Test Images

Description

Time Series Analysis involves examining data points collected over time to identify patterns, seasonal trends, and long-term movements. By leveraging statistical methods and forecasting models, it enables accurate predictions and supports data-driven decision-making in areas such as finance, operations, and demand planning. This analysis is essential for detecting anomalies, understanding cyclical behaviors, and optimizing strategies based on historical performance.

Sample Collection Information

• Volume Required: 2g


• Nature of Sample: Fecal, Urine, Sputum, Powder, Liquid


• Packaging Instructions: Instructions:
  
  Provide sequential data with timestamps (e.g., sales records, stock prices).
  Define forecasting periods (daily, weekly, monthly).
  Specify smoothing techniques (moving averages, ARIMA, etc.)

Sample Result