Software Engineer
Published
Edited
Apr 16, 2020
range=[
{color:'lightgray',point:[new Date('2008'),200]},
{color:'red',point:[new Date('2009'),200]}
,{color:'yellow',point:[new Date('2010'),300]}
,{color:'orange',point:[new Date('2011'),600]}
,{color:'green',point:[new Date('2013'),400]}
]
result=createPattern(range)
createPattern=(data)=>
{return data.map((datum,index)=>{
const next=data[index+1]
const previous=data[index-1]
if(!previous){
console.log("datum",datum)
const x1=0
const w= x(datum.point[0])
const h=datum.point[1]
return {x:x1,w,h,color:datum.color}
}
console.log(next,datum)
if(!next){
console.log("datum",datum)
const x1=x(previous.point[0])
const w= width
const h=datum.point[1]
return {x:x1,w,h,color:datum.color}
}
const x1=x(previous.point[0])
const w=x(datum.point[0])-x(previous.point[0])
const h=datum.point[1]
return{x:x1,w,h,color:datum.color}
})
}
height = 500
margin = ({top: 20, right: 20, bottom: 30, left: 30})
x = d3.scaleUtc()
.domain(d3.extent(data, d => d.date))
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.value)]).nice()
.range([height - margin.bottom, margin.top])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).ticks(width / 80).tickSizeOuter(0))
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
.call(g => g.select(".domain").remove())
.call(g => g.select(".tick:last-of-type text").clone()
.attr("x", 3)
.attr("text-anchor", "start")
.attr("font-weight", "bold")
.text(data.y))
area = d3.area()
.curve(curve)
.x(d => x(d.date))
.y0(y(0))
.y1(d => y(d.value))
curve = d3.curveLinear
data = Object.assign((d3.csvParse(await FileAttachment("aapl.csv").text(), d3.autoType)).map(({date, close}) => ({date, value: close})), {y: "$ Close"})
d3 = require("d3@^5.9")
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.
