Write a snippet that connects to worldometers covid dashboard, downloads the latest data; and stores all the data in a DataFrame called covid_df  from covid_df drop all the covid test related columns. This is because a lot of countries do not provide accurate covid test related information.  drop the column of population as well.  Store the remaining data in covid_df_clean.  Sort covid_df_clean based on increasing number of confirmed and store the sorted DataFrame as sorted_covid_df_clean  write a code that determines the region of the world with highest number of deaths.  Create a new column called survival_ratio that is the ratio of recovered over confirmed  Calculate average of survival_ratio and display it Using f-string. This must be displayed as a percentage (you can display it as a percentage using f-string ). At the time of writing this assignment this number was 79.225254% . As Covid data changes every minute, your number might be slightly different than this one.  Sample only 7 rows from this DataFrame and display it. Question 7  Use profile() method of faker library to create profile of a random person. This will be a dictionary.  Create a Series from this dictionary.  Print this Series Then print Social Security Number (ssn) from this Series . Make sure to use proper f-string. The ideal output of this section would be something like: Social Security Number of a Random Person with the first name of {} and last name of {} and birthday of {} is {} . Please use Python code to answer the following questions