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How to use Python Seaborn for Exploratory Data Analysis

Written by @Just-into-Data | Published on 2020/4/15

TL;DR
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.

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Topics and
tags
python|machine-learning|data-science|data-visualization|data-analysis|programming|seaborn|exploratory-data-analysis
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