Waterfall Chart
http://bl.ocks.org/chucklam/f3c7b3e3709a0afd5d57
by Christian Sonne
HTML
<script src="//d3js.org/d3.v3.min.js"></script>
<svg class="chart"></svg>
CSS
.bar.total rect {
fill: steelblue;
}
.bar:hover rect {
fill: orange;
}
.bar.positive rect {
fill: darkolivegreen;
}
.bar:hover rect {
fill: orange;
}
.bar.negative rect {
fill: crimson;
}
.bar:hover rect {
fill: orange;
}
.bar line.connector {
stroke: grey;
stroke-dasharray: 3;
}
.bar text {
fill: white;
font: 12px sans-serif;
text-anchor: middle;
}
.axis text {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.bar text {
text-shadow: 0 0 5px black;
}
.lastyear {
stroke: black;
}
.promise {
stroke: red;
stroke-dasharray: 3;
}
.label {
font-size: 12px;
}
JavaScript
var margin = {
top: 20,
right: 30,
bottom: 30,
left: 80
},
width = 1424 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom,
padding = 0.3;
var comparison = 106421523.31;
var formatAxis = d3.format("%");
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], padding);
var y = d3.scale.linear()
.range([height - padding, padding]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickFormat(function(d) {
return d;
});
var chart = d3.select(".chart")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
data = [{
"name": "Cases In Statement",
"value": 12122437.63
}, {
"name": "Cases Currency Adjusted",
"value": -2357.37
}, {
"name": "Cases Inflation Adjusted",
"value": 0
}, {
"name": "Random Fluctuations",
"value": 3582528.12
}, {
"name": "Change In Volume",
"value": 62426372.54
}, {
"name": "Change In Country_grp",
"value": -2773072.02
}, {
"name": "Change In Icd10_grp",
"value": -13539092.26
}, {
"name": "Change In Age_grp",
"value": -2967343.00
}, {
"name": "Change In Gender_grp",
"value": 4952912.57
}
];
//function to find all the positive values
var positive_val = data.filter(function(d) {
return d.value > 0;
});
//function to calculate the sum of all the positive values
var maxSum = positive_val.reduce(function(sum, d) {
return sum + d.value;
}, 0);
// Transform data (i.e., finding cumulative values and total) for easier charting
var cumulative = 0;
for (var i = 0; i < data.length; i++) {
data[i].class = (data[i].value >= 0) ? 'positive' : 'negative';
data[i].value -= comparison;
data[i].start = cumulative;
cumulative += data[i].value;
data[i].end = cumulative;
}
data.push({
...