The Journey of Coffee
d3 = require("d3@6")
line = FileAttachment("lines_03.txt").tsv({array:true})
worldMap = FileAttachment("World Map.geojson").json()
chart = {
const width = 1000,
height = 1200;
const svg = d3.create("svg")
.attr("viewBox", [50, 50, width-80, height-100]);
// Use Mercator projection
var projection = d3
.geoMercator()
.fitSize([width - 50, height - 50], mapBoundaries);
var path1 = d3.geoPath().projection(projection);
var path2 = d3.geoPath().projection(projection);
var path3 = d3.geoPath().projection(projection);
var g = svg.append("g").attr("id", "paths");
g.selectAll("path2") //d3 geopath
.data(subLns.features) //get data to define path
.enter() //there are more data than elements, this selects them
.append("path") //appends path to data
.attr('class','outlines')
.attr("d", path2) //The d attribute defines a path to be drawn, only applies to appended elements
.style("fill", "none")
.style('stroke-opacity','1')
.style("stroke-width", '.75')
.style("stroke", "rgb(0,0,0)")
g.selectAll("path3") //d3 geopath
.data(worldMap.features) //get data to define path
.enter() //there are more data than elements, this selects them
.append("path") //appends path to data
.attr('class','outlines')
.attr("d", path3) //The d attribute defines a path to be drawn, only applies to appended elements
.style("fill", "rgb(120,108,240)")
.style("fill-opacity", ".5")
.style('stroke-opacity','.4')
.style("stroke-width", '.5')
.style("stroke", "rgb(0,0,0)")
var cir = svg.selectAll("circle")
.data(datapoints) //get data to define path
.enter() //there are more data than elements, this selects them
.append("circle") //appends path to data
.attr("r", "3")
.attr("cx", function(d) {return projection([d.Long,d.Lat])[0]})
.attr("cy", function(d) {return projection([d.Long,d.Lat])[1]})
.style("fill", "red")
.style("fill-opacity", "1")
.style('stroke-opacity','.4')
.style("stroke-width", '.5')
.style("stroke", "rgb(0,0,0)")
var p = svg.selectAll("polyline")
.data(line) //get data to define path
.enter() //there are more data than elements, this selects them
.append("polyline") //appends path to data
.attr('points', function(d){return d})
.style("fill", "red")
.style("fill-opacity", "0")
.style('stroke-opacity','1')
.style("stroke-width", '1')
.style("stroke", "rgb(0,0,0)")
return svg.node();
}
lines_03 = FileAttachment("lines_03.txt").text()
mapBoundaries = FileAttachment("Map Boundaries.geojson").json()
subSts = FileAttachment("sub_stops.geojson").json()
bldgs = FileAttachment("bldgs.geojson").json()
bbox = FileAttachment("site_boundary.geojson").json()
subLns = FileAttachment("subway_lines.geojson").json()
boundary = FileAttachment("nyc_boundary.geojson").json()
datapointslink = "https://docs.google.com/spreadsheets/d/e/2PACX-1vT1BL-WtTLPRs3EKYu-SdX7U1isDxO1WyAuNrMYAJtPl44eguh-XMzNVVIdYOud9Kot4MU36VPf2CVg/pub?output=csv"
datapoints = d3.csv(datapointslink,d3.autoType())
lines_02 = FileAttachment("lines_02.txt").text()
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
