The end-to-end solution for building and hosting better data apps, dashboards, and reports.
Calendar componentTemplates: Table of InstructionsExample cohort analysis in SQLUser Retention: Cohort Grid ComponentMultidrag AxisCash FlowTable ValidatorSurvey Visualization SuggestionsSurvey Free Response ComponentSurvey Question SelectorSurvey Matrix CompareSurvey Pie ChartSurvey HistogramSurvey DataSurvey Component LibraryGitHub API Helpers
Draggable Cash Flow Curve
start = 6000
flow.diff
mutable path = []
x = d3.scaleTime()
.domain(timeDomain)
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain([0, 5 * start])
.range([height - margin.bottom, margin.top])
scaleTimeToValue = d3.scaleLinear()
.domain(path.map(({x: x0}) => new Date(+x.invert(x0))))
.range(path.map(({y: y0}) => y.invert(y0)))
// .clamp(true)
flow = new CashFlow(scaleTimeToValue, {domain: timeDomain})
timeDomain = [d3.timeYear.offset(new Date(), -1), new Date()].map(date => d3.timeMonth.floor(date))
style = `
svg[tabindex] {
display: block;
border: solid 2px transparent;
box-sizing: border-box;
}
svg[tabindex]:focus {
outline: none;
border: solid 2px lightblue;
}
`
mutable points = d3.range(0, 4).map(i => [
x(d3.interpolate(...timeDomain)(i / 3)),
y(start * Math.exp(0.4 * i))
])
line = d3.line().curve(d3.curveMonotoneX)
height = 300
width = 640
margin = ({left: 40, top: 20, right: 20, bottom: 30})
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).ticks(width / 80).tickSizeOuter(0).tickFormat(dateFormat))
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).ticks(4).tickFormat(d => d3.format("$")(d / 1000)))
.call(g => g.select(".domain").remove())
.call(g => g.append("text")
.attr("x", -margin.left)
.attr("y", 10)
.attr("fill", "currentColor")
.attr("text-anchor", "start")
.text("Flow / mo."))
import {CashFlow, dateFormat} from "@observablehq/cash-flow"
import {copy} from "@mbostock/pbcopy"
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.
