This dataset has been parsed and loaded as a CSV file.
It contains Nutritional values, including Calories and Micro-nutrients from six of the largest and most popular fast food restaurants: McDonald's, Burger King, Wendy's, Kentucky Fried Chicken (KFC), Taco Bell and Pizza Hut
https://www.kaggle.com/datasets/joebeachcapital/fast-food/data
I want to see the correlation between "Protein\n(g)" and "Calories" values for all fast food items ("Item").
I want to identify fast food companies with food items containing the highest and lowest levels of sodium, saturated, cholesterol by considering the following attributes: "Company", "Item", "Saturated Fat\n(g)", "Cholesterol\n(mg)" and "Sodium \n(mg)".
I want to see the correlation between "Saturated Fat\n(g)" and "Trans Fat\n(g)".
I want to be able to see the distribution of fiber values for individual fast food items by analyzing the "Fiber\n(g)" data for each "Item".
I want to discover outliers or extremes with regard to "Sodium \n(mg)" and "Item".