EDA Python - 17-Pandas_1

The video tutorial covers the use of Python libraries such as NUMpy, pandas, OS, and URLLib to handle and analyze COVID-19 data from the WHO website. It demonstrates how to create directories, download data, and save it locally using the OS and URLLib modules. The tutorial then explores loading data into pandas, examining its structure, and performing various data manipulation and analysis techniques. It emphasizes the importance of efficient data handling to avoid repeated downloads and showcases pandas' powerful data selection and analysis capabilities.

What is the purpose of using the OS module in the context of this tutorial?

What steps are taken to create a file path for saving data?

Explain how the URL Library module is utilized to retrieve data.

Describe the process of reading a CSV file into a pandas DataFrame.

How can whitespace in column names affect data analysis?

What is the significance of using the head function in pandas?

Explain how to filter a DataFrame based on specific conditions.

What are the implications of having negative values in the new deaths column?

What is the purpose of adding a new column to the DataFrame, such as percent cases?

How can you drop columns from a DataFrame, and why would you do this?