Create a Series with named letter_grade that stores the list of grades in letters [A, A-, B+, B, B-, C+, C, C-, D+, D, D-, F]

2. Print out the Series. What is the index of B+, D-?

3. What is the data type of the Series?

4. type a Series named numeric_grade that stores the list of grades in letters [93, 90, 86, 82, 78, 72, 63, 57, 56, 52, 48]

5. Print out the Series. What is the index of 78, 63?

6. What is the data type of the Series?

7. Is the data type of numeric_grade different from the data type of letter_grade? Why?

8. The grade in numeric_grade is in 100 scale, convert it to a 10 scale, meaning divide by 10 and store in in a numeric_grade_2 variable

9. Print out the numerical list and the letter of rows that have grades between [6,7]

Insert new cell. Write a program to create a Dataframe having, 5 rows.

• The first column is Country = {United States, China, Japan, Germany, India} in which:
• The second column is Population = {19485394000000, 12237700479375, 4872415104315, 3693204332230, 2650725335364}
• The third column is Population_in_milliions and equals Population / 100000000
• type a new column call GPD, google GPD of this country and fill in the values
• type a new column call Area in km^2, google the area of this country and fill in the values
• type a new column call GPD_per_capita and fill in the values by dividing the GPD to population.
• type a new column call density in number of people per km^2 and fill in the values by dividing the population to area.