| license: mit |
My first D3 map showing my travel across the US. This visualization was built by modifying choropleth example code by Scott Murray, tooltip example code by Malcolm Maclean, and legend code example by Mike Bostock.
forked from michellechandra's block: Basic US State Map - D3
forked from scresawn's block: West Nile Virus
forked from scresawn's block: West Nile Virus (simplified)
forked from 7man10's block: Zika Virus
forked from 7man10's block: Zika Virus 2015
| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8"> | |
| <script src="http://d3js.org/d3.v3.min.js"></script> | |
| <style type="text/css"> | |
| /* On mouse hover, lighten state color */ | |
| path:hover { | |
| fill-opacity: .9; | |
| } | |
| body { | |
| font: 11px sans-serif; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <script type="text/javascript"> | |
| /* This visualization was made possible by modifying code provided by: | |
| Scott Murray, Choropleth example from "Interactive Data Visualization for the Web" | |
| https://github.com/alignedleft/d3-book/blob/master/chapter_12/05_choropleth.html | |
| Malcolm Maclean, tooltips example tutorial | |
| http://www.d3noob.org/2013/01/adding-tooltips-to-d3js-graph.html | |
| Mike Bostock, Pie Chart Legend | |
| http://bl.ocks.org/mbostock/3888852 */ | |
| //Width and height of map | |
| var width = 960; | |
| var height = 500; | |
| // D3 Projection | |
| var projection = d3.geo.albersUsa() | |
| .translate([width/2, height/2]) // translate to center of screen | |
| .scale([1000]); // scale things down so see entire US | |
| // Define path generator | |
| var path = d3.geo.path() // path generator that will convert GeoJSON to SVG paths | |
| .projection(projection); // tell path generator to use albersUsa projection | |
| /* set color_by variable to column header you want to display */ | |
| var color_by = "Total cases"; | |
| var color = d3.scale.log() | |
| .range(["White", "Black"]); | |
| //Create SVG element and append map to the SVG | |
| var svg = d3.select("body") | |
| .append("svg") | |
| .attr("width", width) | |
| .attr("height", height); | |
| // Load in my states data | |
| d3.csv("WestNile.csv", function(data) { | |
| //console.log(data); | |
| data.forEach(function(d){ | |
| d["Neuroinvasive Disease Cases"] = +d["Neuroinvasive Disease Cases"]; | |
| d["Non–neuroinvasive Disease Cases"] = +d["Non–neuroinvasive Disease Cases"]; | |
| d["Total cases"] = +d["Total cases"]; | |
| d["Deaths"] = +d["Deaths"]; | |
| d["Presumptive viremic blood donors"] = +d["Presumptive viremic blood donors"]; | |
| }); | |
| color.domain([d3.min(data, function(d) { return d[color_by] || Infinity;; }),d3.max(data, function(d) { return d[color_by]; })]); // setting the range of the input data | |
| console.log([d3.min(data, function(d) { console.log("color",d[color_by]); return d[color_by] || Infinity;; }),d3.max(data, function(d) { return d[color_by]; })]) | |
| // Load GeoJSON data and merge with states data | |
| d3.json("us-states.json", function(json) { | |
| // Loop through each state data value in the .csv file | |
| for (var i = 0; i < data.length; i++) { | |
| //console.log("i", i, data[i][color_by]); | |
| // Grab State Name | |
| var dataState = data[i].State; | |
| var dataValue = data[i][color_by]; | |
| // Find the corresponding state inside the GeoJSON | |
| for (var j = 0; j < json.features.length; j++) { | |
| var jsonState = json.features[j].properties.name; | |
| //console.log(jsonState); | |
| if (dataState == jsonState) { | |
| // Copy the data value into the JSON | |
| json.features[j].properties.cases = dataValue; | |
| //console.log(jsonState,json.features[j].properties.cases); | |
| // Stop looking through the JSON | |
| break; | |
| } | |
| } | |
| } | |
| // Bind the data to the SVG and create one path per GeoJSON feature | |
| svg.selectAll("path") | |
| .data(json.features) | |
| .enter() | |
| .append("path") | |
| .attr("d", path) | |
| .style("stroke", "#353535") | |
| .style("stroke-width", "1") | |
| .style("fill", function(d) { | |
| // Get data value | |
| var value = d.properties.cases; | |
| //console.log("value", value, color(value)); | |
| if (value && color(value)) { | |
| return color(value); | |
| } else { | |
| return "MistyRose"; | |
| } | |
| }); | |
| }); | |
| }); | |
| </script> | |
| </body> | |
| </html> |
| State | Neuroinvasive Disease Cases | Non–neuroinvasive Disease Cases | Total cases | Deaths | Presumptive viremic blood donors | |
|---|---|---|---|---|---|---|
| Alabama | 8 | 7 | 15 | 0 | 3 | |
| Arizona | 57 | 21 | 78 | 5 | 11 | |
| Arkansas | 8 | 1 | 9 | 1 | 1 | |
| California | 315 | 109 | 424 | 19 | 47 | |
| Colorado | 59 | 90 | 149 | 8 | 9 | |
| Connecticut | 1 | 0 | 1 | 0 | 0 | |
| District of Columbia | 1 | 0 | 1 | 0 | 0 | |
| Florida | 5 | 1 | 6 | 0 | 2 | |
| Georgia | 5 | 1 | 6 | 0 | 6 | |
| Idaho | 3 | 6 | 9 | 0 | 1 | |
| Illinois | 28 | 125 | 153 | 5 | 9 | |
| Indiana | 15 | 3 | 18 | 2 | 5 | |
| Iowa | 14 | 23 | 37 | 1 | 5 | |
| Kansas | 17 | 19 | 36 | 4 | 7 | |
| Kentucky | 5 | 3 | 8 | 1 | 1 | |
| Louisiana | 20 | 20 | 40 | 1 | 6 | |
| Massachusetts | 10 | 6 | 16 | 0 | 0 | |
| Maryland | 6 | 0 | 6 | 0 | 0 | |
| Michigan | 41 | 1 | 42 | 3 | 5 | |
| Minnesota | 31 | 35 | 66 | 5 | 16 | |
| Mississippi | 27 | 16 | 43 | 1 | 13 | |
| Missouri | 8 | 2 | 10 | 0 | 0 | |
| Montana | 3 | 3 | 6 | 1 | 2 | |
| Nebraska | 34 | 60 | 94 | 0 | 30 | |
| Nevada | 13 | 3 | 16 | 0 | 1 | |
| New Jersey | 11 | 0 | 11 | 1 | 2 | |
| New Mexico | 6 | 0 | 6 | 1 | 0 | |
| New York | 6 | 13 | 19 | 1 | 0 | |
| North Carolina | 2 | 0 | 2 | 0 | 0 | |
| North Dakota | 14 | 54 | 68 | 2 | 0 | |
| Ohio | 13 | 5 | 18 | 4 | 5 | |
| Oklahoma | 17 | 12 | 29 | 0 | 7 | |
| Oregon | 2 | 1 | 3 | 0 | 1 | |
| Pennsylvania | 11 | 5 | 16 | 2 | 3 | |
| Rhode Island | 2 | 0 | 2 | 0 | 0 | |
| South Carolina | 6 | 3 | 9 | 0 | 4 | |
| South Dakota | 35 | 116 | 151 | 6 | 16 | |
| Tennessee | 3 | 3 | 6 | 1 | 1 | |
| Texas | 240 | 113 | 353 | 16 | 44 | |
| Utah | 7 | 6 | 13 | 1 | 0 | |
| Vermont | 2 | 1 | 3 | 0 | 0 | |
| Virginia | 6 | 2 | 8 | 0 | 2 | |
| Washington | 8 | 1 | 9 | 1 | 2 | |
| West Virginia | 0 | 1 | 1 | 0 | 0 | |
| Wisconsin | 8 | 4 | 12 | 1 | 7 | |
| Wyoming | 7 | 3 | 10 | 0 | 1 |
| States | Symptomatic disease cases | Presumptive viremic blood donors | Total cases | |
|---|---|---|---|---|
| Alabama | 37 | 0 | 37 | |
| Arizona | 54 | 1 | 55 | |
| Arkansas | 13 | 0 | 13 | |
| California | 421 | 4 | 425 | |
| Colorado | 55 | 0 | 55 | |
| Connecticut | 58 | 0 | 58 | |
| Delaware | 17 | 0 | 17 | |
| District of Columbia | 39 | 0 | 39 | |
| Florida | 1115 | 23 | 1138 | |
| Georgia | 107 | 0 | 107 | |
| Hawaii | 11 | 0 | 11 | |
| Idaho | 4 | 0 | 4 | |
| Illinois | 103 | 0 | 103 | |
| Indiana | 49 | 0 | 49 | |
| Iowa | 26 | 1 | 27 | |
| Kansas | 20 | 0 | 20 | |
| Kentucky | 32 | 0 | 32 | |
| Louisiana | 38 | 0 | 38 | |
| Maine | 12 | 0 | 12 | |
| Maryland | 130 | 0 | 130 | |
| Massachusetts | 118 | 1 | 119 | |
| Michigan | 67 | 0 | 67 | |
| Minnesota | 67 | 0 | 67 | |
| Mississippi | 23 | 0 | 23 | |
| Missouri | 35 | 0 | 35 | |
| Montana | 9 | 0 | 9 | |
| Nebraska | 13 | 0 | 13 | |
| Nevada | 22 | 1 | 23 | |
| New Hampshire | 11 | 0 | 11 | |
| New Jersey | 180 | 0 | 180 | |
| New Mexico | 10 | 0 | 10 | |
| New York | 1001 | 2 | 1003 | |
| North Carolina | 97 | 0 | 97 | |
| North Dakota | 3 | 0 | 3 | |
| Ohio | 83 | 0 | 83 | |
| Oklahoma | 29 | 0 | 29 | |
| Oregon | 47 | 0 | 47 | |
| Pennsylvania | 175 | 0 | 175 | |
| Rhode Island | 54 | 0 | 54 | |
| South Carolina | 59 | 0 | 59 | |
| South Dakota | 3 | 0 | 3 | |
| Tennessee | 61 | 0 | 61 | |
| Texas | 312 | 4 | 316 | |
| Utah | 21 | 0 | 21 | |
| Vermont | 11 | 0 | 11 | |
| Virginia | 108 | 0 | 108 | |
| Washington | 69 | 0 | 69 | |
| West Virginia | 11 | 0 | 11 | |
| Wisconsin | 60 | 0 | 60 | |
| Wyoming | 2 | 0 | 2 |