md`# Assignment 3 Grubbs
Proportion of Rural Residents in Ohio Counties`
d3 = require("d3@5")
import {legend} from "@d3/color-legend"
simple = require("simple-statistics@7.0.7/dist/simple-statistics.min.js")
format = d => `${d}%`
topojson = require("topojson-client@3")
ohio_counties = FileAttachment("Ohio_counties.json").json()
county_features = topojson.feature(ohio_counties, ohio_counties.objects.Ohio_counties_1)
csv_data = d3.csvParse(await FileAttachment("OhioCounties.csv").text(),({FIPS, Num_Rural, Population}) => [+FIPS,+Num_Rural/+Population])
data = Object.assign(new Map(csv_data), {title: "Proportion of Residents Who are Rural"})
propRural = Array.from(csv_data.values(), d => d[1])
YlOrBr = [d3.color("#ffffd4"), d3.color("#fed98e"), d3.color("#fe9929"), d3.color("#cc4c02")]
color = d3.scaleThreshold()
.domain([0.25, 0.5, 0.75])
.range(YlOrBr)
//more information on sequential scales: https://observablehq.com/@d3/sequential-scales
// color = d3.scaleSequentialQuantile([...data.values()], d3.interpolateBlues)
// color = d3.scaleQuantile()
// .domain(med_age)
// .range()
// color = d3.scaleThreshold()
// .domain(threshold)
// .range(YlOrBr)
width = 900
height = 950
margin = 100
//Rotate the map sets the longitude of origin for our UTM Zone 15N projection.
// projection = d3.geoTransverseMercator().rotate([84,0]).fitExtent([[80, 80], [width, height]], county_features);
//d3 reference for projections: https://github.com/d3/d3-geo/blob/master/README.md
//use the following url for specific projection settings: https://github.com/veltman/d3-stateplane
//Use this code to set up the map projection (if different than geographic projection)
// projection = d3.geoAlbers().fitExtent([[margin, margin], [width - margin, height - margin]], county_features)
projection = d3.geoMercator().fitExtent([[margin, margin], [width - margin, height - margin]], county_features)
//Using a path generator to project geometry onto the map
path = d3.geoPath().projection(projection);
choropleth = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
svg.append("g")
.attr("transform", "translate(300,20)")
.append(() =>
legend({
color: color,
title: data.title,
width: 300,
tickFormat: ".2f"
})
);
svg.append("g")
.selectAll("path")
.data(county_features.features)
.join("path")
.attr("stroke", "black")
.attr("stroke-linejoin", "round")
.attr("stroke-width", 1)
// .attr("fill", function(d){
// console.log(color(data.get(d.properties.FIPS)[0]))
// return color(data.get(d.properties.FIPS)[0]);
// })
.attr("fill", d => color(data.get(+d.properties.FIPS)))
.attr("d", path)
.append("title")
.text(d => " Rural Proportion: " + data.get(+d.properties.FIPS));
return svg.node();
}
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