Instructions

In this exercise you will explore gapminder dataset from library $($gapminder$)$ to help people understand some basic global facts. Your work is to provide answers to questions by exploring the gapminder dataset. Specific instructions$/$steps are listed in the 'Tasks' section. Follow the steps below to get started.

Use library $($tidyverse$)$; library $($gapminder$)$ to load the necessary packages. Check the dataset information using $?$gapminder.

Use filter$()$ to remove data of country "Kuwait" from the gapminder dataset for reasons noted in the background.

Now you can play with the data to find the answers of the questions.

Questions

Q$1.$ What are the top three countries with the highest life expectancy at birth in $1957$ and $2007?$

Q$2.$ How many countries had life expectancy at birth smaller than $50$ in $1957$ and $2007?$

Q$3.$ What are total population in $1957$ and $2007$ in Asia?

Q$4.$ How many countries had population higher than $30,000,000$ in $1957$ and $2007?$

Q$5.$ What are the top five countries with the highest total GDP $($pop$*$ gdpPercap$)$ in $1957$ and $2007?$

Q$6.$ What are the mean values of lifeExp and gdpPercap in $1957$ and $2007$ for Africa?

Tasks

Explore the gapminder dataset to answer the questions.

Draw graphs: Scatterplots of lifeExp, pop and gdpPercap of United States over the years from $1952$ to $2007.$

Check?plot $()$ to see how to plot a scatterplot using plot $().$ You may use the template below.

plot$($x$,$ y$,$ main$=$"plot title", xlab$=$"title for the x axis", ylab$=$"title for the y axis"$)$

# $x$ is the data on $x$ axis, $y$ is the data on $y$ axis

Based on your three graphs, briefly explain the changes in the United States.