In this video, we will explore Multiple/Joint Correspondence Analysis (MCA/JCA) in Stata, a statistical technique used to explore relationships among categorical variables. MCA/JCA allows us to visualize the associations between multiple variables and identify patterns of co-occurrence. We will cover the basics of MCA/JCA, including data preparation, interpretation of results, and visualization techniques. Whether you are a beginner or an experienced data analyst, this video will provide valuable insights into using MCA/JCA in Stata. So, if you want to learn more about this powerful technique, be sure to watch this video!
Data: https://www.kaggle.com/code/jiagengchang/heart-disease-multiple-correspondence-analysis/input?select=heart.csv