Alternate version of Lyme Disease Chloropleth. All four datasets shown at once. Hover over a county on a map to see cooresponding readings for that county on the other maps. I left a question in the comments on this block starting at line 118.
<!DOCTYPE html>
<meta charset="utf-8">
<style>
.county {
stroke: #e8e8e8;
stroke-width: 1px;
stroke-linejoin: round;
stroke-opacity: 0.1;
}
.container {
margin-top: 20px;
margin-left: 20px;
display: flex;
flex-direction: row;
flex-wrap: wrap;
max-width: 950px;
}
.calendar{
width: 450px;
}
.calendarTitle {
font-size: 14px;
font-family: "Futura", "Helvetica Neue", Helvetica, Arial, sans-serif;
}
</style>
<body>
<div class="container"></div>
<script src="//d3js.org/d3.v3.js"></script>
<script>
var width = 400,
height = 250;
var stateFIPS = { "01": { "abbrev": "AL", "name": "Alabama" }, "02": { "abbrev": "AK", "name": "Alaska" }, "05": { "abbrev": "AR", "name": "Arkansas" }, "60": { "abbrev": "AS", "name": "American Samoa" }, "04": { "abbrev": "AZ", "name": "Arizona" }, "06": { "abbrev": "CA", "name": "California" }, "08": { "abbrev": "CO", "name": "Colorado" }, "09": { "abbrev": "CT", "name": "Connecticut" }, "11": { "abbrev": "DC", "name": "District of Columbia" }, "10": { "abbrev": "DE", "name": "Delaware" }, "12": { "abbrev": "FL", "name": "Florida" }, "13": { "abbrev": "GA", "name": "Georgia" }, "66": { "abbrev": "GU", "name": "Guam" }, "15": { "abbrev": "HI", "name": "Hawaii" }, "19": { "abbrev": "IA", "name": "Iowa" }, "16": { "abbrev": "ID", "name": "Idaho" }, "17": { "abbrev": "IL", "name": "Illinois" }, "18": { "abbrev": "IN", "name": "Indiana" }, "20": { "abbrev": "KS", "name": "Kansas" }, "21": { "abbrev": "KY", "name": "Kentucky" }, "22": { "abbrev": "LA", "name": "Louisana" }, "25": { "abbrev": "MA", "name": "Massachusetts" }, "24": { "abbrev": "MD", "name": "Maryland" }, "23": { "abbrev": "ME", "name": "Maine" }, "26": { "abbrev": "MI", "name": "Michigan" }, "27": { "abbrev": "MN", "name": "Minnesota" }, "29": { "abbrev": "MO", "name": "Missouri" }, "28": { "abbrev": "MS", "name": "Mississippi" }, "30": { "abbrev": "MT", "name": "Montana" }, "37": { "abbrev": "NC", "name": "North Carolina" }, "38": { "abbrev": "ND", "name": "North Dakota" }, "31": { "abbrev": "NE", "name": "Nebraska" }, "33": { "abbrev": "NH", "name": "New Hampshire" }, "34": { "abbrev": "NJ", "name": "New Jersey" }, "35": { "abbrev": "NM", "name": "New Mexico" }, "32": { "abbrev": "NV", "name": "Nevada" }, "36": { "abbrev": "NY", "name": "New York" }, "39": { "abbrev": "OH", "name": "Ohio" }, "40": { "abbrev": "OK", "name": "Oklahoma" }, "41": { "abbrev": "OR", "name": "Oregon" }, "42": { "abbrev": "PA", "name": "Pennsylvania" }, "72": { "abbrev": "PR", "name": "Puerto Rico" }, "44": { "abbrev": "RI", "name": "Rhode Island" }, "45": { "abbrev": "SC", "name": "South Carolina" }, "46": { "abbrev": "SD", "name": "South Dakota" }, "47": { "abbrev": "TN", "name": "Tennessee" }, "48": { "abbrev": "TX", "name": "Texas" }, "49": { "abbrev": "UT", "name": "Utah" }, "51": { "abbrev": "VA", "name": "Virginia" }, "78": { "abbrev": "VI", "name": "Virgin Islands" }, "50": { "abbrev": "VT", "name": "Vermont" }, "53": { "abbrev": "WA", "name": "Washington" }, "55": { "abbrev": "WI", "name": "Wisconsin" }, "54": { "abbrev": "WV", "name": "West Virginia" }, "56": { "abbrev": "WY", "name": "Wyoming" } };
var countyFIPS = {};
var projection = d3.geo.albersUsa()
.scale(500)
.translate([width/2, height/2]);
var path = d3.geo.path()
.projection(projection);
var color = d3.scale.quantile()
.domain([0,10,100,1000,10000])
.range(["#74c476","#41ab5d","#238b45","#006d2c","#00441b"]);
var dateRanges = ["1992_1996", "1997_2001", "2002_2006", "2007_2011"];
var calendarContainer = d3.select(".container").selectAll(".calendar")
.data(dateRanges)
.enter()
.append("div")
.attr("class", function(d) { return "calendar"; });
var calendarTitle = calendarContainer.append("div")
.attr("class", "calendarTitle")
.text(function(d) { return d.split("_").join(" - "); });
var svg = calendarContainer.append("svg")
.attr("width", width)
.attr("height", height)
.attr("class", function(d) { return "yr" + d; });
var counties = {}, lyme = {}, remaining = 2;
d3.json("us_counties.json", function(err, data) {
counties = data;
if (!--remaining) draw();
});
d3.csv("LymeDisease_9211_county.csv", function(err, data) {
lyme = data;
if (!--remaining) draw();
});
function draw() {
countyFIPS = d3.nest()
.key(function(d) { return d.properties.STATEFP; }) // nest by state
.entries(counties.features);
countyFIPS = countyFIPS.map(function(d) {
return { "state": d.key, "counties": d.values.reduce(function(prev, next) {
prev[next.properties.COUNTYFP] = next.properties.NAME;
return prev;
}, {})
};
}).reduce(function(prev, next) {
prev[next.state] = next.counties;
return prev;
}, {});
lyme = d3.nest()
.key(function(d) { return d.StateCode.length == 1 ? "0" + d.StateCode : d.StateCode; })
.entries(lyme);
lyme = lyme.map(function(d) {
return { "state": d.key, "counties": d.values.reduce(function(prev, next) {
var cc = "";
if (next.CountyCode.length == 1) {
cc = "00" + next.CountyCode;
} else if (next.CountyCode.length == 2) {
cc = "0" + next.CountyCode;
} else {
cc = next.CountyCode;
}
prev[cc] = next;
return prev;
}, {})
};
}).reduce(function(prev, next) {
prev[next.state] = next.counties;
return prev;
}, {});
svg.selectAll(".county") /* question here... kai says this: another way to access parent data from a child is `d3.select(this[0][0].parentNode).data() */
.data(function(previous_d) {
var whynot = counties.features.map(function(f) {
/* option 1
if (!f.yearRange) {
f.yearRange = previous_d;
} // this code sets f.yearRange = "1992_1996" for all counties on all 4 calendars
*/
/* option 2
f.yearRange = previous_d; // this code sets f.yearRange = "2007_2011" for all counties on all 4 calendars
*/
return f;
})
return whynot;
})
.enter()
.append("path")
.attr("class", function(d, i) { return "county"; })
.attr("d", path);
/* instead, I chose this way of coloring the calendars in. */
dateRanges.forEach(function(yearRange) {
calendarContainer.select("svg.yr" + yearRange).selectAll(".county")
.style("fill", function(d) {
var p = d.properties;
return ((lyme[p.STATEFP] && lyme[p.STATEFP][p.COUNTYFP] && lyme[p.STATEFP][p.COUNTYFP]["ConfirmedCount_" + yearRange] != "") ? color(+lyme[p.STATEFP][p.COUNTYFP]["ConfirmedCount_" + yearRange]) : "#e0e0e0");
})
.on("mouseover", function(d) {
filterAll(d);
})
});
}
function filterAll(d) {
var p = d.properties;
var readings = [];
dateRanges.forEach(function(yearRange) {
var r = {};
r.yearRange = yearRange;
r.county = countyFIPS[p.STATEFP][p.COUNTYFP] + " County, " + stateFIPS[p.STATEFP].name;
if (lyme[p.STATEFP] && lyme[p.STATEFP][p.COUNTYFP] && lyme[p.STATEFP][p.COUNTYFP]["ConfirmedCount_" + yearRange] != "") { // valid reading for this county at this year range
var l = lyme[p.STATEFP][p.COUNTYFP]["ConfirmedCount_" + yearRange];
r.reading = l + (l == "1" ? " confirmed case" : " confirmed cases");
} else {
r.reading = "No Data";
}
readings.push(r);
});
calendarTitle
.data(readings)
.text(function(d) {
return d.yearRange.split("_").join(" - ") + ": " + d.county + ", " + d.reading;
});
}
</script>