I recently completed an exploratory data analysis project on the NHANES (National Health and Nutrition Examination Survey) dataset from Kaggle. It's a real-world health survey collected by the CDC covering body measurements, lifestyle habits, and demographic data from thousands of US adults.
In this article I'll walk you through exactly what I did — from loading and cleaning the data all the way to running statistical tests — and share what I found along the way.
The Dataset
The dataset has 5,735 rows and 28 columns, but for this project I focused on 8 columns that were relevant to the questions I wanted to answer:
Column
