## Loads furniture dataset
furniture_types <-
t(data.frame("chair" = 0,
"bench" = 1,
"couch" = 2,
"armchair" = 3,
"dresser" = 4,
"longTable" = 5,
"painting" = 6,
"lamp" = 7,
"decor" = 8,
"other" = 9,
"bookcase" = 10,
"table" = 11,
"rug" = 12,
"window" = 13,
"fireplace" = 14,
"bed" = 15,
"torch" = 16,
"sconce" = 17)) %>%
as.data.frame() %>%
tibble::rownames_to_column()
colnames(furniture_types) <- c("type", "type_id")
furniture_dims <-
data.frame(type_id = seq(0, 17),
default_rectangle_width =
c(1, 2, 3, 2, 2, 5, 2, 1, 1, 1, 2, 2, 3, 1, 2, 1, 1, 1),
default_rectangle_height =
c(2, 2, 2, 2, 2, 3, 2, 3, 2, 2, 3, 3, 2, 2, 5, 1, 2, 2),
default_bounding_box_width =
c(1, 2, 3, 2, 2, 5, 2, 1, 1, 1, 2, 2, 3, 1, 2, 1, 1, 1),
default_bounding_box_height =
c(1, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 2, 2, 2, 1, 1, 1, 2)) %>%
dplyr::left_join(furniture_types, by = "type_id")
furniture <-
readr::read_csv(file = "data-raw/files/Furniture.csv") %>%
make_cols_snake_case() %>%
dplyr::left_join(furniture_dims, by = "type") %>%
dplyr::mutate(source_rectangle_width =
ifelse(test = is.na(source_rectangle_width) ||
source_rectangle_width == -1,
yes = default_rectangle_width,
no = source_rectangle_width),
source_rectangle_height =
ifelse(test = is.na(source_rectangle_height) ||
source_rectangle_height == -1,
yes = default_rectangle_height,
no = source_rectangle_height),
bounding_box_width =
ifelse(test = is.na(bounding_box_width) ||
bounding_box_width == -1,
yes = default_bounding_box_width,
no = bounding_box_width),
bounding_box_height =
ifelse(test = is.na(bounding_box_height) ||
bounding_box_height == -1,
yes = default_bounding_box_height,
no = bounding_box_height)) %>%
dplyr::rename(purchase_price = price)
usethis::use_data(furniture, overwrite = TRUE)
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