EX6.CLICK: CLICK data for Exercise 2 in Chapter 6

In regclass: Tools for an Introductory Class in Regression and Modeling

Description

CLICK data for Exercise 2 in Chapter 6

Usage

data("EX6.CLICK")

Format

A data frame with 13594 observations on the following 15 variables.

Click

a factor with levels No Yes

BannerPosition

a factor with levels Pos1 Pos2, location of ad

SiteID

a factor with levels S1 S2 S3 S4 S5 S6 S7 S8

SiteDomain

a factor with levels SD1 SD2 SD3 SD4 SD5 SD6 SD7 SD8

SiteCategory

a factor with levels SCat1 SCat2 SCat3 SCat4 SCat5

AppDomain

a factor with levels AD1 AD2 AD3

AppCategory

a factor with levels AC1 AC2

DeviceModel

a factor with levels D1 D10 D11 D12 D13 D14 D15 D16 D17 D18 D2 D3 D4 D5 D6 D7 D8 D9

x1

a numeric vector

x2

a factor with levels A B C D E F G H I J K L M N O P Q R

x3

a factor with levels a b c d e f

x4

a factor with levels val1 val2 val3

x5

a factor with levels type1 type2 type3 type4

x6

a factor with levels class1 class2 class3 class4

x7

a factor with levels AA BB CC DD EE

Details

Inspired from a competition to predict the click-thru rates of ads displayed on mobile devices https://www.kaggle.com/c/avazu-ctr-prediction. Does the click-thru rate vary based on where the ad placed, what kind of site and device is used to view the ad, something else? All variables are anonymized.

regclass documentation built on March 26, 2020, 8:02 p.m.