The avatar for @pdiazq
pdiazq
Python enthusiast, analytics, visual analytics
Public
Edited
Sep 1, 2023
Fork of Sneaker Sales by State for Off-White and Yeezy from StockX
2
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rawData = FileAttachment("StockX-Data-Contest-2019-31.csv").csv()
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stateData = FileAttachment("state-abbrevs1.csv").csv()
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data = rawData.map(d => ({
buyer_region: d.Buyer_Region,
brand: d.Brand,
sneaker_name: d.Sneaker_Name
}))
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viewof df = aq.from(data).view()
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viewof dsf = aq.from(stateData).view()
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viewof finalSneaker = df.join(dsf, ["buyer_region", "state"]).view()
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columns = ["abbreviation", "brand", "sneaker_name"]
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viewof groupKey = Select(["abbreviation"], { label: "Group by" })
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viewof colorKey = Select(["brand"], { label: "Color by", value: ["brand"] })
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viewof groupPivotedData = finalSneaker
.select(groupKey, colorKey)
.groupby(groupKey, colorKey)
.count()
.groupby(groupKey)
.pivot(colorKey, "count")
.view()
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chartData = groupPivotedData.objects()
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finalData = Object.assign(chartData, { y: "Number of Sneakers Bought" })
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keys = df
.groupby(colorKey)
.count()
.column(colorKey).data
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import { navio } from "@john-guerra/navio"
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import { aq, op } from '@uwdata/arquero'
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import { Select } from "@observablehq/inputs"
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import { chart } with {
finalData as data,
groupKey,
keys
} from "@d3/grouped-bar-chart"
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