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Fotis
Public
Edited
Oct 25, 2023
Fork of Session 3: Introduction to Observable Plot (Follow-along version)
5
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wb_tidy.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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Meteorite_Landings.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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viewof pickColor = Inputs.color({label: "Favorite color", value: "#4682b4"})
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// Update the fill option to depend on the value of pickColor to make it interactive!
Plot.plot({
marks: [
Plot.dot(cars, {x: "power (hp)", y: "economy (mpg)"})
]
})
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aapl = FileAttachment("aaplStock.csv").csv({typed: true})
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goog = FileAttachment("googStock.csv").csv({typed: true})
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tsla = FileAttachment("tslaStock.csv").csv({typed: true})
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dateParse = d3.timeParse("%m/%d/%y")
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stocks = aapl.map(d => ({...d, symbol: "aapl"})).concat(goog.map(d => ({...d, symbol: "goog"})), tsla.map(d => ({...d, symbol: "tsla"}))).map(d => ({...d, Date: dateParse(d.Date)}))
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import {land} from "@observablehq/plot-live-earthquake-map"
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import { showMe } from "@observablehq/show-me"
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