- Load the R package we will use.
- Quiz questions
- Replace all the ???s. These are answers on your moodle quiz.
- Run all the individual code chunks to make sure the answers in this file correspond with your quiz answers
- After you check all your code chunks run then you can knit it. It won’t knit until the ??? are replaced
- The quiz assumes you have watched the videos had worked through the exercises in exercises_slides-1-49.Rmd
- Pick one of your plots to save as your preview plot. Use the ggsave command at the end of the chunk of the plot that you want to preview.
Question: modify slide 34
- Create a plot with the faithful dataset
- add points with geom_point
- assign the variable eruptions to the x-axis
- assign the variable waiting to the y-axis
- colour the points according to whether waiting is smaller or greater than 57
ggplot(faithful) +
geom_point(aes(x = eruptions, y = waiting,
colour = waiting > 57))
Question: modify intro-slide 35
- Create a plot with the faithful dataset
- add points with geom_point
- assign the variable eruptions to the x-axis
- assign the variable waiting to the y-axis
- assign the colour blueviolet to all the points
ggplot(faithful) +
geom_point(aes(x = eruptions, y = waiting),
colour = "blueviolet")
Question: modify intro-slide 36
- Create a plot with the faithful dataset
- use geom_histogram() to plot the distribution of waiting time
- assign the variable waiting to the x-axis
ggplot(faithful) +
geom_histogram(aes(x = waiting))
Question: modify geom-ex-1
- See how shapes and sizes of points can be specified here
- Create a plot with the faithful dataset
- add points with geom_point
- assign the variable eruptions to the x-axis
- assign the variable waiting to the y-axis
- set the shape of the points to diamond
- set the point size to 5
- set the point transparency 0.9
ggplot(faithful) +
geom_point(aes(x = eruptions, y = waiting),
shape = "diamond", size = 5, alpha = 0.9)
Question: modify geom-ex-2
- Create a plot with the faithful dataset
- use geom_histogram() to plot the distribution of the eruptions (time)
- fill in the histogram based on whether eruptions are greater than or less than 3.2 minutes
ggplot(faithful) +
geom_histogram(aes(x = eruptions, fill = eruptions > 3.2 ))
Question: modify stat-slide-40
- Create a plot with the mpg dataset
- add geom_bar() to create a bar chart of the variable manufacturer
ggplot(mpg) +
geom_bar(aes(x = manufacturer))
Question: modify stat-slide-41
- change code to count and to plot the variable manufacturer instead of class
mpg_counted <- mpg %>%
count(manufacturer, name = 'count')
ggplot(mpg_counted) +
geom_bar(aes(x = manufacturer, y = count), stat = 'identity')
Question: modify stat-slide-43
- change code to plot bar chart of each manufacturer as a percent of total
- change class to manufacturer
ggplot(mpg) +
geom_bar(aes(x = manufacturer, y = after_stat(100 * count / sum(count))))
Question: modify answer to stat-ex-2
ggplot(mpg) +
geom_jitter(aes(x = class, y = hwy), width = 0.2) +
stat_summary(aes(x = class, y = hwy), geom = "point",
fun = "median", color = "purple3",
shape = "square", size = 8 )
ggsave(filename = “preview.png”, path = here::here("_posts“,”2021-03-30-exploratory-analysis"))