The avatar for @dis-2023-fall
DIS-2023-FALL
Public
Edited
Sep 27, 2023
Fork of Learning Observable - Thomas Swartout
1
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MTA_Daily_Ridership_Data__Beginning_2020-9.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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mta_daily_ridership_data__beginning_20209
X
Date
Y
Subways
Color
—
Size
—
Facet X
—
Facet Y
—
Mark
Auto
Type Chart, then Shift-Enter. Ctrl-space for more options.

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viewof circleColor = Inputs.color({label: "Favorite color", value: "#4682b4"})
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viewof selectMetric = Inputs.select(["Subways", "Buses"], {label: "Select one"})
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Plot.plot({
marks: [
Plot.dotY(mta_daily_ridership_data__beginning_20209, {
x: "Date",
y: selectMetric,
tip: true,
r: 2,
fill: circleColor
}),
Plot.lineY(mta_daily_ridership_data__beginning_20209, {
x: "Date",
y: selectMetric,
tip: true,
stroke: "lightgray"
})
]
})
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Plot.plot({
marks: [
Plot.dot(mta_daily_ridership_data__beginning_20209, {x: "Subways", y: "Buses"})
]
})
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a = 10 * 12;
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mta_daily_ridership_data__beginning_20209
SELECT * FROM mta_daily_ridership_data__beginning_20209
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d3.json("https://data.ny.gov/resource/vxuj-8kew.json")
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import { pizzeriaDB } from '@observablehq/pizza-paradise-data'
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pizzeriaDB
SELECT * FROM products
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myVar=10
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