Task 1
- Using the dataset
mpg, create a scatterplot with
displ on the x-axis and
hwy on the y-axis.
class should not be mapped to color.
Task 2
- Using
mpg, create a scatterplot of displ vs. hwy, and facet the plot by drv.
Task 3
- Using
mtcars, create a boxplot showing mileage (mpg) by number of cylinders (cyl, treated as a factor).
Task 4
- Using
mtcars, create a scatterplot of weight (wt) vs. mileage (mpg) and add a smoothing line.
Task 5
- Using
starwars, create a bar chart showing the number of characters per species.
- Exclude missing values of
species.
Task 6
- Using
gapminder, create a scatterplot for the year 2007 with
fertility on the x-axis,
life_expectancy on the y-axis,
continent mapped to color,
population mapped to point size.
Task 7
- Using
starwars, create a scatterplot with height on the x-axis, mass on the y-axis, and map gender to color.
- Ignore observations with missing
height or mass.
Task 8
- Using
gapminder, create a line plot showing life_expectancy over year for Germany only.
Task 9
- Using
gapminder, create a line plot showing life_expectancy over year for all countries in Europe.
- Each country should be a separate line.
Task 10
- Using
gapminder, create a scatterplot using the year 2007 only with gdp on the x-axis (use a log10 scale by adding the layer scale_x_log10()), life_expectancy on the y-axis, population mapped to point size, continent mapped to color.
- Exclude rows with missing
gdp, life_expectancy, or population.