population_df = pd.read_csv('https://raw.githubusercontent.com/Explore-AI/Public-Data/master/AnalyseProject/world_population.csv', index_col='Country Code') Question 1: Population Growth The world population data spans from 1960 to 2017. We'd like to build a predictive model that can give us the best guess at what the population growth rate in a given year might be. We will calculate the population growth rate as follows:- ?????ℎ_????=???????_????_??????????−????????_????_??????????????????_????_?????????? As such, we can only calculate the growth rate for the year 1961 onwards. Write a function that takes the population_df and a country_code as input and computes the population growth rate for a given country starting from the year 1961. This function must return a return a 2-d numpy array that contains the year and corresponding growth rate for the country. Function Specifications: Should take a population_df and country_code string as input and return a numpy array as output. The array should only have two columns containing the year and the population growth rate, in other words, it should have a shape (?, 2) where ? is the length of the data. ### START FUNCTION def get_population_growth_rate_by_country_year(df,country_code): # your code here return ### END FUNCTION

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question 1: Population Growth

The world population data spans from 1960 to 2017. We'd like to build a predictive model that can give us the best guess at what the population growth rate in a given year might be. We will calculate the population growth rate as follows:-

?????ℎ_????=???????_????_??????????−????????_????_??????????????????_????_??????????

As such, we can only calculate the growth rate for the year 1961 onwards.

Write a function that takes the population_df and a country_code as input and computes the population growth rate for a given country starting from the year 1961. This function must return a return a 2-d numpy array that contains the year and corresponding growth rate for the country.

Function Specifications:

Should take a population_df and country_code string as input and return a numpy array as output.
The array should only have two columns containing the year and the population growth rate, in other words, it should have a shape (?, 2) where ? is the length of the data.

### START FUNCTION
def get_population_growth_rate_by_country_year(df,country_code):
# your code here
return

### END FUNCTION

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