# 1. Load up libraries ----
install.packages("readxl")
library(readxl)
install.packages("tidyverse")
library(tidyverse)
install.packages("dplyr")
library(dplyr)
install.packages("scales")
library(scales)
if (!require("pacman")) install.packages("pacman")
# 2. Import data ----
readxl::read_excel("bike_orderlines.xlsx")
path1 = "./bikes_orderlines.xlsx"
# 3. Summarize ----
library(dplyr)
library(scales)
bike_orderlines_tbl %>%
mutate(quantity = as.numeric(quantity),
price = as.numeric(price)) %>%
group_by(category_1, category_2, frame_material) %>%
summarize(Sales = dollar(sum(quantity * price))) %>%
rename(`Prime category` = category_1,
`Secondary category` = category_2,
`Frame Material` = frame_material) %>%
arrange(desc(Sales)) %>%
view()