library(tidyverse)
## -- Attaching packages --------------------------------------- tidyverse 1.3.1 --
## v ggplot2 3.3.5     v purrr   0.3.4
## v tibble  3.1.4     v dplyr   1.0.7
## v tidyr   1.1.3     v stringr 1.4.0
## v readr   2.0.1     v forcats 0.5.1
## -- Conflicts ------------------------------------------ tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()
str(airquality)
## 'data.frame':    153 obs. of  6 variables:
##  $ Ozone  : int  41 36 12 18 NA 28 23 19 8 NA ...
##  $ Solar.R: int  190 118 149 313 NA NA 299 99 19 194 ...
##  $ Wind   : num  7.4 8 12.6 11.5 14.3 14.9 8.6 13.8 20.1 8.6 ...
##  $ Temp   : int  67 72 74 62 56 66 65 59 61 69 ...
##  $ Month  : int  5 5 5 5 5 5 5 5 5 5 ...
##  $ Day    : int  1 2 3 4 5 6 7 8 9 10 ...
view(airquality)

Plot 1

p1 <- qplot(data = airquality,Temp, fill = Month, geom = "histogram", bins = 20) +
  ggtitle("Airquality") +
  xlab("Temperature") +
  ylab("Count")
p1

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", "Semptember")) +
  ggtitle("Airquality") +
  xlab("Temperature") +
  ylab("Count")
p2

Plot 3

p3 <- airquality %>% 
  ggplot(aes(Month, Temp, fill = Month)) +
  ggtitle("Temperatures") +
  xlab("Months") +
  ylab("Frequency") +
  geom_boxplot() +
  scale_fill_discrete(name = "Month", labels = c("May", "June", "July", "August", "Semptember"))
p3
## Warning: Continuous x aesthetic -- did you forget aes(group=...)?

Plot 4

p4 <- airquality %>%
  ggplot(aes(Month, Temp, fill = Month)) +
  ggtitle("Temperature") +
  xlab("Months") +
  ylab("Frequency") +
  geom_boxplot() +
  scale_fill_grey(name = "Month", labels = c("May", "June", "July", "August", "Semptember"))
p4
## Warning: Continuous x aesthetic -- did you forget aes(group=...)?

Plot 5

p5 <- airquality %>%
  ggplot(aes(Day, Temp)) +
  geom_point(aes(color = Month)) +
  ggtitle("Temperature throughout each Month") +
  labs(x = "Days",
      y = "Temperatures")
p5

Plot 5.5

p5.5 <- airquality %>%
  ggplot(aes(Day, Temp)) + 
  geom_point(aes(color = Month)) +
  geom_smooth(group = 1, alpha = .1, method = loess, formula = y ~ x) +
  facet_wrap(~Month, nrow = 4, scale = "free_y") +
  ggtitle("Average Temperature each Month") +
  labs(x = "Days",
      y = "Temperatures")
p5.5