Created
August 9, 2016 02:29
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| library(stringr) | |
| preprocess_products <- function(product_data) { | |
| product_names <- as.character(product_data$NombreProducto) | |
| weight <- unlist(lapply(product_names, extract_weight)) | |
| pieces <- unlist(lapply(product_names, extract_pieces)) | |
| brand <- unlist(lapply(product_names, extract_brand)) | |
| has_choco <- unlist(lapply(product_names, grepl, pattern="Choco")) | |
| has_vanilla <- unlist(lapply(product_names, grepl, pattern="Va(i)?nilla")) | |
| has_multigrain <- unlist(lapply(product_names, grepl, pattern="Multigrano")) | |
| data.frame( | |
| ID=product_data$Producto_ID, | |
| product_name=product_names, | |
| brand=brand, | |
| weight=weight, | |
| pieces=pieces, | |
| weight_per_piece=weight/pieces, | |
| has_choco=has_choco, | |
| has_vanilla=has_vanilla, | |
| has_multigrain=has_multigrain | |
| ) | |
| } | |
| extract_token <- function(value, expr) { | |
| tokens <- strsplit(value, " ") | |
| index <- grep(expr, tokens) | |
| ifelse(length(index) == 0, NA, tokens[index[1]]) | |
| } | |
| extract_weight <- function(product_name) { | |
| weight_str <- extract_token(product_name, "\\d+[Kg|g]") | |
| if (is.na(weight_str)) return(NA) | |
| groups <- str_match_all(weight_str, "(\\d+)(Kg|g)") | |
| weight <- strtoi(groups[[1]][2]) | |
| unit <- groups[[1]][3] | |
| ifelse(unit == "Kg", 1000 * weight, weight) | |
| } | |
| extract_pieces <- function(product_name) { | |
| pieces_str <- extract_token(product_name, "\\d+p\\b") | |
| if (is.na(pieces_str)) return(NA) | |
| groups <- str_match_all(pieces_str, "(\\d+)(p)") | |
| return(strtoi(groups[[1]][2])) | |
| } | |
| extract_brand <- function(product_name) { | |
| tokens <- strsplit(product_name, " ")[[1]] | |
| tokens[length(tokens) - 1] | |
| } | |
| product_data <- read.csv('../input/producto_tabla.csv') | |
| preprocessed <- preprocess_products(product_data) | |
| write.csv(preprocessed, 'preprocessed_products.csv') |
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