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This is a tutorial of using the seaborn library in Python for Exploratory Data Analysis (EDA) EDA is another critical process in data analysis (or machine learning/statistical modeling), besides Data Cleaning in Python: the Ultimate Guide (2020) In this guide, we’ll use a scraped and cleaned YouTube dataset as an example. Within this process, we can get an overview of the insights from the dataset; we can discover trends, patterns, and relationships that are not readily apparent.