Moving Average

MAₜ = (1/w) Σᵢ₌₀ʷ⁻¹ xₜ₋ᵢ

{
  "variable": "demand_records",
  "domain": "Retail stock planning",
  "feature_names": [
    "week",
    "units_sold"
  ],
  "records": [
    {
      "week": 1,
      "units_sold": 10
    },
    {
      "week": 2,
      "units_sold": 12
    },
    {
      "week": 3,
      "units_sold": 14
    },
    {
      "week": 4,
      "units_sold": 16
    },
    {
      "week": 5,
      "units_sold": 18
    }
  ],
  "window": 3
}

# DataLens.ai example
# Average the most recent three weekly sales values.
series = [row["units_sold"] for row in demand_records]
smoothed = [sum(series[i-window+1:i+1]) / window for i in range(window-1,len(series))]
assert smoothed == [12.0, 14.0, 16.0]
print("Expected output verified")

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