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<html>
<meta charset="utf-8">
<script src="https://d3js.org/d3.v5.min.js"></script>
<script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script> <!-- for color scales -->
<!-- Example based on https://bl.ocks.org/mbostock/3887118 -->
<!-- Tooltip example from https://www.d3noob.org/2013/01/adding-tooltips-to-d3js-graph.html -->
<style>
body { font-family: calibri; }
.axis { font: 14px calibri; }
.label {font: 16px calibri; }
.tooltip {
position: absolute;
width: 150px;
height: 60px;
background: #f2f2f2;
pointer-events: none;
}
</style>
<body>
<h2>Scatterplot</h2>
<div><svg id="chart1" width="700" height="400"></svg></div>
<script>
// add the graph canvas to the body of the webpage
diseases=["Cancer", "Influenza and pneumonia",
"Diabetes", "Alzheimer's disease",
"Suicide", "Stroke", "CLRD",
"Heart disease"]
var svg = d3.select("#chart1"),
margin = {top: 20, right: 55, bottom: 50, left: 70},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom;
var g = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var colorScale = d3.scaleOrdinal(d3["schemeAccent"])
// add the tooltip area to the webpage
var tooltip = d3.select("body").append("div")
.attr("class", "tooltip")
.style("opacity", 0);
// load data
d3.csv("FloridaTop5.csv").then(function(data) {
/*
* value accessor - returns the value to encode for a given data object.
* scale - maps value to a visual display encoding, such as a pixel position.
* map function - maps from data value to display value
*/
// setup x - use +d to change string (from CSV) into number format
var xValue = function(d) { return +d["Year"];}, // data -> value
xScale = d3.scaleLinear().range([0, width]), // value -> display
xMap = function(d) { return xScale(xValue(d));}; // data -> display
// setup y - use +d to change string into number format
var yValue = function(d) { return +d["deathRank"];}, // data -> value
yScale = d3.scaleLinear().range([height, 0]), // value -> display
yMap = function(d) { return yScale(yValue(d));}; // data -> display
// don't want dots overlapping axis, so add in buffer to data domain
xScale.domain([d3.min(data, xValue)-1, d3.max(data, xValue)+1]);
yScale.domain([d3.max(data, yValue)+1, 0]);
// x-axis
g.append("g")
.attr("class", "axis x-axis")
.attr("transform", "translate(0," + height + ")") // move axis to bottom of chart
.call(d3.axisBottom(xScale)
.ticks(5)
.tickFormat(d3.format("d")));
// x-axis label
g.append("text")
.attr("class", "label")
.attr("x", width/2)
.attr("y", height+(margin.bottom*0.75))
.style("text-anchor", "middle")
.text("Years")
// y-axis
g.append("g")
.attr("class", "axis y-axis")
.call(d3.axisLeft(yScale)
.ticks(6));
// y-axis label
g.append("text")
.attr("class", "label")
.attr("x", 0-(height/2))
.attr("y", 0-(margin.left*0.55))
.attr("transform", "rotate(-90)") // rotate text -90 degrees from x, y
.style("text-anchor", "middle")
.text("deathPercentage");
// draw dots
g.selectAll(".dot")
.data(data)
.enter().append("circle")
.attr("class", "dot")
.attr("r", 7.5)
.attr("cx", xMap)
.attr("cy", yMap)
.style("fill", function(d, i) {cosnole.log(d.cause);console.log(colorScale(diseases.indexOf(d.cause))); return colorScale(diseases.indexOf(d.cause)); })
// tooltip
.on("mouseover", function(d) {
tooltip.transition()
.duration(200) // ms delay before appearing
.style("opacity", .8); // tooltip appears on mouseover
tooltip.html(d.Cause + "<br/> " + d.Deaths + "<br/>" + d.deathPercentage)
.style("left", (d3.event.pageX + 10) + "px") // specify x location
.style("top", (d3.event.pageY - 28) + "px"); // specify y location
})
.on("mouseout", function(d) {
tooltip.transition()
.duration(500)
.style("opacity", 0); // disappear on mouseout
});
});
</script>
</body>
</html>
https://d3js.org/d3.v5.min.js
https://d3js.org/d3-scale-chromatic.v1.min.js