| tiny_m5 {m5} | R Documentation |
A subset from M5 Walmart Challenge Dataset in one data frame
Description
A piece of data cut from the training dataset used in the M5 challenges on Kaggle. M5 is a challenge from a series organized by Spyros Makridakis.
Usage
tiny_m5
Format
- item_id
The id of the product
- dept_id
The id of the department the product belongs to
- cat_id
The id of the category the product belongs to
- store_id
The id of the store where the product is sold
- state_id
The State where the store is located
- value
The number of sold units
- date
The date in a “y-m-d” format
- wm_yr_wk
The id of the week the date belongs to
- weekday
The type of the day (Saturday, Sunday, …, Friday)
- wday
The id of the weekday, starting from Saturday
- month
The month of the date
- year
The year of the date
- event_name_1
If the date includes an event, the name of this event
- event_type_1
If the date includes an event, the type of this event
- event_name_2
If the date includes a second event, the name of this event
- event_type_2
If the date includes a second event, the type of this event
- snap
A binary variable (0 or 1) indicating whether the stores of CA, TX or WI allow SNAP1 purchases on the examined date. 1 indicates that SNAP purchases are allowed
- sell_price
The price of the product for the given week/store. The price is provided per week (average across seven days). If not available, this means that the product was not sold during the examined week. Note that although prices are constant at weekly basis, they may change through time (both training and test set)
See Also
The M5 competition: Background, organization, and implementation
Other Walmart datasets in timetk
Examples
library(m5)
# Head of tiny_m5
head(tiny_m5)