Visualization, Prototypes, ML, Data wrangling and Art.
Published
Edited
Mar 2, 2020
Importers
chart.move([2,4])
mutable selection = []
mutable selectionEnd = []
data = d3.csvParse(await FileAttachment("alphabet.csv").text(), ({letter, frequency}) => (+frequency)).sort((a, b) => b - a)
x = d3.scaleLinear()
.domain([0,data.length])
.range([margin.left, width - margin.right])
//.padding(0.1)
y = d3.scaleLinear()
.domain([0, d3.max(data, d => d)]).nice()
.range([height - margin.bottom, margin.top])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).tickSizeOuter(0))
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
.call(g => g.select(".domain").remove())
height = 500
margin = ({top: 20, right: 0, bottom: 30, left: 40})
d3 = require("d3@5")
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.
