Python-Seaborn

Introduction to Seaborn: Basics of Seaborn, dataset handling, and simple plots.

Intermediate Level: Customizing plots, working with color palettes, multi-plot grids, and statistical visualizations.

Advanced Techniques: Complex data visualizations, customizing themes, handling large datasets, interactive visualizations, and integrating Seaborn with other libraries.

Pro Tips: Performance optimization, advanced aesthetics, tips for effective storytelling through data visualization, and Seaborn best practices.

Name		Name	Last commit message	Last commit date
.ipynb_checkpoints		.ipynb_checkpoints
Bar Plot.ipynb		Bar Plot.ipynb
Box Plot and related info.png		Box Plot and related info.png
Box Plot.ipynb		Box Plot.ipynb
Cat Plot.ipynb		Cat Plot.ipynb
Count Plot.ipynb		Count Plot.ipynb
DIS Plot.ipynb		DIS Plot.ipynb
Distribution categories.png		Distribution categories.png
ECDF Plot.ipynb		ECDF Plot.ipynb
ECDF.png		ECDF.png
Empirical Cumulative Distribution Functions(ECDF).png		Empirical Cumulative Distribution Functions(ECDF).png
Heat Map Plot.ipynb		Heat Map Plot.ipynb
Hist or Histogram Plot.ipynb		Hist or Histogram Plot.ipynb
Joint Plot.ipynb		Joint Plot.ipynb
Kernel Density Estimation Plot(KDE Plot).ipynb		Kernel Density Estimation Plot(KDE Plot).ipynb
Line Plot.ipynb		Line Plot.ipynb
Pair Plot.ipynb		Pair Plot.ipynb
README.md		README.md
Regression Plot or Reg Plot.ipynb		Regression Plot or Reg Plot.ipynb
Regression Plot.png		Regression Plot.png
Relational Plot.png		Relational Plot.png
Relational or Rel plot.ipynb		Relational or Rel plot.ipynb
Rug Plot.ipynb		Rug Plot.ipynb
Scatter Plot.ipynb		Scatter Plot.ipynb
Seaborn Categories.png		Seaborn Categories.png
Strip Plot.ipynb		Strip Plot.ipynb
Strip Plot.png		Strip Plot.png
Swarm Plot.ipynb		Swarm Plot.ipynb
Swarm Plot.png		Swarm Plot.png
Violin Plot.ipynb		Violin Plot.ipynb
Violin Plot.png		Violin Plot.png
mart_linePlot.xlsx		mart_linePlot.xlsx
mart_train_sample.xlsx		mart_train_sample.xlsx
supermarket_sales.xlsx		supermarket_sales.xlsx

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