This an exploratory analysis for Star Bucks Dataset, the goal is to find out the most nutritious item on the menu for the stakeholders
The dataset had its own complexities and hidden clues and it was fun to fact check information from starbucks itself. ☕
As a fitness enthusiast who has some experience of training & nutrition under my belt, I thought of converging my findings on the basis of macro & micro nutrients.
Ex. 1g of Fat = 9 calories
1g of Carbs = 4 calories
The main spotlight of the findings are Caffeine, Lactose Tolerance & Fat content of the beverages with recommended targets for the same for better granularity of the beverages.
Tool used: Microsoft power BI Desktop
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