EDA Python - 19-Pandas_3

The video tutorial covers data analysis using Python, focusing on loading, cleaning, and transforming data with pandas. It demonstrates how to use pivot tables for data transformation and create visualizations using both pandas and Matplotlib. The tutorial also includes specific analysis of COVID-19 data, particularly focusing on the UK and top five countries by case count. It concludes with efficient methods for loading and saving data.

Explain how to set the date reported as the index in a DataFrame.

How can you visualize the percentage change in new cases over time?

What is the method to calculate the mortality rate from cumulative deaths and cases?

What is the process to save a DataFrame to a CSV file after processing?