueGroupDict = {};
var i = 0;
companyData.forEach((element) => {
var group = element[colorGrouping];
if (uniqueGroupDict.hasOwnProperty(group)) {
uniqueGroupDict[group] = {
sum: uniqueGroupDict[group].sum + 1,
endIdx: i
};
} else {
uniqueGroupDict[group] = {
sum: 1,
endIdx: i
};
}
// uniqueGroupDict.startIdx = uniqueGroupDict.hasOwnProperty(group) ? uniqueGroupDict[group] + 1 : 1;
i++;
});
var uniqueGroups = Object.keys(uniqueGroupDict)
var numUniqueGroups = uniqueGroups.length;
var colorScales = generateColorScales(numUniqueGroups);
// create map from company location name to [0...numUniqueCompanyLocs]
var groupDict = {};
var availableIndices = d3.range(colorScales.length);
for (var i = 0; i < numUniqueGroups; i++) {
var r = Math.floor(Math.random() * availableIndices.length);
var idx = availableIndices[r];
groupDict[uniqueGroups[i]] = {
index: i,
scaleIdx: idx
};
}
// addBars
addBars(companyData, groupDict, colorScales, colorGrouping);
// TODO extract function:
// add country labels
var countryXScale = d3.scaleLinear()
.domain([0, numUniqueGroups])
.range([padding.left + margin.left, width - padding.right - margin.right]);
var startIdx = 0;
Object.entries(uniqueGroupDict).forEach(([location, val]) => {
var numOccurences = val.sum;
var endIdx = val.endIdx;
var middleIdx = (startIdx + endIdx) / 2;
var minCountryRating = 5;
for (var i = startIdx; i < endIdx; i++) {
minCountryRating = Math.min(minCountryRating, companyData[i].meanRating);
}
if (numOccurences > 40) {
// add horizontal label
// need to map country index to 0...n
canvas.append("text")
.attr("x", barXScale(middleIdx))
.attr("y", height - barYScale(5 - minCountryRating/2))
.style("stroke", "black")
.attr("shape-rendering", "crispEdges")
.attr("font-family", "sans-serif")
.attr("font-size", "3em")
.style("opacity", "0.9")
.attr("alignment-baseline", "middle")
.attr("text-anchor", "middle")
.text(location);
} else if (numOccurences > 5) {
// add vertical label
canvas.append("text")
.attr("transform", "rotate(-90)")
.attr("x", -(height - barYScale(5 - minCountryRating/2)))
.attr("y", barXScale(middleIdx))
.style("stroke", "black")
.style("opacity", "0.9")
.attr("shape-rendering", "crispEdges")
.attr("font-family", "sans-serif")
.attr("font-size", "0.75em")
.attr("alignment-baseline", "middle")
.attr("text-anchor", "middle")
.text(location);
}
startIdx = endIdx + 1;
});
// highlight Mast Brothers
var barPad = 1;
var n = companyData.length;
var barWidth = width / n - barPad;
highlightMastChoc(width / n - barPad);
//
// Create Axes
var xAxis = d3.axisBottom(barXScale)
.ticks(0);
var yAxis = d3.axisLeft(barYScale)
.ticks(5);
var xPadding = 0;
canvas.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + (height - xPadding) + ")")
.call(xAxis);
canvas.append("text")
.attr("class", "axis-text")
.attr("x", width/2)
.attr("y", height - 10)
.attr("text-anchor", "middle")
.text("Artisanal Chocolate Companies");
var yPadding = padding.left + margin.left - 2;
canvas.append("g")
.attr("class", "axis")
.attr("transform", "translate(" + yPadding + ", 0)")
.call(yAxis);
canvas.append("text")
.attr("class", "axis-text")
.attr("transform", "rotate(-90)")
.attr("y", margin.left)
.attr("x", -height / 2)
.attr("text-anchor", "middle")
.text("Mean Rating");
// define event listeners for checkboxes
// d3.select("#mean-rating-cb").on("change", function() {
// if (this.checked){
// // sort by mean rating
// // companyData.sort(function(c1, c2){ return c1.meanRating - c2.meanRating });
// } else {
// secondarySortProp = "meanRating";
// createBarChart();
// }
// });
// d3.select("#company-location-cb").on("change", function() {
// });
// d3.select("#percent-cocoa-cb").on("change", function() {
// });
});
}
function createUniqueCompanies(dataset) {
var uniqueCompanies = {};
dataset.forEach(function(element) {
var company = element.Company;
var rating = parseFloat(element.Rating);
var companyLocation = element.Company_Location;
var pctCocoa = element.Cocoa_Percent;
var broadBeanOrigin = element.Broad_Bean_Origin;
var beanType = element.Bean_Type
var barName = element.Specific_Bean_Origin_Or_Bar_Name;
var reviewDate = element.Review_Date;
var beanType = element.Bean_Type;
// Company Specific_Bean_Origin_Or_Bar_Name REF Review_Date Cocoa_Percent Company_Location Rating Bean_Type Broad_Bean_Origin
if (uniqueCompanies.hasOwnProperty(company)) {
var prevNumBars = uniqueCompanies[company].numBars;
var prevTotalRating = uniqueCompanies[company].totalRating;
var newNumBars = prevNumBars + 1;
var newTotalRating = prevTotalRating + rating;
uniqueCompanies[company].numBars = newNumBars;
uniqueCompanies[company].totalRating = newTotalRating;
uniqueCompanies[company].meanRating = newTotalRating / newNumBars;
} else {
uniqueCompanies[company] = {
numBars: 1,
totalRating: rating,
meanRating: rating,
companyLoc: companyLocation,
};
}
});
return uniqueCompanies;
}
function createCompanyDataArr(uniqueCompanies) {
var companyData = [];
Object.entries(uniqueCompanies).forEach(([key, value]) => {
value.company = key;
companyData.push(value);
});
return companyData;
}
function sortCompanyData(companyData, secondarySortProp) {
return companyData.sort(function(c1, c2) {
var locA = c1.companyLoc;
var locB = c2.companyLoc;
if (locA.localeCompare(locB) == 1) {
return 1;
} else if (locA.localeCompare(locB) == -1) {
return -1;
} else {
var propA = c1[secondarySortProp];
var propB = c2[secondarySortProp];
if (propA > propB) {
return -1;
} else if (propA < propB) {
return 1;
} else {
return 0;
}
}
});
}
// inspired by: https://stackoverflow.com/questions/20847161/how-can-i-generate-as-many-colors-as-i-want-using-d3
function generateColorScales(numUniqueGroups) {
var colorDomain = [0, numUniqueGroups - 1];
var colorInterpoolator = d3.interpolateHcl;
var colorScales = [
d3.scaleLinear()
.domain(colorDomain)
.interpolate(colorInterpoolator)
.range(["#a6cee3", "#fdbf6f"]),
d3.scaleLinear()
.domain(colorDomain)
.interpolate(colorInterpoolator)
.range(["#1f78b4","#ff7f00"]),
d3.scaleLinear()
.domain(colorDomain)
.interpolate(colorInterpoolator)
.range(["#b2df8a","#cab2d6"]),
d3.scaleLinear()
.domain(colorDomain)
.interpolate(colorInterpoolator)
.range(["#33a02c","#6a3d9a"]),
d3.scaleLinear()
.domain(colorDomain)
.interpolate(colorInterpoolator)
.range(["#fb9a99","#ffff99"]),
d3.scaleLinear()
.domain(colorDomain)
.interpolate(colorInterpoolator)
.range(["#e31a1c","#b15928"])
];
return colorScales
}
function addBars(companyData, groupDict, colorScales, colorGrouping) {
var n = companyData.length;
// set domain of axes
barXScale.domain([0, n]);
var barPad = 1;
canvas.selectAll("rect")
.data(companyData)
.enter()
.append("rect")
.attr("class", "bar")
.attr("id", function (d, i) {
return "bar-id-" + d.company.split(" ").join("-");
})
.attr("x", function(d, i) {
return barXScale(i);
})
.attr("y", function(d) {
return height - barYScale(5 - d.meanRating);
})
.attr("width", width / n - barPad)
.attr("height", function(d) {
return barYScale(5 - d.meanRating) - margin.bottom - padding.bottom;
})
.attr("fill", function(d, i) {
var companyDict = groupDict[d[colorGrouping]];
var colorVal = companyDict.index;
var colorScale = colorScales[companyDict.scaleIdx];
return colorScale(colorVal);
})
// <!-- inspired by solution to Studio 6 posted Hao Sun. DOA: 3/27/18
.on("mouseover", function(d, i) {
d3.select(this)
.attr("fill", "black");
var ul = tooltip
.style("left", (barXScale(i)) + "px")
.style("top", (height - barYScale(5 - d.meanRating)) + "px")
.style("opacity", .8);
tooltip.append("h3")
.text(d.company);
tooltip.append("p")
.text("Company Location: " + d.companyLoc);
tooltip.append("p")
.text("Average Bar Rating: " + d.meanRating.toFixed(2));
})
.on("mouseout", function (d, i) {
d3.select(this)
.attr("fill", function(d) {
if (d.company == "Mast Brothers") {
return "yellow";
}
var companyDict = groupDict[d[colorGrouping]];
var colorVal = companyDict.index;
var colorScale = colorScales[companyDict.scaleIdx];
return colorScale(colorVal);
});
tooltip.style("opacity", 0).html("");
});
}
function highlightMastChoc(barWidth) {
var t = d3.transition()
.delay(1250)
.duration(3000)
.ease(d3.easeLinear);
var t2 = d3.transition()
.delay(5000)
.duration(7000)
.ease(d3.easeLinear);
var t3 = d3.transition()
.duration(5000)
.ease(d3.easeLinear);
var t4 = d3.transition()
.delay(0)
.duration(3000)
.ease(d3.easeLinear);
var bar = d3.select("#bar-id-" + "Mast-Brothers");
bar.transition(t)
.attr("fill", "yellow");
var label = canvas.append("text")
.attr("opacity", 0)
.attr("x", bar.attr("x") - 20)
.attr("y", bar.attr("y") - 10)
.style("font-weight", "bold")
.text("This is Mast Brothers!");
label.transition(t)
.attr("opacity", 1)
.delay(3000)
.transition(t2)
.attr("opacity", 0)
.remove();
var rect = canvas.append("rect")
.attr("opacity", 0)
.attr("x", margin.left + padding.left - 2)
.attr("y", bar.attr("y") )
.attr("height", barWidth)
.attr("width", bar.attr("x") - margin.left - padding.left);
rect.transition(t3)
.attr("opacity", 1)
.delay(6000)
.transition(t3)
.attr("opacity", 0)
.remove();
var newLabel = canvas.append("text")
.attr("opacity", 0)
.attr("x", bar.attr("x") - 20)
.attr("y", bar.attr("y") - 10)
.style("font-weight", "bold")
.text("It has an average rating of 3.13");
newLabel.transition(t)
.attr("opacity", 1)
.delay(9000)
.transition(t2)
.attr("opacity", 0)
.remove();
}
</script>
</body>
</html>