| marketing_campaign_tbl {correlationfunnel} | R Documentation |
Marketing Data for a Bank
Description
A dataset containing data related to bank clients, last contact of the current marketing campaign, and attributes related to a previous marketing campaign.
Usage
marketing_campaign_tbl
Format
An object of class tbl_df (inherits from tbl, data.frame) with 45211 rows and 18 columns.
Bank Client Data:
ID (chr): CUSTOMER ID
AGE (dbl): Customer's age
JOB (chr): Type of job (categorical: "admin.","unknown","unemployed","management","housemaid","entrepreneur","student", "blue-collar","self-employed","retired","technician","services")
MARITAL (chr): marital status (categorical: "married","divorced","single"; note: "divorced" means divorced or widowed)
EDUCATION (chr): categorical: "unknown","secondary","primary","tertiary"
DEFAULT (chr): Has credit in default? (binary: "yes","no")
BALANCE (dbl): Average yearly balance, in euros (numeric)
HOUSING (chr): Has housing loan? (binary: "yes","no")
LOAN (chr): Has personal loan? (binary: "yes","no")
Features related to the last contact during the current marketing campaign:
CONTACT (chr): Contact communication type (categorical: "unknown","telephone","cellular")
DAY (dbl): Last contact day of the month (numeric)
MONTH (chr): Last contact month of year (categorical: "jan", "feb", "mar", ..., "nov", "dec")
DURATION (dbl): Last contact duration, in seconds (numeric)
Additional Attributes:
CAMPAIGN (dbl): Number of contacts performed during this campaign and for this client (numeric, includes last contact)
PDAYS (dbl): Number of days that passed by after the client was last contacted from a previous campaign (numeric, -1 means client was not previously contacted)
PREVIOUS (dbl): Number of contacts performed before this campaign and for this client (numeric)
POUTCOME (chr): Outcome of the previous marketing campaign (categorical: "unknown","other","failure","success")
Target Variable (Response):
TERM_DEPOSIT (chr): Has the client subscribed a term deposit? (binary: "yes","no")
Source
Moro et al., 2014 S. Moro, P. Cortez and P. Rita. A Data-Driven Approach to Predict the Success of Bank Telemarketing. Decision Support Systems, Elsevier, 62:22-31, June 2014