Nutrition Data Analysis
What's on your plate?
"An EDA of Nutrients in Different Food Categories"
The project aims to analyze the nutrient values of food items in different categories. The dataset used is downloaded from Kaggle, and various Python libraries such as Pandas, Matplotlib, and Seaborn are used for data analysis and visualization. The project provides insights into the distribution of various nutrients such as protein, carbohydrates, fiber, etc., in different food categories.
Download and install and import necessary packages.