A Practical Approach to Timeseries Forecasting Using Python - Visualize the Data

The video tutorial covers using matplotlib to visualize COVID-19 data, focusing on confirmed cases and deaths. It explains how to set up plots with specific attributes like figure size, DPI, and colors. The tutorial also demonstrates plotting multiple data columns in a single line plot to analyze relationships between confirmed, cured, and death cases. The video concludes with a brief mention of using area plots for further analysis in a subsequent video.

How do you set the face color and edge color in the plot?

What is the maximum number of deaths visualized in the plot?

What is the relationship between cured cases and confirmed cases based on the visualization?