Juniper Books · Analysis workspace
Holiday email analysis
Visualizations
Weekly revenue chart
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weeklyPlacedOrder: [start: string (YYYY-MM-DD), dollars: string][] and gaWeeklyDollars: string[] (store-analytics revenue by week, ratios only) calendarForecast { definition: string, goalDollars: number, actualMayThroughOctober2026Cents: number, probabilities: { hits: number, draws: number, probability: number, totalCents: { p5: number, p25: number, p50: number, p75: number, p95: number, mean: number } }, coefficients: { id: string, label: string, block: string, priorMeanLog: number, priorMeanFactor: number, priorSd: number, posteriorMeanLog: number, posteriorMeanFactor: number, posteriorSd: number }[], weeks: { start: string, end: string, days: number, regime: string, text: string, scenarioCents: number, posterior: { p5: number, p25: number, p50: number, p75: number, p95: number, mean: number } }[] }Posterior month totals
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calendarForecast { definition: string, goalDollars: number, actualMayThroughOctober2026Cents: number, probabilities: { hits: number, draws: number, probability: number, totalCents: { p5: number, p25: number, p50: number, p75: number, p95: number, mean: number } }, coefficients: { id: string, label: string, block: string, priorMeanLog: number, priorMeanFactor: number, priorSd: number, posteriorMeanLog: number, posteriorMeanFactor: number, posteriorSd: number }[], weeks: { start: string, end: string, days: number, regime: string, text: string, scenarioCents: number, posterior: { p5: number, p25: number, p50: number, p75: number, p95: number, mean: number } }[] }Calendar coefficient table
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calendarForecast { definition: string, goalDollars: number, actualMayThroughOctober2026Cents: number, probabilities: { hits: number, draws: number, probability: number, totalCents: { p5: number, p25: number, p50: number, p75: number, p95: number, mean: number } }, coefficients: { id: string, label: string, block: string, priorMeanLog: number, priorMeanFactor: number, priorSd: number, posteriorMeanLog: number, posteriorMeanFactor: number, posteriorSd: number }[], weeks: { start: string, end: string, days: number, regime: string, text: string, scenarioCents: number, posterior: { p5: number, p25: number, p50: number, p75: number, p95: number, mean: number } }[] }Week multiple table
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weeklyPlacedOrder: [start: string (YYYY-MM-DD), dollars: string][] and gaWeeklyDollars: string[] (store-analytics revenue by week, ratios only)
Total store revenue by month
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placedOrderDailyCents: number[] (integer cents, one calendar day, no gaps) plus placedOrderStart: string (YYYY-MM-DD) and placedOrderEnd: string (YYYY-MM-DD)