height = 800
width = 600
path_points = d3.geoPath().projection(projection)
path_basemap = d3.geoPath().projection(projection)
projection = d3.geoTransverseMercator().rotate([94,0]).fitExtent([[80, 80], [width, height]], census_features);
format = d3.format(".2s")
radius(5539.2)
d3.min([...data.values()])
d3.max([...data.values()])
//proportional symbols
radius = d3.scaleSqrt([0, d3.max([...data.values()])], [0, 25])
data.get("58621-AREA0000000001")
data = Object.assign(new Map(csv_data))
csv_data = d3.csvParse(await FileAttachment("swinefeedlot_over300lb_export.csv").text(),({item_id, animal_cou}) => [item_id, +animal_cou])
//import the point data (geojson)
points = FileAttachment("swinefeedlots_over300lb_export.json").json()
census_features = topojson.feature(basepolygons, basepolygons.objects.MinnesotaCensusCAFO_ExportFeature)
//import the polygon base map data
basepolygons = FileAttachment("MinnesotaCensusCAFO_ExportFeature.json").json()
simple = require("simple-statistics@7.0.7/dist/simple-statistics.min.js")
topojson = require("topojson-client@3")
d3 = require("d3@5")
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.
