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
padding = 20
h_padding = 60
h_parts = 5
rows = Math.round(items / h_parts)
max_r = (width - margin.left -margin.right - (h_parts-1)* padding)/(h_parts) // widht - margins - total paddign devided by how many
---
r = d3.scaleSqrt()
.domain(d3.extent(data, d => d.Land_Area_sqkm))
.range([1,150])
rp = d3.scaleSqrt()
.domain(d3.extent(data, d => d.Population_2020))
.range([1,148])
data = d3.csvParse(await FileAttachment("countryareasqm@2.csv").text(), d3.autoType).sort((a, b) => d3.descending(a.Land_Area_sqkm, b.Land_Area_sqkm))
---
margin = ({top: 100, right: 30, bottom: 30, left: 30})
height = 400
width = 640
---
colors = ({background: "#E8F0F6", textcolor: "#1F1C1B", graphic: "#515971", area: "#A1BCD1", pop: "#D68248"})
import { slider } from "@jashkenas/inputs"
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