The "Restaurant Analysis & Menu Planning" project leverages data science to offer deep insights into various aspects of restaurant operations. By utilizing advanced statistical techniques and visualizations, this project aims to enhance strategic decision-making for restaurant owners, managers, and marketers.
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Data Analysis: Examination of restaurant attributes including name, location, cuisine options, pricing, ratings, and online ordering facilities.
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Menu Planning: Analysis of dish popularity and customer feedback through sentiment analysis to refine menu offerings.
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Predictive Modeling: Forecasting restaurant performance metrics to inform resource allocation, marketing strategies, and operational improvements.
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Data Visualization: Use of charts, graphs, and interactive plots to intuitively present complex data.
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R and RMarkdown for data processing and reporting.
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Libraries: ggplot2, plotly, dplyr for visualization and data manipulation.