Head coach data science @neuefische, @pyladieshamburg organizer , vice chair on the @python Software Verband, managing member @PSF and part of the D&I PSF work group
How much taller are men than women?
---
menrange = d3.extent(data, d=>d.men)
womenrange = d3.extent(data, d=>d.women)
x = d3.scaleLinear()
.domain([womenrange[0],menrange[1]])
.range([0.5, 1])
---
margin = ({top:10, bottom:30, left:30, right:30})
height = 400
width = 640
colors = ({background: "#F2EBD9", textcolor: "#020101", women: "#AE362E", men: "#6B8688"})
meepleFlatPath = "M71.64,54.28c-1.13,2.77,3.3,9.95,6.61,15.44c0,0,6.45,13.37,5.43,20.32H63.24c-2.36-3.45-8.82-14.85-10.09-17.61 c-1.36-2.93-2.92-3.73-3.52-3.93c-0.6,0.21-2.16,1-3.52,3.93c-1.28,2.76-7.73,14.15-10.09,17.61H15.59 c-1.02-6.96,5.43-20.32,5.43-20.32c3.31-5.49,7.74-12.67,6.61-15.44s-11.79-0.92-15.18-4c-1.96-1.78-1.86-4.85-1.79-6.68 c0.07-1.82,2.11-5.58,4.89-7.29c2.78-1.72,19.41-5.1,21.33-7.02s0.29-11.9,4.7-15.76c2.97-2.6,5.87-3.28,7.44-3.44v-0.04 c0,0,0.22-0.02,0.61,0c0.38-0.01,0.61,0,0.61,0v0.04c1.57,0.16,4.47,0.84,7.44,3.44c4.41,3.86,2.78,13.85,4.7,15.76 c1.92,1.92,18.55,5.3,21.33,7.02s4.82,5.47,4.89,7.29s0.18,4.9-1.79,6.68C83.42,53.37,72.77,51.51,71.64,54.28z"
import {wrap_text_nchar} from "@ben-tanen/svg-text-and-tspan-word-wrapping"
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