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The objective of this project is to analyze and visualize the nutritional content of various Starbucks beverages using Power BI. The goal is to provide insightful and visually appealing representations of key nutritional metrics, enabling better understanding and healthier choices for consumers. This project is part of the Onyx
The dataset contains detailed nutritional information for a wide range of Starbucks beverages. It includes various metrics such as calories, caffeine content, carbohydrates, total fat, protein, vitamins, and other nutritional values.
The data is categorized by beverage types and sizes, offering a comprehensive overview of the nutritional content of Starbucks drinks.
The dashboard provides a thorough analysis of Starbucks beverages across several nutritional parameters. It is designed to be interactive and user-friendly, allowing users to explore and compare different beverage categories easily. Key sections of the dashboard include:
This section of the dashboard provides an average overview of the calorie content and vitamin contributions of different beverage categories.
It helps users identify which categories contribute the most to daily calorie intake and essential vitamins. For instance, the data shows that smoothies and frappuccinos tend to have higher calorie content compared to brewed coffee or tea.
The dashboard also breaks down calorie content by preparation type. This helps users understand how different preparation methods impact the overall calorie intake.
For example, beverages prepared with whole milk tend to have higher calories than those made with nonfat milk or soymilk. This insight is crucial for users looking to manage their calorie intake through beverage choices.
This section highlights the best beverages for specific nutritional needs:
A detailed table provides a comprehensive breakdown of nutritional values for each beverage, including calories, caffeine, carbohydrates, fats, sugars, and more.
This allows users to compare different drinks based on specific nutritional metrics. For example, users can see that while classic espresso drinks are lower in calories, they may have higher caffeine content compared to other beverages.
This section emphasizes the importance of avoiding trans fats, which are linked to adverse health effects. The dashboard identifies drinks with high trans fat content, enabling users to make healthier choices.
For instance, certain frappuccino and mocha drinks may have higher trans fat content, which should be consumed in moderation.
The Starbucks Dashboard provides an in-depth analysis of the nutritional content of various Starbucks beverages. It empowers users to make informed choices by presenting complex nutritional data in a visually appealing and easily understandable format.
This project not only highlights the nutritional aspects of popular beverages but also promotes healthier consumption habits through insightful visualizations.
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Location: India
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