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+const yearRange = [uniqueYears[0], uniqueYears[uniqueYears.length - 1]]; +const yearInput = Inputs.range(yearRange, {step: 1, value: uniqueYears[0], width: 150}); +const selectedYear = Generators.input(yearInput); +yearInput.querySelector("input[type=number]").remove(); +``` + +```js +const uniquePUMAs = await db.query(` + SELECT DISTINCT puma FROM data + WHERE year = 2020 +`).then(data => data.map(d => d.puma)); +``` + +```js +const uniquePUMAs = await db.query("SELECT DISTINCT puma FROM data WHERE year = 2020").then(data => data.map(d => d.puma)); +const selectedPUMA = Inputs.select(uniquePUMAs, {label: "Select PUMA", value: uniquePUMAs[0]}); +``` + +```js +const orderSectors = Generators.observe(change => { + const mostRecentYear = uniqueYears[uniqueYears.length - 1]; + const query = ` + SELECT sector, SUM(income * count) / SUM(count) AS mean_income + FROM data + WHERE year = ${mostRecentYear} AND puma = '${selectedPUMA}' + GROUP BY sector + ORDER BY mean_income DESC + `; + db.query(query).then(data => change(data.map(d => d.sector))); +}); +``` + +```js +const income = Generators.observe((change) => { + const query = ` + SELECT income, count, sector FROM data + WHERE year = ${selectedYear} AND puma = '${selectedPUMA}' + `; + db.query(query).then(change); +}); +``` + +```js +function incomeChart(income, width) { + // Create a histogram with a logarithmic base. + return Plot.plot({ + width, + marginLeft: 60, + x: { type: "log" }, + y: { axis: null }, // Hide the y-axis + color: { legend: "swatches", columns: 6, domain: orderSectors }, + marks: [ + Plot.rectY( + income, + Plot.binX( + { y: "sum" }, + { + x: "income", + y: "count", + fill: "sector", + order: orderSectors, + thresholds: d3 + .ticks(Math.log10(2_000), Math.log10(1_000_000), 40) + .map((d) => +(10 ** d).toPrecision(3)), + tip: true, + } + ) + ), + ], + }); +} +``` + +

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