library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.4 ✔ readr 2.1.5
## ✔ forcats 1.0.1 ✔ stringr 1.5.2
## ✔ ggplot2 4.0.0 ✔ tibble 3.3.0
## ✔ lubridate 1.9.4 ✔ tidyr 1.3.1
## ✔ purrr 1.1.0
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(readxl)
library(writexl)
# 2. Data import
# ./, ../,
bikes_tbl <- read_excel("C:/Users/dell/OneDrive/Documents/bikes.xlsx") # fast key: alt+-
bikeshops_tbl <- read_excel("C:/Users/dell/OneDrive/Documents/bikeshops.xlsx")
orderlines_tbl <- read_excel("C:/Users/dell/OneDrive/Documents/orderlines.xlsx")
## New names:
## • `` -> `...1`
# Examine data:
bikes_tbl
## # A tibble: 97 × 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
## 7 7 Supersix Evo Ultegra 3 Road - Elite Road - Carbon 3200
## 8 8 Supersix Evo Ultegra 4 Road - Elite Road - Carbon 2660
## 9 9 Supersix Evo 105 Road - Elite Road - Carbon 2240
## 10 10 Supersix Evo Tiagra Road - Elite Road - Carbon 1840
## # ℹ 87 more rows
head(bikes_tbl)
## # 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
# Import csv file:
bike_orderlines_tbl <- read_csv("C:/Users/dell/OneDrive/Documents/bike_orderlines.csv")
## Rows: 15644 Columns: 13
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (7): model, category_1, category_2, frame_material, bikeshop_name, city...
## dbl (5): order_id, order_line, quantity, price, total_price
## dttm (1): order_date
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
# Joining data:
orderlines_bikes_tbl <- left_join(orderlines_tbl, bikes_tbl, by = c("product.id" = "bike.id"))
bike_orderlines_bikeshops_joined <- left_join(orderlines_bikes_tbl, bikeshops_tbl,
by = c('customer.id' = 'bikeshop.id'))
# %>% is called pipe: fast key: ctl + shift + m
bike_orderlines_bikeshops_joined <- left_join(orderlines_tbl, bikes_tbl, by = c("product.id" = "bike.id")) %>%
left_join(bikeshops_tbl, by = c("customer.id" = "bikeshop.id"))
# Wrangling data: decompose description into three columns: category.1, category.2 and frame.material
bike_orderlines_wrangled_tbl <- bike_orderlines_bikeshops_joined %>%
separate(description,
into = c('category.1', 'category.2', 'frame.material'),
sep = ' - ') %>%
separate(location,
into = c('city', 'state'),
sep = ', ',
remove = FALSE)
# Show model and price in descending order
bikes_desc <- bike_orderlines_bikeshops_joined %>%
select(model, price) %>%
arrange(desc(price))
# Show model and price where price is greater than mean price
mean_price <- mean(bike_orderlines_bikeshops_joined$price, na.rm = TRUE)
bikes_greater_than_mean <- bike_orderlines_bikeshops_joined %>%
select(model, price) %>%
filter(price > mean_price)
View(bikes_desc <- bike_orderlines_bikeshops_joined %>%
select(model, price) %>%
arrange(desc(price))
)
View(bikes_greater_than_mean <- bike_orderlines_bikeshops_joined %>%
select(model, price) %>%
filter(price > mean_price))