Airquality Assignment

library(tidyverse)

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library(ggplot2)

data("airquality")

airquality$Month[airquality$Month == 5]<- "May"
airquality$Month[airquality$Month == 6]<- "June"
airquality$Month[airquality$Month == 7]<- "July"
airquality$Month[airquality$Month == 8]<- "August"
airquality$Month[airquality$Month == 9]<- "September"

airquality$Month<-factor(airquality$Month, levels=c("May", "June","July", "August", "September"))

Plot 1

p1 <- airquality |>
  ggplot(aes(x=Temp, fill=Month)) +
  geom_histogram(position="identity")+
  scale_fill_discrete(name = "Month", 
                      labels = c("May", "June","July", "August", "September")) +
  labs(x = "Monthly Temperatures from May - Sept", 
       y = "Frequency of Temps",
       title = "Histogram of Monthly Temperatures from May - Sept, 1973",
       caption = "New York State Department of Conservation and the National Weather Service")  #provide the data source
p1

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

Plot 2

p2 <- airquality |>
  ggplot(aes(x=Temp, fill=Month)) +
  geom_histogram(position="identity", alpha=0.5, binwidth = 5, color = "white")+
  scale_fill_discrete(name = "Month", labels = c("May", "June","July", "August", "September")) +
  labs(x = "Monthly Temperatures from May - Sept", 
       y = "Frequency of Temps",
       title = "Histogram of Monthly Temperatures from May - Sept, 1973",
       caption = "New York State Department of Conservation and the National Weather Service")
p2

Plot 3

p3 <- airquality |>
  ggplot(aes(Month, Temp, fill = Month)) + 
  labs(x = "Months from May through September", y = "Temperatures", 
       title = "Side-by-Side Boxplot of Monthly Temperatures",
       caption = "New York State Department of Conservation and the National Weather Service") +
  geom_boxplot() +
  scale_fill_discrete(name = "Month", labels = c("May", "June","July", "August", "September"))
p3 

Plot 4

p4 <- airquality |>
  ggplot(aes(Month, Temp, fill = Month)) + 
  labs(x = "Monthly Temperatures", y = "Temperatures", 
       title = "Side-by-Side Boxplot of Monthly Temperatures",
       caption = "New York State Department of Conservation and the National Weather Service") +
  geom_boxplot()+
  scale_fill_grey(name = "Month", labels = c("May", "June","July", "August", "September"))
p4

Plot 5

p5 <- airquality |>
  ggplot(aes(Month, y = Wind, fill = Month)) + 
  labs(x = "Months from May to September", y = "Wind Speeds in mph",
       title = "Side-by-Side Boxplot of Monthly Wind Speeds",
       caption = "New York State Department of Conservation and the National Weather Service") + 
  geom_boxplot() + 
  scale_fill_discrete (name  = "Month", labels = c("May", "June", "July", "August", "September"))
p5

Essay: I have created a side-by-side boxplot of monthly wind speeds from May to September. The data shows that May has the highest wind speeds based on the boxplot distrubtion, and June has both a lower-end outlier and a higher-end outlier. The windspeeds in May and June seem to be normally distributed, while July and August’s windspeeds are skewed left and September’s data is skewed right. I used the same code as the one used for Plot 4 except I set the y-value to Wind instead of Month.