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
title = ["Park Tree Rings 2012-2020", "each ring is a year and the color are the points"]
cities = new Set(parkData.map(d => d.city))
ind = d3.scaleOrdinal(cities).range(Array.from(Array(cities.size).keys()))
parkCsv=Promise.all(["https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-06-22/parks.csv"].map(file => d3.csv(file)))
max_r = (space-elements*padding)/(2*elements)
padding = 10
space = width - margin.left - margin.right
elements = 10 // sqrt of 100
height = width+margin.bottom+margin.top-margin.left-margin.right
backgroundColor = "#FAEFD1"
margin = ({top: 100, right: 20, bottom: 50, left: 20})
html`<link href="https://fonts.googleapis.com/css?family=IBM+Plex+Mono&display=swap" rel="stylesheet">`
import {legend, swatches} from "@d3/color-legend"
import {wrap_text_nchar} from "@ben-tanen/svg-text-and-tspan-word-wrapping"
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
