|  | import { useRef, useEffect } from 'react' | 
					
						
						|  | import * as Plot from '@observablehq/plot' | 
					
						
						|  |  | 
					
						
						|  | const CostPlot = ({ data, width = 750, height = 500 }) => { | 
					
						
						|  | const containerRef = useRef() | 
					
						
						|  | useEffect(() => { | 
					
						
						|  | const models = [...data.model_table] | 
					
						
						|  | .filter(d => d.average !== null && d.cost > 0) | 
					
						
						|  | .sort((a, b) => a.cost - b.cost) | 
					
						
						|  | .reduce((acc, curr) => { | 
					
						
						|  | const last = acc[acc.length - 1]?.maxAverage || 0 | 
					
						
						|  | acc.push({ | 
					
						
						|  | ...curr, | 
					
						
						|  | maxAverage: Math.max(last, curr.average), | 
					
						
						|  | newRecord: curr.average > last | 
					
						
						|  | }) | 
					
						
						|  | return acc | 
					
						
						|  | }, []) | 
					
						
						|  | let USDollar = new Intl.NumberFormat('en-US', { | 
					
						
						|  | style: 'currency', | 
					
						
						|  | currency: 'USD' | 
					
						
						|  | }) | 
					
						
						|  | const plot = Plot.plot({ | 
					
						
						|  | width: width, | 
					
						
						|  | height: height, | 
					
						
						|  | subtitle: 'Cost vs Performance', | 
					
						
						|  | x: { | 
					
						
						|  | label: 'Cost (USD)', | 
					
						
						|  | type: 'log', | 
					
						
						|  |  | 
					
						
						|  | tickFormat: d => USDollar.format(d) | 
					
						
						|  | }, | 
					
						
						|  | y: { | 
					
						
						|  | label: 'Language Proficiency Score' | 
					
						
						|  | }, | 
					
						
						|  | symbol: { | 
					
						
						|  | legend: true | 
					
						
						|  | }, | 
					
						
						|  | marks: [ | 
					
						
						|  | Plot.dot(models, { | 
					
						
						|  | x: d => d.cost, | 
					
						
						|  | y: d => d.average, | 
					
						
						|  | symbol: 'provider_name', | 
					
						
						|  | stroke: 'provider_name', | 
					
						
						|  | title: d => | 
					
						
						|  | `${d.provider_name} - ${d.name} (${ | 
					
						
						|  | d.size?.toLocaleString('en-US', { notation: 'compact' }) || '?B' | 
					
						
						|  | })\nCost: ${USDollar.format(d.cost)}\nScore: ${d.average.toFixed( | 
					
						
						|  | 2 | 
					
						
						|  | )}`, | 
					
						
						|  | tip: true | 
					
						
						|  | }), | 
					
						
						|  | Plot.line( | 
					
						
						|  | [ | 
					
						
						|  | ...models.filter(d => d.newRecord), | 
					
						
						|  | { | 
					
						
						|  | cost: models.map(d => d.cost).reduce((a, b) => Math.max(a, b), 0), | 
					
						
						|  | maxAverage: models[models.length - 1]?.maxAverage || 0 | 
					
						
						|  | } | 
					
						
						|  | ], | 
					
						
						|  | { | 
					
						
						|  | x: d => d.cost, | 
					
						
						|  | y: d => d?.maxAverage || 0, | 
					
						
						|  | curve: 'catmull-rom', | 
					
						
						|  | strokeOpacity: 0.3 | 
					
						
						|  | } | 
					
						
						|  | ) | 
					
						
						|  | ] | 
					
						
						|  | }) | 
					
						
						|  | containerRef.current.append(plot) | 
					
						
						|  | return () => plot.remove() | 
					
						
						|  | }, [data, width, height]) | 
					
						
						|  |  | 
					
						
						|  | return ( | 
					
						
						|  | <div | 
					
						
						|  | ref={containerRef} | 
					
						
						|  | style={{ | 
					
						
						|  | width: '100%', | 
					
						
						|  | height: '100%', | 
					
						
						|  | display: 'flex', | 
					
						
						|  | alignItems: 'center', | 
					
						
						|  | justifyContent: 'center' | 
					
						
						|  | }} | 
					
						
						|  | /> | 
					
						
						|  | ) | 
					
						
						|  | } | 
					
						
						|  |  | 
					
						
						|  | export default CostPlot | 
					
						
						|  |  |