Public
Edited
Nov 3, 2022
1 fork
yExtent = d3.extent(baseDemandY)
yScale = [
Math.floor(yExtent[0] / 1000) * 1000,
Math.ceil(yExtent[1] / 1000) * 1000
]
baseDemand = supplyDemandX.map((d, i) => [d, baseDemandY[i]])
baseSupply = supplyDemandX.map((d, i) => [d, baseSupplyY[i]])
supplyDemandX = d3.range(20, 80)
demandSlope = -10
supplySlope = -demandSlope
baseDemandC1 = 10000
baseDemandY = supplyDemandX.map((d) => d * demandSlope + baseDemandC1)
baseIntersectY = demandSlope * 50 + baseDemandC1
baseIntersectX = 50
supplyIntercept = baseIntersectY - supplySlope * baseIntersectX
baseSupplyY = supplyDemandX.map((d) => d * supplySlope + supplyIntercept)
variableDotX = baseIntersectX + adForm.x2
variableDotY = variableDotX * supplySlope + supplyIntercept
variableDot = [variableDotX,variableDotY]
variableIntercept = variableDotY - demandSlope * variableDotX
variableDemandX = supplyDemandX.map((d) => d + adForm.x2)
variableDemandY = variableDemandX.map((d) => d * demandSlope + variableIntercept)
variableDemand = variableDemandX.map((d, i) => [d, variableDemandY[i]])
import { Plot, addTooltips } from "@mkfreeman/plot-tooltip"
import { color as colorWidget, radio as radioWidget } from "@jashkenas/inputs"
import { signature } from "3d9d1394d858ca97"
import {
rangeSlider,
rangeInput,
themes,
theme,
color,
theme_Retro1
} from "@beerdrinker/range-slider"
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.
