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.

Table Of Content

• 1. Download the data

• 2. Data Preparation and Cleaning

• 3. Exploratory Analysis and Visualization

• 4. Ask & Answer Questions

• 4. Inferences and conclution

• 5.References and Future Work

Download the data

Download and install and import necessary packages.