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Edited
Feb 25, 2023
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md`# Rock County Map`
d3 = require("d3@5")
topojson = require("topojson-client@3")
rockcounty = FileAttachment("rockcountymap.json").json()
rockcounty_features = topojson.feature(rockcounty, rockcounty.objects.rockcountymap)
csv_data = d3.csvParse(await FileAttachment("rockcountydata.csv").text(),({CensusTract, Pop2010, lalowi1}) => [CensusTract, [+Pop2010, +lalowi1, +lalowi1/+Pop2010]])
CensusTract = Array.from(csv_data.values(), d => d[0])
//this is how to take the values of a variable (column) from all variables you created from the csv file
Pop2010 = Array.from(csv_data.values(), d => d[1][0])
lalowi1 = Array.from(csv_data.values(), d => d[1][1])
Proportion_access = Array.from(csv_data.values(), d => d[1][2])
//this is how you map the id column to the values. We will use this for joining with topojson later.
data = Object.assign(new Map(csv_data), {title: ["Supermarket Accessibility"]})
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.
