Exploring Data Visualization with Matplotlib and Seaborn in Python
This article introduces the use of two popular data visualization libraries in Python: Matplotlib and Seaborn. Matplotlib is a plotting library for creating static, animated, and interactive visualizations. At the same time, Seaborn is a data visualization library built on top of Matplotlib and provides a higher-level interface for creating attractive and informative statistical graphics.
This article covers the basics of using these libraries, including how to install and import them, how to create basic plots such as line plots, scatter plots, and bar plots, and how to customize the appearance of the plots. The article’s main objective is to guide inspiring data scientists and other professionals to visualize data using these libraries effectively.
Matplotlib and Seaborn
Matplotlib is a Python library for creating 2D plots and visualizations. It can create line plots, scatter plots, bar plots, and more. This library is often used in conjunction with Pandas to visualize data.
Seaborn is a Python data visualization library based on Matplotlib. It provides a high-level interface for creating attractive and informative statistical graphics. Seaborn is particularly well-suited for visualizing complex datasets and is often used in conjunction…
