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To facilitate data exploration and comparison, the project incorporates bar charts that can be dynamically categorized based on a filter selection. This feature empowers users to choose the category to uncover insights and answer specific questions by easily visualizing and comparing sales. This flexibility allows for a comprehensive understanding of the factors influencing sales performance.
The project includes a heatmap visualization, which offers a unique perspective on the relationship between time and day in relation to sales. This representation enables users to discern patterns and identify peak sales hours and days, assisting in staff scheduling and inventory management.
In addition, the project features a prominent central chart showcasing the top-selling pizza according to the data granularity. This chart highlights the pizza that generates the highest sales, providing stakeholders with a quick overview of the most popular item. This information can be leveraged to tailor promotions, optimize supply chain management, and capitalize on customer preferences.