Python In Practice - 15 Projects to Master Python - Data Visualization - Advanced Level: Data Science

The video tutorial covers data visualization using Pandas. It begins with importing and cleansing data, followed by plotting data as bar graphs. Advanced techniques such as creating stacked and horizontal bar graphs are demonstrated. The tutorial also introduces area plots and histograms, and concludes with data analytics, comparing sales data with total and average sales. The use of Matplotlib for customization is mentioned for future lessons.

How does the text suggest handling missing values in the dataset?

What libraries are mentioned for plotting data in the text?

What are the key components to include when customizing a plot?

What does the area plot represent in the context of data visualization?