Load the R package we will use.

library(tidyverse)

Quiz Questions

Replace all the ???s. These are answers on your moodle quiz.
Run all 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, downloaded (to your examples folder) and worked through the exercises

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 60

ggplot(faithful) +
  geom_point(aes(x=eruptions, y=waiting,
          colour = waiting > 60))

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 darkorange to all the points

ggplot(faithful) +
  geom_point(aes(x=eruptions, y=waiting),
      colour="darkorange")

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

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 to 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

Use stat_summary() to add a dot at the median of each group
colour the dot blueviolet
make the shape of the dot *cross**
make the dot size *9**

ggplot(mpg) +
  geom_jitter(aes(x = class, y = hwy), width = 0.2) +
  stat_summary(aes(x = class, y=hwy), geom = "point",
  fun = "median", color = "blueviolet",
  shape = "cross", size = 9)

ggsave(filename = "preview.png", path = here::here("_posts", "2022-03-14-exploratory-analysis"))

Exploratory Analysis