seaborn: statistical data visualization

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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