please install gapminder package. Gapminder contains life expectancy, GDP per capita, and population by country. install.packages("gapminder") library(tidyverse) library(gapminder) data(gapminder)
2. using dataset of gapminder, plot the population vs time of Germany. You should use o geom_point o geom_line which one is better?
3. Create same plots for your own country.
4. Make a histogram of for life expectancy values for year 2007. Do not forget that you need to subset your dataset
5. Create a facets of histograms life expectancy values by year
6. Create a line plot of life expectancy values for the countries. In the aesthetics, you need to set x,y and by
7. Create a line plot of life expectancy values for the countries. Set the color for the continent values In the aesthetics, you need to set x,y, by and color.
8. Create a line plot of life expectancy values for the countries. create the facets for the continent values
9. Create a R Markdown document that shows your plots
10. Deploy your R Markdown document to Rpubs
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