marketing | R Documentation |
the marketing dataset contains 8
features and 40
records as 40 days that report how much we spent, how many clicks, impressions and transactions we got, whether or not a display campaign was running, as well as our revenue, click-through-rate and conversion rate. the target feature is revenue and the remaining 7 variables are predictors.
data(marketing)
the marketing
dataset, as a data frame, contains 40
rows and 8
columns (variables/features). the 8
variables are:
spend
: daily send of money on PPC (apy-per-click).
clicks
: number of clicks on for that ad.
impressions
: amount of impressions per day.
display
: whether or not a display campaign was running.
transactions
: number of transactions per day.
click.rate
: click-through-rate.
conversion.rate
: conversion rate.
revenue
: daily revenue.
A detailed description of the dataset can be found:
https://github.com/chrisBow/marketing-regression-part-one
adult
, risk
, churn
, churnTel
, bank
, advertising
, insurance
, cereal
, housePrice
, house
data(marketing)
str(marketing)
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