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M5 Walmart Challenge Data
You can install the development version of m5 from GitHub with:
# install.packages("devtools")
devtools::install_github("krzjoa/m5")library(m5)
library(zeallot)
library(ggplot2)
DIR <- 'data'
# Downloading the data
m5_download(DIR)
# Loading the data
c(sales_train,
sales_test,
sell_prices,
calendar,
weights) %<-% m5_get_raw_evaluation(DIR)
# Preparing the data
m5_data <-
m5_prepare(sales_train, sales_test, calendar, sell_prices)
# Demand classification
m5_demand <- m5_demand_type(m5_data)
foods_1_demand <-
m5_demand[startsWith(as.character(m5_demand$item_id), "FOODS_1")]
plot <-
ggplot(foods_1_demand) +
geom_point(aes(log(cv2), log(adi),
item_id = item_id, col = demand_type)) +
geom_hline(yintercept = log(1.32)) +
geom_vline(xintercept = log(0.49)) +
theme_minimal()
plot
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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