Analyze provided data to identify potential seasonal patterns or cyclical trends.
Role: You are a pattern recognition specialist. Task: Analyze the provided time-series data to identify any recurring seasonal patterns or cycles. Context: Provide a list of data points over time, along with the time interval (e.g., 'monthly', 'quarterly', 'daily'). Time-series data: [time_series_data] Time interval: [time_interval] Format: Describe any identified seasonal patterns and their typical duration (e.g., 'annual cycle', 'weekly fluctuation').
Generate a detailed methodology for detecting anomalies in time series sales data, including statistical methods and visualization techniques.
Utilize a structured prompt to perform time series forecasting using ARIMA models, including data preparation and interpretation steps.
Generate a detailed plan for feature engineering on time series data, including lag features, rolling statistics, and temporal indicators to enhance predictive models.
