md`# OPT MSAs`
vegalite = require("@observablehq/vega-lite@0.1")
z = require('https://bundle.run/zebras@0.0.11')
d3 = require("d3@5")
opt = d3.csv("https://gist.githubusercontent.com/apaarty/45aef751a3124c57e23ca971f67916b8/raw/d4827970c216a5ee8e49b449d454e18a1ad8ca8c/gistfile1.txt")
+"8700"
z.head(5,opt)
vegalite({
data: {values: opt},
mark: "circle",
encoding: {
x: {field: "Lon", type: "quantitative",scale: {domain:[-170,-50]}},
y: {field: "Lat", type: "quantitative",scale: {domain:[20,50]}}
}
})
topojson = require("topojson-client@3")
us = d3.json("https://unpkg.com/us-atlas@1/us/10m.json")
msa = d3.json('https://gist.githubusercontent.com/apaarty/70843364dbbb62b751e66cec56b73ad5/raw/ca77ba829fd05fef636fd1288c6a1bbe6d9e347d/cb_2013_us_cbsa_5m.geojson')
usa = d3.json("https://gist.githubusercontent.com/nbailey/5a4d2fcb6d344a31b017dd98822e0ce1/raw/7a042b265e32c48f96254d6c4802f4e306b6e4bc/usa_states.geojson")
msa2 = d3.json("https://gist.githubusercontent.com/nbailey/364f8cf138350685c9ea02092bde178f/raw/42709a800d293d9d46ddf4464859f33a7a8b3325/us_2013_cbsa_5m.json")
us.objects['msa'] = msa2.objects.cb_2013_us_cbsa_5m;
{
let width = 960;
let height = 600;
// Create SVG
let svg = d3.select(DOM.svg(width, height));
let g = svg.append("g");
// Create empty object for holding dataset
const OPTbyMSA = {};
// Create property for each ID, give it value from rate
opt.forEach(d => (OPTbyMSA[d["Metro area"]] = +d["Total number who worked in area following school"]));
let projPath = d3.geoPath().projection(projection);
//let path = d3.geoPath();
// Bind TopoJSON data
g.selectAll("path")
.data(usa.features) // Bind TopoJSON data elements
.enter().append("path")
.attr("d", projPath)
.style("fill", "none") // get rate value for property matching data ID
// pass rate value to color function, return color based on domain and range
.style("stroke", "black")
//let path = d3.geoPath();
// Bind TopoJSON data
g.selectAll("path")
.data(msa.features) // Bind TopoJSON data elements
.enter().append("path")
.attr("d", projPath)
.style("fill", d => colorScale(OPTbyMSA[d.properties.name])) // get rate value for property matching data ID
// pass rate value to color function, return color based on domain and range
.style("stroke", d => strokeScale(OPTbyMSA[d.properties.name]))
// .style("stroke", "none")
.on("mouseover", d => tooltip.style("visibility", "visible").text(d.properties.name + " " + OPTbyMSA[d.properties.name]))
.on("mousemove", d => tooltip.style("top", (d3.event.pageY-10)+"px").style("left",(d3.event.pageX+10)+"px").html(d.properties.name + " " + OPTbyMSA[d.properties.name]))
.on("mouseout", d => tooltip.style("visibility", "hidden"));
return svg.node();
}
{
let width = 960;
let height = 600;
// Create SVG
let svg = d3.select(DOM.svg(width, height));
let g = svg.append("g");
// Create empty object for holding dataset
const OPTbyMSA = {};
// Create property for each ID, give it value from rate
opt.forEach(d => (OPTbyMSA[d["Metro area"]] = +d["Total number who worked in area following school"]));
//let path = d3.geoPath();
// Bind TopoJSON data
g.selectAll("path")
.data(topojson.feature(us, us.objects.msa).features) // Bind TopoJSON data elements
.enter().append("path")
.attr("d", path)
.style("fill", d => colorScale(OPTbyMSA[d.properties.name])) // get rate value for property matching data ID
// pass rate value to color function, return color based on domain and range
.style("stroke", "white")
.on("mouseover", d => tooltip.style("visibility", "visible").text(d.properties.name + " " + OPTbyMSA[d.properties.name]))
.on("mousemove", d => tooltip.style("top", (d3.event.pageY-10)+"px").style("left",(d3.event.pageX+10)+"px").html(d.properties.name + " " + OPTbyMSA[d.properties.name]))
.on("mouseout", d => tooltip.style("visibility", "hidden"));
g.append("path")
.datum(topojson.mesh(us, us.objects.states, (a, b) => a !== b))
.attr("fill", "none")
.attr("stroke", "black")
.attr("d", path);
return svg.node();
}
msa.features
topojson.mesh(us, us.objects.states, (a, b) => a !== b)
colorScale = function(value) {
if (value == undefined) {
return "none";
} else {
return color(Math.log(value));
}
}
strokeScale = function(value) {
if (value == undefined) {
return "none";
} else {
return "black";
}
}
color = d3.scaleQuantize()
.domain([0, Math.log(d3.max(Object.values(OPTbyMSA)))])
.range(d3.schemePurples[5]);
OPTbyMSA = {
const OPTbyMSA = {};
// Create property for each ID, give it value from rate
opt.forEach(d => (OPTbyMSA[d["Metro area"]] = +d["Total number who worked in area following school"]));
return OPTbyMSA
}
tooltip = d3.select("body")
.append("div")
.style("position", "absolute")
.style("font-family", "'Open Sans', sans-serif")
.style("font-size", "12px")
.style("background","white")
.style("padding", "5px")
.style("opacity", ".6")
.style("z-index", "10")
.style("visibility", "hidden");
projection = d3.geoAlbers()
path = d3.geoPath()//.projection(projection)
{
let width = 960;
let height = 600;
// Create SVG
let svg = d3.select(DOM.svg(width, height));
let g = svg.append("g");
// Bind TopoJSON data
g.selectAll("path")
.data(msa.features) // Bind TopoJSON data elements
.enter().append("path")
.attr("d", path)
.style("fill", "white")
.style("stroke", "black");
return svg.node();
}
topojson.feature(msa, msa)
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