exploratory data analysis flag explore seaborn

How to use Python Seaborn for Exploratory Data Analysis
 Explore an example dataset by Histogram, Heatmap, Scatter plot, Barplot, etc

This is a tutorial of using the seaborn library in Python for Exploratory Data Analysis (EDA).

In this guide, you’ll discover (with examples):

– How to use the seaborn Python package to produce useful and beautiful visualizations, including histograms, bar plots, scatter plots, boxplots, and heatmaps.
– How to explore univariate, multivariate numerical and categorical variables with different plots.
– How to discover the relationships among multiple variables.
– Lots more.

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