python help. Fill in the dotted blanks in question 7, do not change the code. Question 5 below is a reference table to answer to question.

It has been observed that lower fertility rates are often associated with lower child mortality rates. We can see if this association is evident in Poland by plotting the relationship between total fertility rate and child mortality rate per 1000 children. Question 7. Create a table poland_since_1950 that contains one row per year starting with 1950 and: - A column Year containing the year - A column Children per woman describing total fertility in Poland that year - A column Child deaths per 1000 born describing child mortality in Poland that year ] : pol_fertility = fertility_over_time(poland_code,1950) \# Try starting with the table you built already! . poland_since_1950 = Question 5. Complete the function fertility_over_time. It takes the Alpha-3 code of a country as country_code and a with labels and Children per woman with one row per year starting with (and including) the year and including all later years in the fertility table. Then, set to the Alpha-3 code for Poland. The provided call fertility_over_time(poland_code, 1950) returns a table that shows Poland's annual fertility rates since 1950 Hint: Read about tbl. relabeled in the Python Reference to rename columns. def fertility_over_time(country_code,_start): country_fertility=fertility.where('geo', country_code) country_fertility_after_start=country_fertility.where('time', are.above_or_equal_to(start)) table=country_fertility_after_start.drop( ).relabeled('time', 'Year').relabeled('children_per_woman_total_fertility', 'Children per_woman') return table poland_code = 'pol' fertility_over_time('pol', 1950) ... (61 rows omitted)