mbank: Bank marketing data set
In rsquaredacademy/rbin: Tools for Binning Data
mbank R Documentation
Bank marketing data set
Description
The data is related with direct marketing campaigns of a Portuguese banking institution.
The marketing campaigns were based on phone calls. Often, more than one contact to the
same client was required, in order to access if the product (bank term deposit) would
be ('yes') or not ('no') subscribed.
Usage
mbank
Format
A tibble with 4521 rows and 17 variables:
- age
age of the client
- job
type of job
- marital
marital status
- education
education level of the client
- default
has credit in default?
- housing
has housing loan?
- loan
has personal loan?
- contact
contact communication type
- month
last contact month of year
- day_of_week
last contact day of the week
- duration
last contact duration, in seconds
- campaign
number of contacts performed during this campaign and for this client
- pdays
number of days that passed by after the client was last contacted from a previous campaign
- previous
number of contacts performed before this campaign and for this clien
- poutcome
outcome of the previous marketing campaign
- y
has the client subscribed a term deposit?
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
rsquaredacademy/rbin documentation built on June 3, 2023, 6:07 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| mbank | R Documentation |
Bank marketing data set
Description
The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be ('yes') or not ('no') subscribed.
Usage
mbank
Format
A tibble with 4521 rows and 17 variables:
- age
age of the client
- job
type of job
- marital
marital status
- education
education level of the client
- default
has credit in default?
- housing
has housing loan?
- loan
has personal loan?
- contact
contact communication type
- month
last contact month of year
- day_of_week
last contact day of the week
- duration
last contact duration, in seconds
- campaign
number of contacts performed during this campaign and for this client
- pdays
number of days that passed by after the client was last contacted from a previous campaign
- previous
number of contacts performed before this campaign and for this clien
- poutcome
outcome of the previous marketing campaign
- y
has the client subscribed a term deposit?
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.