verticals: verticals dataset

In Polkas/catTOcat: Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset

verticals dataset

Description

verticals dataset

Usage

verticals

Format

A data frame with 21 observations and 4 variables.

vertical

character an certain sales vertical

sales

numeric a size of sale

counts

integer counts size

v_date

character Date

Details

random data - aggregate sales across e-commerce verticals

Examples

set.seed(1234)
agg_old <- data.frame(
  vertical = c(
    "Electronics", "Kids1", "Kids2", "Automotive", "Books",
    "Clothes", "Home", "Fashion", "Health", "Sport"
  ),
  sales = rnorm(10, 100, 10),
  counts = rgeom(10, 0.0001),
  v_date = rep("2020-04-01", 10), stringsAsFactors = FALSE
)

agg_new <- data.frame(
  vertical = c(
    "Electronics", "Supermarket", "Kids", "Automotive1",
    "Automotive2", "Books", "Clothes", "Home", "Fashion", "Health", "Sport"
  ),
  sales = rnorm(11, 100, 10),
  counts = rgeom(11, 0.0001),
  v_date = rep("2020-05-01", 11), stringsAsFactors = FALSE
)
verticals <- rbind(agg_old, agg_new)

Polkas/catTOcat documentation built on Jan. 26, 2024, 7:10 a.m.