The avatar for @dis-2023-fall
DIS-2023-FALL
Public
Edited
Sep 25, 2023
Fork of Revenue over time
1
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viewof aggregation = Inputs.select(["day", "week", "month", "quarter"], {label: "Aggregation", value: "week"})
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Plot.plot({
marks: [
Plot.ruleY([0]),
Plot.lineY(ordersByPeriod, {x: "start_date", y: "revenue"})
],
y: {tickFormat: "$s"}
})
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pizzaOrders
SELECT DATE_TRUNC(${aggregation}, order_date) as start_date, sum(revenue) as revenue
FROM pizzaOrders
GROUP BY start_date
ORDER BY start_date
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pizza
Type Table, then Shift-Enter. Ctrl-space for more options.

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mta_daily_ridership_data__beginning_20209 = FileAttachment("MTA_Daily_Ridership_Data__Beginning_2020-9.csv").csv()
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