library(stringr)
library(dplyr)
library(ggplot2)
library(plotly)
# Load data
rest_1_orders <- read.csv(file = "data-raw/indian-food-orders.csv")
# Remove drink orders
rest_1_orders <- rest_1_orders[!grepl('wine', rest_1_orders$Item.Name),]
rest_1_orders <- rest_1_orders[!grepl('Water', rest_1_orders$Item.Name),]
rest_1_orders <- rest_1_orders[!grepl('Coke', rest_1_orders$Item.Name),]
rest_1_orders <- rest_1_orders[!grepl('Lemonade', rest_1_orders$Item.Name),]
# Group by Item.Name, sum Quantity, take avg Price (price should be constant, tho)
rest_1_orders$Item.Name <- as.factor(rest_1_orders$Item.Name)
name_and_quant <- data.frame(
Item.Name = rest_1_orders$Item.Name,
Quantity = rest_1_orders$Quantity,
Product.Price = rest_1_orders$Product.Price
)
name_and_quant <- name_and_quant %>%
group_by(Item.Name) %>%
summarise(Total.Quantity = sum(Quantity),
Product.Price = mean(Product.Price))
# Add the proportion for each Item of #-item-orders / #-all-items-ordered
total_num_items = sum(name_and_quant$Total.Quantity)
name_and_quant$Prop.of.Total = name_and_quant$Total.Quantity / total_num_items
# Include variable denoting omnivore/herbivore status (i.e., whether dish has meat or not)
name_and_quant$Meat.Veg = "Veg"
name_and_quant$Item.Name <- as.character(name_and_quant$Item.Name)
name_and_quant <- name_and_quant %>% mutate(Meat.Veg =
ifelse(str_detect(Item.Name, "Fish") |
str_detect(Item.Name, "Beef") |
str_detect(Item.Name, "Chicken") |
str_detect(Item.Name, "Pork") |
str_detect(Item.Name, "Lamb") |
str_detect(Item.Name, "Goat") |
str_detect(Item.Name, "Prawn") |
str_detect(Item.Name, "Meat") |
str_detect(Item.Name, "Tandoori Mixed"),
"Meat", Meat.Veg))
usethis::use_data(name_and_quant, overwrite = TRUE)
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