dikshikaaa / seaborn

Seaborn

Seaborn is a Python data visualization library built on top of the popular data manipulation library, Pandas, and the visualization library, Matplotlib. Seaborn provides a high-level interface for creating informative and attractive statistical graphics. It includes several visualization functions for exploring and understanding data patterns, relationships, and distributions.

Some of the main features of Seaborn are:

• Beautiful default styles: Seaborn provides several built-in themes and color palettes that make it easy to create visually appealing plots without needing to customize the colors and styles manually.

• Statistical visualizations: Seaborn includes several high-level functions for creating various statistical visualizations, such as scatterplots, line plots, bar plots, heatmaps, and more.

• Integration with Pandas: Seaborn works seamlessly with Pandas data structures, allowing for easy data manipulation and visualization.

• Flexibility and customization: Seaborn offers a range of customization options, including adjusting the aesthetics of plots, modifying axis labels and scales, and incorporating annotations and legends.

Overall, Seaborn is a powerful and versatile library that can be used to explore, analyze, and communicate data in a clear and engaging way. And this is a google colab file providing you with some basics of this library.