Seasonality Analysis

Input Data (JSON Array)

Analysis Configuration

Time Field

Value Field

Period Type

Decomposition Method

Include detailed statistics

Example Input

[
  {
    "date": "2023-01",
    "sales": 1200,
    "temperature": 25
  },
  {
    "date": "2023-02",
    "sales": 1350,
    "temperature": 28
  },
  {
    "date": "2023-03",
    "sales": 1100,
    "temperature": 23
  }
]

Decomposition Methods:

Additive: For data where seasonal variations are relatively constant
Multiplicative: For data where seasonal variations change proportionally
Higher seasonal strength indicates stronger seasonal patterns
Significant seasonality test (p < 0.05) confirms seasonal effects