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summary(cars)
## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00
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library(tidyverse) library(lubridate) library(tidyquant)
library(writexl)
your_file_path <- “/cloud/project/bikes.xlsx”
bikes_data <- read_excel(your_file_path)
bikes_sorted <- bikes_data %>% select(model, price) %>% arrange(desc(price))
print(bikes_sorted)
mean_price <- mean(bikes_data$price) bikes_filtered <- bikes_data %>% select(model, price) %>% filter(price > mean_price)
print(bikes_filtered)