viewof currentCases = new View(2000)
viewof daysToDoubling = new View(6.0)
viewof percentageOfBedsOccupied = new View(65)
viewof percentageOfSevereCases = new View(10)
md`### Visualization Helpers
Much thanks to @mbostock, from https://observablehq.com/@d3/styled-axes`
resetFunction = () => {
viewof currentCases.value = 2000;
viewof daysToDoubling.value = 6;
viewof percentageOfBedsOccupied.value = 65;
viewof percentageOfSevereCases.value = 10;
}
casesTimeSeriesBisector = d3.bisector(d => d.cases).right
areaGenerator = d3.area()
.x(function(d) { return dateScale(d.date); })
.y1(function(d) { return casesScale(d.cases); })
.y0(casesScale(0));
xAxis = svg => svg
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(dateScale)
.ticks(d3.timeWeek.every(2))
.tickFormat(dateFormat))
.call(g => g.select(".domain")
.remove())
yAxis = svg => svg
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisRight(casesScale)
.tickSize(width - margin.left - margin.right))
.call(g => g.select(".domain")
.remove())
.call(g => g.selectAll(".tick:not(:first-of-type) line")
.attr("stroke-opacity", 0.5)
.attr("stroke-dasharray", "2,2"))
.call(g => g.selectAll(".tick text")
.attr("x", 4)
.attr("dy", -4))
height = 450
margin = ({top: 20, right: 0, bottom: 30, left: 0})
numberFormat = d3.format(",.4r")
largeNumberFormat = d3.formatPrefix(",.1", 1e6)
dateFormat = d3.timeFormat("%Y-%m-%d");
dateFormatInProse = d3.timeFormat("%b %e");
casesScale = d3.scaleLinear()
.domain(casesDomain)
.range([height - margin.bottom, margin.top])
dateScale = d3.scaleTime()
.domain(dateDomain)
.range([margin.left, width - margin.right])
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.
