Published
Edited
Sep 23, 2019
md`# Time-Experiment `
vegalite = require('@observablehq/vega-lite')
input = ({
measurements: {
agentPredictions: [
{time: 2., measurement: {data: 0.1, dataType: "percentage"}},
{time: 3., measurement: {data: 0.3, dataType: "percentage"}},
{time: 9., measurement: {data: 0.2, dataType: "percentage"}},
],
marketPredictions: [
{time: 1., measurement: {data: 0.6, dataType: "percentage"}},
{time: 2.1, measurement: {data: 0.5, dataType: "percentage"}},
{time: 3.1, measurement: {data: 0.44, dataType: "percentage"}},
{time: 3.6, measurement: {data: 0.40, dataType: "percentage"}},
{time: 4.3, measurement: {data: 0.32, dataType: "percentage"}},
{time: 7.2, measurement: {data: 0.35, dataType: "percentage"}},
{time: 8.8, measurement: {data: 0.28, dataType: "percentage"}},
{time: 9.2, measurement: {data: 0.12, dataType: "percentage"}},
{time: 10.2, measurement: {data: 0.1, dataType: "percentage"}},
],
resolution: {time: 10.5, measurement: {data: 0.0, dataType: "percentage"}}
},
startingTime: 0,
})
overTime = new predictionAnalysis.PredictionResolutionOverTime(input.measurements);
pointScoreDistribution = overTime.pointScoreDistribution("MarketScore",3)
md`# Average Score Over All Time: ${Number((overTime.averagePointScore("MarketScore",input.startingTime).data).toFixed(3))}`
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.
