Python Programming using Juypter Notebooks. I am confused on how to do this problem.

Create a dataframe using a list of dictionaries. The dataframe records the information for countries. For each country record the name, capital, population, area, minimum household income and the continent (Europe, Asia, Africa, North America, South America, Australia) it belongs to. There should be at least 18 rows of data (ideally 3 countries for each continent) and explain the attributes and their units using comments. Create a new column for population density and calculate it using the data from the population and area columns (population / area). Add the newly created column to the dataframe. Find out the country with the highest population and belonging to Asia. Find out the country which has a minimum household income greater than the average minimum household income across the dataframe.