R programming: Outliers in ggplot boxplot

r boxplot find outliers full code.r

#run the GA library
library(googleAnalyticsR)
#authentication token
ga_auth()

#setting up the query
gadata <- google_analytics(viewId = 1234567, 
   date_range = c(Sys.Date()-100, Sys.Date()-1),
   metrics = c("users", "sessions", "pageviews"),
   dimensions = c("date", "dayofWeek"),
   anti_sample = TRUE)

#examining the first 6 rows as a preview
head(gadata)                          

#looking at the structure of the data
str(gadata)

#creating boxplot
boxplotchart <- ggplot(gadata, 
                       aes(x=dayofWeek, 
                           y = sessions)) +
            geom_boxplot()

boxplotchart + 
  ylab("Sessions on that day") + 
  xlab("Day of Week; 0 = Sun, 6 = Sat")


boxplotchart <- ggplot(gadata,
  aes(x = as.factor(dayofWeek),
  y = sessions)) +
  geom_boxplot()

boxplotchart  

#table of boxplot data with summary stats
gadata %>%
  group_by(as.factor(dayofWeek)) %>%
  summarise(Min = min(sessions),
            Max = max(sessions),
            Median = median(sessions),
            IQRange = IQR(sessions))

install.packages("xlsx")
library("xlsx")
write.xlsx(gadata, file = "C:\\Users\\KhanAd\\Dropbox\\blog content\\2018\\052018\\20180526 Day of week boxplot with outlier.xlsx",
sheetName = "Day Of Week", append = FALSE)

R Boxplot: Find Outliers.r

gadata %>%
  group_by(as.factor(dayofWeek)) %>%
  summarise(Min = min(sessions),
            Max = max(sessions),
            Median = median(sessions),
            IQRange = IQR(sessions))