The avatar for @5knnbdwm
5knndbwm
Public
Edited
Feb 22, 2023
1
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url = FileAttachment("data.csv").url()
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x = d3.scaleLinear()
.domain([d3.min(data_set, d => d.basePay) - 10_000, d3.max(data_set, d => d.basePay) + 10_000])
.range([20, width - 20])
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d3.group(data_set, d => d.jobTitle)
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gby_jobTitle_mean = d3.rollup(data_set, v => d3.mean(v, v=> v.basePay), d => d.jobTitle)
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data_set_no_outliers = d3.filter(data_set, d => lower_0_05 < d.basePay && d.basePay < higest_0_95)
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data_no_out_gby_base_pay_count = d3.rollup(data_set_no_outliers, v => v, d => d.basePay)
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// Plot.plot({
// marks: [
// Plot.rectY(data_set_no_outliers, Plot.bin({y: 'count'}, {x: 'key'})).plot()
// ]
// })
Plot.rectY(data_set_no_outliers, Plot.bin({y: 'count'}, {x: 'basePay'})).plot()
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list_data_set_no_outliers
Type Table, then Shift-Enter. Ctrl-space for more options.

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