hw01

library(tidyverse)

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## ✔ lubridate 1.9.3     ✔ tidyr     1.3.1
## ✔ purrr     1.0.2     
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## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

library(lubridate)
library(tidyquant)

## Registered S3 method overwritten by 'quantmod':
##   method            from
##   as.zoo.data.frame zoo 
## ── Attaching core tidyquant packages ──────────────────────── tidyquant 1.0.9 ──
## ✔ PerformanceAnalytics 2.0.4      ✔ TTR                  0.24.4
## ✔ quantmod             0.4.26     ✔ xts                  0.14.1── Conflicts ────────────────────────────────────────── tidyquant_conflicts() ──
## ✖ zoo::as.Date()                 masks base::as.Date()
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## ✖ xts::last()                    masks dplyr::last()
## ✖ PerformanceAnalytics::legend() masks graphics::legend()
## ✖ quantmod::summary()            masks base::summary()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

library(readxl)
library(writexl)
bikes <- read_excel("/cloud/project/bikes (5).xlsx")
head(bikes)

## # A tibble: 6 × 4
##   bike.id model                          description                price
##     <dbl> <chr>                          <chr>                      <dbl>
## 1       1 Supersix Evo Black Inc.        Road - Elite Road - Carbon 12790
## 2       2 Supersix Evo Hi-Mod Team       Road - Elite Road - Carbon 10660
## 3       3 Supersix Evo Hi-Mod Dura Ace 1 Road - Elite Road - Carbon  7990
## 4       4 Supersix Evo Hi-Mod Dura Ace 2 Road - Elite Road - Carbon  5330
## 5       5 Supersix Evo Hi-Mod Utegra     Road - Elite Road - Carbon  4260
## 6       6 Supersix Evo Red               Road - Elite Road - Carbon  3940

bikes %>% 
  select(model, price) %>% 
  arrange(desc(price))

## # A tibble: 97 × 2
##    model                          price
##    <chr>                          <dbl>
##  1 Supersix Evo Black Inc.        12790
##  2 Scalpel-Si Black Inc.          12790
##  3 Habit Hi-Mod Black Inc.        12250
##  4 F-Si Black Inc.                11190
##  5 Supersix Evo Hi-Mod Team       10660
##  6 Synapse Hi-Mod Disc Black Inc.  9590
##  7 Scalpel-Si Race                 9060
##  8 F-Si Hi-Mod Team                9060
##  9 Trigger Carbon 1                8200
## 10 Supersix Evo Hi-Mod Dura Ace 1  7990
## # ℹ 87 more rows

bikes %>% 
  select(model, price) %>% 
  filter(price>mean(price))

## # A tibble: 35 × 2
##    model                          price
##    <chr>                          <dbl>
##  1 Supersix Evo Black Inc.        12790
##  2 Supersix Evo Hi-Mod Team       10660
##  3 Supersix Evo Hi-Mod Dura Ace 1  7990
##  4 Supersix Evo Hi-Mod Dura Ace 2  5330
##  5 Supersix Evo Hi-Mod Utegra      4260
##  6 CAAD12 Black Inc                5860
##  7 CAAD12 Disc Dura Ace            4260
##  8 Synapse Hi-Mod Disc Black Inc.  9590
##  9 Synapse Hi-Mod Disc Red         7460
## 10 Synapse Hi-Mod Dura Ace         5860
## # ℹ 25 more rows