md`# Map Interpretation
The Asian population of the continental United States in 2010 shows there are higher concentrations on the east and west coasts, as well as parts of the northern midwest. The highest Asian population is shown in California and New York, demonstrated by the largest blue circles, which could be due to the high rates of diversity in these states and their higher than average populations. It is likely that the Asian population is fewer than 100,000 in most of the midwest, and south due to the populations here over all being relatively lower than those on the coasts.`
height = 610
width = 975
path_points = d3.geoPath().projection(projection)
path_basemap = d3.geoPath().projection(projection)
projection = d3.geoAlbers()
format = d3.format(".2s")
//proportional symbols
//radius = d3.scaleSqrt([0, d3.max(attribute)], [0, 30])
radius = d3.scaleThreshold()
.domain(naturalbreaks)
.range(radiusArray)
sizeArrayForLegend = Array.from(radiusArray, d=>Math.PI*Math.pow(d, 2))
radiusArray = [3, 9, 23, 40]
circleLabels = Array.from(naturalbreaks, d=> format(Math.pow(d, 2)))
colors = d3.scaleThreshold()
.domain(naturalbreaks)
.range(Blue)
Blue = ["#f1eef6", "#bdc9e1", "#74a9cf", "#0570b0"]
naturalbreaks = simple.ckmeans(attribute, 4).map(v => v.pop())
d3.max(attribute)
attribute = Array.from(points.features, d=>Math.sqrt(d.properties[attributeName]))
attributeName = "ASIAN"
idName = "STATE_NAME"
//import the point data (geojson)
points = FileAttachment("uspoints.geojson").json()
//import the polygon base map data
basepolygons = FileAttachment("ussimple.json").json()
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.
