Answered: The world population data spans from…

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

See similar textbooks

Related questions

Question

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 future or past population of a particular country was or might be.

First, however, we need to formulate our data such that sklearn's Ridge regression class can train on our data. To do this, we will write a function that takes as input a country name and return a 2-d numpy array that contains the year and the measured population.

Function Specifications:

Should take a str as input and return a numpy array type as output.
The array should only have two columns containing the year and the population, in other words, it should have a shape (?, 2) where ? is the length of the data.
The values within the array should be of type int.

Hint: You'll need to use both the the population and country map dataframes given above.

### START FUNCTION
def get_year_pop(country_name):
# your code here
return

Expert Solution

Step by step

Solved in 2 steps

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.

Similar questions