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Data Science Handbook

Data Visualization

Explore key data visualization techniques using Python and seaborn to understand, analyze, and communicate data insights. This lesson covers practical examples including histograms, scatterplots, box plots, count plots, and heatmaps, empowering you to visualize relationships and distributions in data effectively.

We'll cover the following...

Now, we’ll dive into the world of data visualization. Data visualization is a fundamental skill in data science that enables us to gain insights from data and communicate our findings effectively. We’ll use seaborn, a popular Python data visualization library, to explore different visualization techniques.

Note: The initial four lessons of this chapter are dedicated to practical hands-on exercises that cover different aspects of data science for a specific problem. We are going to cover the following:

  • In this lesson, we cover the problem statement, dataset properties, and its visualization.

  • In the next lesson, we cover the basic data processing techniques.

  • The next lesson wraps the modeling and analysis of the processed ...