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")
{
let indices = [];
for (var i in msa.features) {
let area = msa.features[i].properties.name;
if (area.includes("Iowa City")) {
indices.push(i);
}
}
return indices
}
{
let indices = [11, 44, 47];
let msas = [];
indices.forEach(i => (msas.push(msa.features[i])));
return msas;
}
colorScale(opt_by_msa[msa.features[44].properties.name])
strokeScale(opt_by_msa[msa.features[44].properties.name])
msa = d3.json('https://gist.githubusercontent.com/apaarty/70843364dbbb62b751e66cec56b73ad5/raw/ca77ba829fd05fef636fd1288c6a1bbe6d9e347d/cb_2013_us_cbsa_5m.geojson')
us.objects["msa"]=msa
usa = d3.json("https://gist.githubusercontent.com/nbailey/5a4d2fcb6d344a31b017dd98822e0ce1/raw/7a042b265e32c48f96254d6c4802f4e306b6e4bc/usa_states.geojson")
usa.features[11];
msa.features[11];
chosen_msa
viewof chosen_msa = {
let width = 960;
let height = 600;
let value = null;
// Create SVG
let svg = d3.select(DOM.svg(width, height));
let g1 = svg.append("g");
let g2 = 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);
const outlineClick = svg.append("path")
.attr("fill", "red")
.attr("stroke", "black")
.attr("pointer-events","none");
// //let path = d3.geoPath();
// // Bind TopoJSON data
g1.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
g2.selectAll("path")
.data(msa.features) // Bind TopoJSON data elements
.enter().append("path")
.attr("d", projPath)
.attr("class", "metro-area")
// .style("fill", "black").style("stroke", "white")
.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").attr("background", colorScale(OPTbyMSA[d.properties.name])).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"))
.on("click", d => {
const node = svg.node();
node.value = value = value === d.properties.name ? null : d.properties.name;
node.dispatchEvent(new CustomEvent("input"));
outlineClick.attr("d", value ? projPath(d) : null);
//show the country name and load the data
});
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(msa.features) // Bind TopoJSON data elements
.enter().append("path")
.attr("d", path)
.style("fill", d => OPTbyMSA[d.properties.name] ? "black" : "none") // 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"));
return svg.node();
}
colorScale = function(value) {
if (value == undefined) {
return "none";
} else {
return color(Math.log(value));
}
}
color = d3.scaleQuantize()
.domain([Math.log(d3.min(Object.values(OPTbyMSA)))-1, Math.log(d3.max(Object.values(OPTbyMSA)))])
.range(["#474557",
"#535166",
"#5E5C74",
"#6A6883",
"#767391",
"#817E9F",
"#8C89A7",
"#9795B0",
"#A3A1B9",
"#AEACC1",
"#BAB8CA",
"#C5C4D3",
"#D1D0DC",
"#DCDBE4",
"#E8E7ED",
"#F3F3F6"
].reverse());
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("color", "#e7eeef")
.style("padding", "5px")
.style("opacity", "1")
.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)
strokeScale = function(value) {
if (value == undefined) {
return "none";
} else {
return "black";
}
}
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