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This project demonstrates a complete workflow for analyzing sales data with missing values. It includes data cleaning, feature engineering, aggregation, and visualizations using Python libraries such as Pandas, NumPy, and Matplotlib.
FastTrack Sales Forecaster leverages ARIMA models for advanced time series analysis in fast food sales. It efficiently predicts future trends from historical data, aiding in strategic planning and market analysis. This tool is essential for data-driven decision-making in the fast food industry.