marketing_campaign_tbl: Marketing Data for a Bank

In correlationfunnel: Speed Up Exploratory Data Analysis (EDA) with the Correlation Funnel

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

correlationfunnel documentation built on July 1, 2020, 10:28 p.m.