The avatar for @hellohowareyouhaveaniceday
Libo Li
Public
Edited
Feb 22, 2023
1 fork
1
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salary_data
Type Table, then Shift-Enter. Ctrl-space for more options.

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sd = R.clone(salary_data)
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highLocations = [
...d3.rollup(
us_jobs_yearly,
(v) => v.length,
(d) => d.location
)
]
.filter((d) => d[1] > 100)
.map((d) => d[0])
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Plot.plot({
marks: [
Plot.boxX(us_jobs_yearly, {
x: "salary",
y: "title"
})
],
y: {
domain: orderBySalary,
reverse: true
},
marginLeft: 150,
width: width
})
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R = require("ramda")
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archinect_jobs_clean = FileAttachment("archinect_jobs_clean.json").json()
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