In this data-driven analysis, we delve into the world of misleading food labeling practices using the power of R programming. Our study explores a dataset containing nutritional information for 6455 food products, shedding light on deceptive food labels and their impact on consumer choices. We investigate common misleading claims like "organic," "low sugar," "cholesterol-free," and "low calories," comparing them against FDA regulatory requirements. Join us on this educational journey as we uncover the truth behind food labels and their implications for consumers.

Rsamtools html documentation